This document discusses the use of mathematical programming to optimize supply chain management. It begins with an introduction to mathematical programming and its applications in supply chain management. It then describes a generic mixed-integer programming model for supply chain configuration that aims to minimize total costs. The model includes constraints related to demand fulfillment, facility flows, capacity, material availability and open facilities. The document also discusses common modifications to the generic model, such as incorporating international factors, inventory, transportation and policies. It provides two case studies that apply the generic model to analyze different companies' supply chain costs.
OPTIMIZATION APPROACHES IN OPTIMAL INTEGRATED CONTROL, COMPUTATION AND COMMUN...ijctcm
This paper studies the existing approaches in optimal integrated control, computation and communication
problems. It concentrates on joint optimization problems aimed at finding communication/computation
policy and control signal. Different aspects including computational complexity, convexity, proposed
methods to find optimum and other issues related to control performance are studied and compared for different approaches.
A Comparison between FPPSO and B&B Algorithm for Solving Integer Programming ...Editor IJCATR
Branch and Bound technique (B&B) is commonly used for intelligent search in finding a set of integer solutions within a space of interest. The corresponding binary tree structure provides a natural parallelism allowing concurrent evaluation of sub-problems using parallel computing technology. Flower pollination Algorithm is a recently-developed method in the field of computational intelligence. In this paper is presented an improved version of Flower pollination Meta-heuristic Algorithm, (FPPSO), for solving integer programming problems. The proposed algorithm combines the standard flower pollination algorithm (FP) with the particle swarm optimization (PSO) algorithm to improve the searching accuracy. Numerical results show that the FPPSO is able to obtain the optimal results in comparison to traditional methods (branch and bound) and other harmony search algorithms. However, the benefits of this proposed algorithm is in its ability to obtain the optimal solution within less computation, which save time in comparison with the branch and bound algorithm.Branch and bound, flower pollination Algorithm; meta-heuristics; optimization; the particle swarm optimization; integer programming.
Application Of Analytic Hierarchy Process And Artificial Neural Network In Bi...IJARIDEA Journal
Abstract— An appropriate decision to bid initiates all bid preparation steps. Selective bidding will reduce the number of proposals to be submitted by the contractor and saves tender preparation time which can be utilized for refining the estimated cost. Usually in industrial engineering applications final decision will be based on the evaluation of many alternatives. This will be a very difficult problem when the criteria are expressed in different units or the pertinent data are not easily quantifiable. This paper emphasizes on the use of Analytic Hierarchy Process(AHP) for analyzing the risk degree of each factor, so that decision the can be taken accordingly in deciding an appropriate bid.AHP helps to decide the best solution from various selection criteria.The study also focuses on suggesting a much broader applicability of AHP and ANN techniques on decisions of bidding.
Keywords— Analytic Hierarchy Process(AHP), Artificial Neural Network(ANN), Consistency Index(CI),
Consistency Ratio(CR), Random Index(RI), Risk degree.
Issues in Query Processing and OptimizationEditor IJMTER
The paper identifies the various issues in query processing and optimization while
choosing the best database plan. It is unlike preceding query optimization techniques that uses only a
single approach for identifying best query plan by extracting data from database. Our approach takes
into account various phases of query processing and optimization, heuristic estimation techniques
and cost function for identifying the best execution plan. A review report on various phases of query
processing, goals of optimizer, various rules for heuristic optimization and cost components involved
are presented in this paper.
OPTIMIZATION APPROACHES IN OPTIMAL INTEGRATED CONTROL, COMPUTATION AND COMMUN...ijctcm
This paper studies the existing approaches in optimal integrated control, computation and communication
problems. It concentrates on joint optimization problems aimed at finding communication/computation
policy and control signal. Different aspects including computational complexity, convexity, proposed
methods to find optimum and other issues related to control performance are studied and compared for different approaches.
A Comparison between FPPSO and B&B Algorithm for Solving Integer Programming ...Editor IJCATR
Branch and Bound technique (B&B) is commonly used for intelligent search in finding a set of integer solutions within a space of interest. The corresponding binary tree structure provides a natural parallelism allowing concurrent evaluation of sub-problems using parallel computing technology. Flower pollination Algorithm is a recently-developed method in the field of computational intelligence. In this paper is presented an improved version of Flower pollination Meta-heuristic Algorithm, (FPPSO), for solving integer programming problems. The proposed algorithm combines the standard flower pollination algorithm (FP) with the particle swarm optimization (PSO) algorithm to improve the searching accuracy. Numerical results show that the FPPSO is able to obtain the optimal results in comparison to traditional methods (branch and bound) and other harmony search algorithms. However, the benefits of this proposed algorithm is in its ability to obtain the optimal solution within less computation, which save time in comparison with the branch and bound algorithm.Branch and bound, flower pollination Algorithm; meta-heuristics; optimization; the particle swarm optimization; integer programming.
Application Of Analytic Hierarchy Process And Artificial Neural Network In Bi...IJARIDEA Journal
Abstract— An appropriate decision to bid initiates all bid preparation steps. Selective bidding will reduce the number of proposals to be submitted by the contractor and saves tender preparation time which can be utilized for refining the estimated cost. Usually in industrial engineering applications final decision will be based on the evaluation of many alternatives. This will be a very difficult problem when the criteria are expressed in different units or the pertinent data are not easily quantifiable. This paper emphasizes on the use of Analytic Hierarchy Process(AHP) for analyzing the risk degree of each factor, so that decision the can be taken accordingly in deciding an appropriate bid.AHP helps to decide the best solution from various selection criteria.The study also focuses on suggesting a much broader applicability of AHP and ANN techniques on decisions of bidding.
Keywords— Analytic Hierarchy Process(AHP), Artificial Neural Network(ANN), Consistency Index(CI),
Consistency Ratio(CR), Random Index(RI), Risk degree.
Issues in Query Processing and OptimizationEditor IJMTER
The paper identifies the various issues in query processing and optimization while
choosing the best database plan. It is unlike preceding query optimization techniques that uses only a
single approach for identifying best query plan by extracting data from database. Our approach takes
into account various phases of query processing and optimization, heuristic estimation techniques
and cost function for identifying the best execution plan. A review report on various phases of query
processing, goals of optimizer, various rules for heuristic optimization and cost components involved
are presented in this paper.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Comparison of Cost Estimation Methods using Hybrid Artificial Intelligence on...IJERA Editor
Cost estimating at schematic design stage as the basis of project evaluation, engineering design, and cost
management, plays an important role in project decision under a limited definition of scope and constraints in
available information and time, and the presence of uncertainties. The purpose of this study is to compare the
performance of cost estimation models of two different hybrid artificial intelligence approaches: regression
analysis-adaptive neuro fuzzy inference system (RANFIS) and case based reasoning-genetic algorithm (CBRGA)
techniques. The models were developed based on the same 50 low-cost apartment project datasets in
Indonesia. Tested on another five testing data, the models were proven to perform very well in term of accuracy.
A CBR-GA model was found to be the best performer but suffered from disadvantage of needing 15 cost drivers
if compared to only 4 cost drivers required by RANFIS for on-par performance.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
The main goal of cluster analysis is to classify elements into groupsbased on their similarity. Clustering has many applications such as astronomy, bioinformatics, bibliography, and pattern recognition. In this paper, a survey of clustering methods and techniques and identification of advantages and disadvantages of these methods are presented to give a solid background to choose the best method to extract strong association rules.
Software size estimation at early stages of project development holds great significance to meet the competitive demands of software industry. Software size represents one of the most
interesting internal attributes which has been used in several effort/cost models as a predictor of effort and cost needed to design and implement the software. The whole world is focusing
towards object oriented paradigm thus it is essential to use an accurate methodology for measuring the size of object oriented projects. The class point approach is used to quantify classes which are the logical building blocks in object oriented paradigm. In this paper, we propose a class point based approach for software size estimation of On-Line Analytical
Processing (OLAP) systems. OLAP is an approach to swiftly answer decision support queries based on multidimensional view of data. Materialized views can significantly reduce the
execution time for decision support queries. We perform a case study based on the TPC-H benchmark which is a representative of OLAP System. We have used a Greedy based approach
to determine a good set of views to be materialized. After finding the number of views, the class point approach is used to estimate the size of an OLAP System The results of our approach are validated.
Software size estimation at early stages of project development holds great significance to meet
the competitive demands of software industry. Software size represents one of the most
interesting internal attributes which has been used in several effort/cost models as a predictor
of effort and cost needed to design and implement the software. The whole world is focusing
towards object oriented paradigm thus it is essential to use an accurate methodology for
measuring the size of object oriented projects. The class point approach is used to quantify
classes which are the logical building blocks in object oriented paradigm. In this paper, we
propose a class point based approach for software size estimation of On-Line Analytical
Processing (OLAP) systems. OLAP is an approach to swiftly answer decision support queries
based on multidimensional view of data. Materialized views can significantly reduce the
execution time for decision support queries. We perform a case study based on the TPC-H
benchmark which is a representative of OLAP System. We have used a Greedy based approach
to determine a good set of views to be materialized. After finding the number of views, the class
point approach is used to estimate the size of an OLAP System The results of our approach are
validated.
Rank Computation Model for Distribution Product in Fuzzy Multiple Attribute D...TELKOMNIKA JOURNAL
Ranking of an activity is very important to support work effectiveness. Previous works, ranking for distribution product is used by manual process or averaging value. Problem in this research, the research should be found the effective way to rank the distribution product. This research proposes assist the ranking with a computational model based on Fuzzy Multiple Decision Making (FMADM). Getting an effective ranking, a variable in FMADM computing is required. Variables is used in this research such as number of households, number of small-scale enterprises run by households, gross domestic regional income, and economic growth rate of a region. Research completion is assisted by using self-built research methods. Research method consists of determining value of origin, determining degree of membership, determining weight of each variable, calculation of relation matrix, calculation of the preference value in each village for ranking value, and last is sorting. Operationalized FMADM is gain a result with three priorities district. Priority number one is all of district that have a rank or Vij (alternative rank) higher than 0.4. It means only 7% or 5 villages with the highest rank. Priority number second s all of district that have rank between Vij = 0.26 and Vij = 0.4. It means only 62% or 44 villages. Priority number three is district that have a rank lower than Vij = 0.26, and only 31% or 22 villages. Impact in use of FMADM, calculated in rank, is the process runs effective and dynamic with changing of weighted. User can arrange of weighted as needed.
High dimensionality reduction on graphical dataeSAT Journals
Abstract In spite of the fact that graph embedding has been an intense instrument for displaying data natural structures, just utilizing all elements for data structures revelation may bring about noise amplification. This is especially serious for high dimensional data with little examples. To meet this test, a novel effective structure to perform highlight determination for graph embedding, in which a classification of graph implanting routines is given a role as a slightest squares relapse issue. In this structure, a twofold component selector is acquainted with normally handle the component cardinality at all squares detailing. The proposed strategy is quick and memory proficient. The proposed system is connected to a few graph embedding learning issues, counting administered, unsupervised and semi supervised graph embedding. Key Words:Efficient feature selection, High dimensional data, Sparse graph embedding, Sparse principal component analysis, Subproblem Optimization.
Modular Multi-Objective Genetic Algorithm for Large Scale Bi-level ProblemsStefano Costanzo
A genetic algorithm is used to solve the Centralised Peak-Load Pricing model on the European Air Traffic Management system. The Stackelberg equilibrium is obtained by means of an optimisation problem formulated as a bilevel linear programming model where the Central Planner sets one peak and one off-peak en-route charge and the Airspace Users choose the route among the available alternatives.
Disinfectants play an important role in health careassociated
infection control by either minimizing or preventing
microorganism dissemination. This article to study the
morphological changes which may be related to the lose of
antibiotic resistance after disinfectant exposure using SEM.
Showed all isolates resistant to ampicillin, amoxicillin, cloxacillin,
cephalexin, tetracycline, doxycycline, rifampin, chloramphenicol,
trimethoprim cefotaxime and erythromycin, while one of burn
isolates was susceptible for gentamicin, chloramphenicol and
trimethoprim, and 15 of burn, 6 of wound, 5 of ear, and all urine
isolates were susceptible to gentamicin using Kirby-Bauer
method.
The MICs of four common in use disinfectants (Hexatane,
Dettol, Savlon and Povidone – Iodine) were determined for all
isolates. The results showed that the MICs of Hexatane ranged
from (64–512) µg/ml, Dettol (2048–16384) µg/ml,
Savlon (4096:40960)–(32768:327680) µg/ml and for Povidone –
Iodine MICs were (8192–32768) µg/ml. It has been found that
burn and urine isolates were more resistant to disinfectants than
wound and ear isolates. According to the effect of subMICs of
disinfectants at different exposure patterns on antibiotic
resistance, the results showed lose of resistance to tetracycline,
doxycycline, rifampin, chloramphenicol, cefotaxime and
trimethoprim in %72, %72, %68, %22, %28 and %36 of isolates,
respectively. The results of SEM micrograph showed normal
morphology and small sized bacteria with nub formation on some
of them when exposed to dettol, and shape changes in cells with
bulging in exposed to Povidone-iodine, while elongation and
deformation were recorded in some cells in exposed to
Savlon(chlorohexidine/ cetrimide) and Hexatane (chlorohexidine/
gluconate), respectively.
Objective: To assess the effect of a kinesitherapeutic
program of special exercises for treatment of pain intensity and
endurance of the extensor trunk muscles in patients with
chronic lumbalgy.
Methods: The study included 110 patients with chronic
lumbalgy, equally distributed in two treatment groups.
Participants in the experimental group performed the
recommended special exercises 3 times a week at home, while
those in the control group only followed the guidelines of a
physician. At the beginning of the study and 12 months later,
the pain intensity of all the participants was assessed by means
of Visual Analog Scale.
Results: In contrast to the participants in the control
group, those in the experimental group at the end of observation
were reported to experience a significant reduction in pain
intensity.
Conclusions: Treatment with specific exercises proved
more effective in terms of pain complaints in patients with
chronic lumbalgy.
A study on the photoperiodic control of flower in rice
is advancing and rice has become an of short day plant. Many
genes used in flowering time determination in rice have been
identified by many methods. The conclusion from these
molecular studies is a remarkable conservation of genes which
play an important role in the control of flowering time in rice.
The rice photoperiod sensitivity gene Hd3a was originally
detected as a heading date related quantitative trait locus found
on chromosome 6 of rice. High resolution linkage mapping of
Hd3a was carried using a huge segregating population derived
from advanced backcross progeny between a japonica variety,
Nipponbare, and an indica variety, Kasalath. Researchers
revealed that there are three (3) pathways for the day length
regulation of flowering in rice, short day activation pathway and
long day suppression pathway lastly the long day activation
pathway. Some genes where used in multiple pathways and
others are specific to a particular pathway. There regulation also
depends on the developmental stages. Rice may be an ideal plant
to study the night break effect on flowering. In the near future
there is need for better understand the controlled of flowering in
rice at the genetic level.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Comparison of Cost Estimation Methods using Hybrid Artificial Intelligence on...IJERA Editor
Cost estimating at schematic design stage as the basis of project evaluation, engineering design, and cost
management, plays an important role in project decision under a limited definition of scope and constraints in
available information and time, and the presence of uncertainties. The purpose of this study is to compare the
performance of cost estimation models of two different hybrid artificial intelligence approaches: regression
analysis-adaptive neuro fuzzy inference system (RANFIS) and case based reasoning-genetic algorithm (CBRGA)
techniques. The models were developed based on the same 50 low-cost apartment project datasets in
Indonesia. Tested on another five testing data, the models were proven to perform very well in term of accuracy.
A CBR-GA model was found to be the best performer but suffered from disadvantage of needing 15 cost drivers
if compared to only 4 cost drivers required by RANFIS for on-par performance.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
The main goal of cluster analysis is to classify elements into groupsbased on their similarity. Clustering has many applications such as astronomy, bioinformatics, bibliography, and pattern recognition. In this paper, a survey of clustering methods and techniques and identification of advantages and disadvantages of these methods are presented to give a solid background to choose the best method to extract strong association rules.
Software size estimation at early stages of project development holds great significance to meet the competitive demands of software industry. Software size represents one of the most
interesting internal attributes which has been used in several effort/cost models as a predictor of effort and cost needed to design and implement the software. The whole world is focusing
towards object oriented paradigm thus it is essential to use an accurate methodology for measuring the size of object oriented projects. The class point approach is used to quantify classes which are the logical building blocks in object oriented paradigm. In this paper, we propose a class point based approach for software size estimation of On-Line Analytical
Processing (OLAP) systems. OLAP is an approach to swiftly answer decision support queries based on multidimensional view of data. Materialized views can significantly reduce the
execution time for decision support queries. We perform a case study based on the TPC-H benchmark which is a representative of OLAP System. We have used a Greedy based approach
to determine a good set of views to be materialized. After finding the number of views, the class point approach is used to estimate the size of an OLAP System The results of our approach are validated.
Software size estimation at early stages of project development holds great significance to meet
the competitive demands of software industry. Software size represents one of the most
interesting internal attributes which has been used in several effort/cost models as a predictor
of effort and cost needed to design and implement the software. The whole world is focusing
towards object oriented paradigm thus it is essential to use an accurate methodology for
measuring the size of object oriented projects. The class point approach is used to quantify
classes which are the logical building blocks in object oriented paradigm. In this paper, we
propose a class point based approach for software size estimation of On-Line Analytical
Processing (OLAP) systems. OLAP is an approach to swiftly answer decision support queries
based on multidimensional view of data. Materialized views can significantly reduce the
execution time for decision support queries. We perform a case study based on the TPC-H
benchmark which is a representative of OLAP System. We have used a Greedy based approach
to determine a good set of views to be materialized. After finding the number of views, the class
point approach is used to estimate the size of an OLAP System The results of our approach are
validated.
Rank Computation Model for Distribution Product in Fuzzy Multiple Attribute D...TELKOMNIKA JOURNAL
Ranking of an activity is very important to support work effectiveness. Previous works, ranking for distribution product is used by manual process or averaging value. Problem in this research, the research should be found the effective way to rank the distribution product. This research proposes assist the ranking with a computational model based on Fuzzy Multiple Decision Making (FMADM). Getting an effective ranking, a variable in FMADM computing is required. Variables is used in this research such as number of households, number of small-scale enterprises run by households, gross domestic regional income, and economic growth rate of a region. Research completion is assisted by using self-built research methods. Research method consists of determining value of origin, determining degree of membership, determining weight of each variable, calculation of relation matrix, calculation of the preference value in each village for ranking value, and last is sorting. Operationalized FMADM is gain a result with three priorities district. Priority number one is all of district that have a rank or Vij (alternative rank) higher than 0.4. It means only 7% or 5 villages with the highest rank. Priority number second s all of district that have rank between Vij = 0.26 and Vij = 0.4. It means only 62% or 44 villages. Priority number three is district that have a rank lower than Vij = 0.26, and only 31% or 22 villages. Impact in use of FMADM, calculated in rank, is the process runs effective and dynamic with changing of weighted. User can arrange of weighted as needed.
High dimensionality reduction on graphical dataeSAT Journals
Abstract In spite of the fact that graph embedding has been an intense instrument for displaying data natural structures, just utilizing all elements for data structures revelation may bring about noise amplification. This is especially serious for high dimensional data with little examples. To meet this test, a novel effective structure to perform highlight determination for graph embedding, in which a classification of graph implanting routines is given a role as a slightest squares relapse issue. In this structure, a twofold component selector is acquainted with normally handle the component cardinality at all squares detailing. The proposed strategy is quick and memory proficient. The proposed system is connected to a few graph embedding learning issues, counting administered, unsupervised and semi supervised graph embedding. Key Words:Efficient feature selection, High dimensional data, Sparse graph embedding, Sparse principal component analysis, Subproblem Optimization.
Modular Multi-Objective Genetic Algorithm for Large Scale Bi-level ProblemsStefano Costanzo
A genetic algorithm is used to solve the Centralised Peak-Load Pricing model on the European Air Traffic Management system. The Stackelberg equilibrium is obtained by means of an optimisation problem formulated as a bilevel linear programming model where the Central Planner sets one peak and one off-peak en-route charge and the Airspace Users choose the route among the available alternatives.
Disinfectants play an important role in health careassociated
infection control by either minimizing or preventing
microorganism dissemination. This article to study the
morphological changes which may be related to the lose of
antibiotic resistance after disinfectant exposure using SEM.
Showed all isolates resistant to ampicillin, amoxicillin, cloxacillin,
cephalexin, tetracycline, doxycycline, rifampin, chloramphenicol,
trimethoprim cefotaxime and erythromycin, while one of burn
isolates was susceptible for gentamicin, chloramphenicol and
trimethoprim, and 15 of burn, 6 of wound, 5 of ear, and all urine
isolates were susceptible to gentamicin using Kirby-Bauer
method.
The MICs of four common in use disinfectants (Hexatane,
Dettol, Savlon and Povidone – Iodine) were determined for all
isolates. The results showed that the MICs of Hexatane ranged
from (64–512) µg/ml, Dettol (2048–16384) µg/ml,
Savlon (4096:40960)–(32768:327680) µg/ml and for Povidone –
Iodine MICs were (8192–32768) µg/ml. It has been found that
burn and urine isolates were more resistant to disinfectants than
wound and ear isolates. According to the effect of subMICs of
disinfectants at different exposure patterns on antibiotic
resistance, the results showed lose of resistance to tetracycline,
doxycycline, rifampin, chloramphenicol, cefotaxime and
trimethoprim in %72, %72, %68, %22, %28 and %36 of isolates,
respectively. The results of SEM micrograph showed normal
morphology and small sized bacteria with nub formation on some
of them when exposed to dettol, and shape changes in cells with
bulging in exposed to Povidone-iodine, while elongation and
deformation were recorded in some cells in exposed to
Savlon(chlorohexidine/ cetrimide) and Hexatane (chlorohexidine/
gluconate), respectively.
Objective: To assess the effect of a kinesitherapeutic
program of special exercises for treatment of pain intensity and
endurance of the extensor trunk muscles in patients with
chronic lumbalgy.
Methods: The study included 110 patients with chronic
lumbalgy, equally distributed in two treatment groups.
Participants in the experimental group performed the
recommended special exercises 3 times a week at home, while
those in the control group only followed the guidelines of a
physician. At the beginning of the study and 12 months later,
the pain intensity of all the participants was assessed by means
of Visual Analog Scale.
Results: In contrast to the participants in the control
group, those in the experimental group at the end of observation
were reported to experience a significant reduction in pain
intensity.
Conclusions: Treatment with specific exercises proved
more effective in terms of pain complaints in patients with
chronic lumbalgy.
A study on the photoperiodic control of flower in rice
is advancing and rice has become an of short day plant. Many
genes used in flowering time determination in rice have been
identified by many methods. The conclusion from these
molecular studies is a remarkable conservation of genes which
play an important role in the control of flowering time in rice.
The rice photoperiod sensitivity gene Hd3a was originally
detected as a heading date related quantitative trait locus found
on chromosome 6 of rice. High resolution linkage mapping of
Hd3a was carried using a huge segregating population derived
from advanced backcross progeny between a japonica variety,
Nipponbare, and an indica variety, Kasalath. Researchers
revealed that there are three (3) pathways for the day length
regulation of flowering in rice, short day activation pathway and
long day suppression pathway lastly the long day activation
pathway. Some genes where used in multiple pathways and
others are specific to a particular pathway. There regulation also
depends on the developmental stages. Rice may be an ideal plant
to study the night break effect on flowering. In the near future
there is need for better understand the controlled of flowering in
rice at the genetic level.
The Mobile WiMAX simulation model is
implemented by using MATLAB code. The simulation model
consists of different phases which will help us to model the
transmitter and receiver section. In the next phase, the data is
being modulated by using the modulation methods QPSK and
QAM followed by OFDM transmitter. These phases can be
used to show the performance of these modulation methods
under varying condition. The Multipath Rician fading model is
implemented to introduce the fading in the transmitter data.
Receiver section is used to receive data from channel will be fed
into the OFDM demodulation. In the next phase, Fast Fourier
Transform is used to disassemble OFDM frame. After that
convolution encoding is applied to data and interleaving is
carried on by using MATLAB function. BPSK method is used
to change the data in the form of bit information to be symbols.
We had used
- In the present scenario carbon emission and sand
mining are major concern due to its hazardous effect to
environment and making serious imbalance to the ecosystem.
Various studies have been conducted to reduce severe effect on
environment, using byproducts like copper slag as partial
replacement of fine aggregate. Different researchers have also
revealed numerous uses of copper slag as a replacing agent in
determining the strength of concrete. A comprehensive review of
studies has been presented in this paper for scope of replacement
of fine aggregate from copper slag in concrete
The objective of this present work is to estimate
the deflection, stress and mode frequency induced in the leaf
spring of an army jeep design by the ordinance factory. The
emphasis in this project is on the application of computer aided
analysis using finite element concept.
The leaf spring, which we are analyzing, is a specially
designed leaf spring used in military jeeps. This spring is
intended to bare heavy jerks and vibrations reduced during
military operations. A model of such jeep has been shown in this
project report.
In analysis part the finite element of leaf spring is created
using solid tetrahedron elements, appropriate boundary
conditions are applied, material properties are given and loads
are applied as per its design, the resultant deformation, mode
frequencies and stresses obtained are reported and discussed
This paper contains the details of the study
of Insurance Management system. The developed system
will manage all the information regarding Insured and
policies offered by the Life Insurance companies. It also
contains an integrated tool of voice enabled appointment
scheduler that alerts an agent for his daily activities. It also
contains features like Smart Data backup system,
Provisioning System, Policies Record, Commission Reports
The application created Proposal/ Policy Entries and then
was helpful for agents. It will be designed to offer east
accessible to all records to provide better maintainability
and to enable the user to make the required modification
as and when necessary. Execution of this project would
enable the user to seek, use and manipulate the records
pertaining to every client.
Diabetic retinopathy is the cause for
blindness in the human society. Early detection of it prevents
blindness. Image processing techniques can reduce the work of
ophthalmologists and the tools used to detect Diabetic
Retinopathy Patients. Proliferative diabetic retinopathy is the
most advanced stage of diabetic retinopathy, and is classified by
the growth of new blood vessels. These blood vessels are
abnormal and fragile, and are susceptible to leaking blood and
fluid onto the retina, which can cause severe vision loss. First,
vessel-like patterns are segmented by using Ridge Strength
Measurement and Watershed lines. The second step is measuring
the vessel pattern obtained [5][10]. Many features that are
extracted from the blood vessels such as shape, position,
orientation, brightness, contrast and line density have been used
to quantitative patterns in retinal vasculature. Based on the seven
features extracted, the segment is classified as normal or
abnormal by using Support Vector Machine Classifier [6][8]. The
obtained accuracy may be sufficient to reduce the workload of an
ophthalmologist and to prioritize the patient grading queues.
Urine samples collected from hospitalized
male and female patients belonging to different age groups
suffering from urinary tract infections were used in the present
study. The samples were subjected to isolate the strains of E.coli.
The isolates were found to be capable of producing biofilm and
Extended Spectrum β –Lactamases (ESBLs) especially of CTX –
M - type. Both male and female affected individuals exhibited
high incidence of E.coli in the urine samples. The overall results
indicated that the biofilm producing E.coli strains with β –
lactamase activity had highest antibiotic resistance
Pruning cycle is one of the most important
operations in tea with a primary objective to replace the old set
of maintenance foliage by a fresh one, so that tea bushes
remain healthy and continue to provide succulent shoots to
manufacture quality tea. An investigation was initiated in
Experimental Farm, Darjeeling Tea Research and
Development Centre, Kurseong, Dist. Darjeeling at 1347 m
a.m.s.l on old chinary tea bushes to evaluate the suitability of
pruning cycles of varying durations and pruning skiffing
sequence on yield and crop distribution. Shoot extension rate,
active and banjhi shoot (shoots with restricted growth), net
photosynthetic rate, leaf water potential, leaf area distribution
and tea yield were measured. Active shoot density decreased
with age, with the corresponding increase in banjhi shoot
density. Net photosynthetic rate and leaf water potential were
highest during the first year and then decreased subsequently
in all pruning cycles. Leaf area index (LAI) increased up to 3rd
year in 4 and 5 year pruning cycles after pruning and reduced
thereafter. The maximum yield was observed in 5 year pruning
cycle in 3rd year after pruning and then reduced with pruning
age. The yield of all pruning cycle were lowest in first year
after pruning which may be attributed to small bushes with
few branches and lower LAI. The maximum yield was also
observed when pruned in December followed by November
which may be due to maximum accumulation of root starch in
December.
Dust emission has become a major cause of
environmental pollution which has many adverse effects on living
beings and non-living things. Construction industry revolution
and development of Southern Pune has led to an increase in the
demand of building materials manifold. The process of quarrying
for extraction of building materials is responsible for heavy air
pollution. Blasting, handling and transportation of aggregates
emits large quantity of dust particles within Katraj region. Dry
weather condition and high speed wind spreads the dust which
increases the environmental risk. The objective to study the
analysis of impact of dust pollution on environment within the
Katraj region is to assess the potential risks in quantitative and
qualitative manner. The core knowledge of dust concentration,
behavior and complex properties of particulate matter helps to
formulate the methods and policies to exert control on their
emission and distribution.
The natural as well as artificial lakes, the source of ground
water in Southern region of Katraj, are subjected to the
deposition of heavy suspended particulate matter. Through
experimentation, it has been observed that the deposition of such
dust matter in the local atmosphere has led to significant changes
in the physical, chemical and biological parameters relating to
natural resources as it reflects in the alarming deviation of these
parameters from standard values. The present study will create
awareness and save the environment of Katraj from impending
consequences of dust particle emission
The present investigation is based on commodity
derivative and its influence in indian market. Its also represents
how the Commodity derivative of india effects globel word. It
also forcast the scope of commodity derivative trading as well as
future assets based on impact of futures trading on commodity
prices. The Market Microstructure is also analysed and
Futuristic the markets
Economic life is full of uncertainties and only thing
that is certain here is that most of it is conducted into the
dynamic environment; this brings a question in point though:
Why individuals opt for entrepreneurship that involves a good
amount of risk, and where there are little or no returns? There
are ample research data available to show people are more
optimistic when decision is taken under uncertainty and even
show overconfidence in the judgement.
The relative ability is often overestimated by the overconfident
individuals and so probabilistically, their perceptions for their
actions seem to be safer to them in comparison to those who
show no overconfidence. Interesting findings are shown in the
sample of 2,944 entrepreneurs there are as many as 81%
people who feel their chances of obtaining success are at least
70%, there are 33% other people with a belief that the
probability of 100% exists in terms of their chances of success.
The truth is that, as many as 75% new businesses fail to
exist after 5 years. Here arises a question that, are the
entrepreneurs not in a position to see the risk, or do they carry
a different perception of the risk involved in their acts? Going
through a recent study, it is clear that the entrepreneurs are
very much cautious (even more than what we think) and the
opinion that entrepreneurs have more tolerance for risk is
considered wrong in the findings.
There are few cases though, where entrepreneurs seem to
bear less risk than normal, still it does not stop them to take
risk.
Some people find these findings controversial, but the
truth is that, it is not the case. Different dimensions are set by
entrepreneurs for uncertainty; therefore, the oxymoron as
discussed above in reality justifies their actions.
As per the belief of entrepreneurs, there are two
dimensions of uncertainty: Uncertainty related to the ability
and the uncertainty of the market. Just like most of the people,
entrepreneurs too hate the market risk, however they do
appreciate their own abilities that results in compensating for
their hatred for risk. The main objective of this paper is to
showcase the impact of overconfidence in the behavior of
entrepreneur.
The heat transfer and friction factor were
experimentally investigated in a louvered strip inserted tube in
turbulent flow region. A copper tube of (I.D=28mm, O.D=32mm)
and 900mm length was used. A louvered strip insert with
different geometrical configuration was inserted into the smooth
tube. A uniform heat flux condition was created by wrapping
heating tape of 2500 watt around the test section. Fibre glass
cloth was used as a thermal insulator which surrounds the
heating tape. Outer surface temperature of the tube were
measured at five different equally spaced points of test section by
k-typethermocouples. Two thermocouples were used to measure
the inlet and outlet temperature of water. The Reynolds numbers
were varied in the range of 2500 to 4000 with constant heat flux
of 24 kw/m2 for smooth tube and louvered strip inserted. Nusselt
number and friction factor obtained for louvered strip (with
forward backward arrangement) > Nusselt number and friction
factor for louvered strip (with semi-forward semi-backward
arrangement)> Nusselt number and friction factor for louvered
strip (with forward arrengement).
The best way to invest your surplus money and
take back the best rate of return among all financial investment
avenues is to invest in the Stock Market. And stock markets give
us the most common, the most successful way of Investment i.e.
Equity shares. We have a fixed Income bearing Securities. But
when it comes to analysis part, the equity shares become the most
difficult part. Equity shares have two great features and that of
Risk lunation inherent in it and the growth that market forces of
demand and supply provide it.
As an investor you should know that what your top priority
as an investor is. There are many ways of doing investment.
Every investment decision has two parts – Risk and Return. The
article is an attempt to improve your ability in the fields of
investments especially for equity shares or equity stock or which
represents the direct ownership securities. So try to know the
intrinsic value of the equity stock, not only mathematically but
try to measure how fundamentally strong the equities going to be
in which you will be investing.
This study assesses sound performance at
building front façades as well as types of design configuration
of the self-protected building envelops which are often exposed
to a linear finite-length sound source (e.g. traffic noise).
Impacts of noise attenuation at the surface level of the building
façade are also dealt with. The study includes an evaluation of
the architectural elements shaping the configuration of the
façade as a means of self-protection for noise attenuation
against traffic noise whereby the architects and engineers have
neither the choice of averting such disturbing sources nor using
natural buffers or man-made barriers to shelter buildings
aligned at main streets. A theoretical background is rendered
so as to clarify the concept of self-protected building envelops
and their role in the traffic noise attenuation. Computer
simulation of mathematical models are also applied to test the
effect of the facade design, articulation and configuration of
envelop on noise attenuation. However, design alternatives of
simulated different front façades facing traffic noise are
analyzed as case studies. This study concludes with some useful
findings depicting the relationship between envelop
configuration and noise attenuation in order to make the
building more self-protected. A few general considerations are
added at the end of the paper.
Under nutrition is often an invisible and silent
emergency.2 It recognizes that hunger and malnutrition are rooted
in poverty, deprivation, and under development, and that they are
the result of inadequate access to the basic requirements for
nutritional well-being, including safe and adequate food, care,
health, education and a clean environment.1 Present study was
designed to find the efficacy of the nutritional intervention for the
recovery of impaired carbohydrate metabolism and correlation of
weight and height with PP-Sugar and BMI after nutritional
rehabilitation.105 test and 100 control SAM children without
infection, of 1 to 5 years of age and either sex were enrolled. Test
group was given treatment of nutritional intervention therapy,
providing 2.5 to 3gm Protein and 90-100 kcal / kg body
Weight/day, for the three months.
Their blood sugar, BMI, weight and height were measured before
and after the nutritional therapy. Before the nutritional
intervention treatment P values for F and PP blood glucose, BMI,
Weight and height were insignificant suggestive of similar baseline
characteristics at enrollment. After nutritional intervention
treatment P values for F and PP blood glucose, BMI, Weight and
height were significant suggestive.
The r value of Pearson correlation coefficient for Sugar PP in the
study group was, showing poor positive correlation with height and
r value for BMI in the study group was showing poor negative
correlation with height.
The r value of Pearson correlation coefficient for Sugar PP in the
study group was, showing poor negative correlation with weight
and r value for BMI in the study group was showing poor positive
correlation with weight.
Depending on results the investigators conclude that for the speedy
recovery of the impaired carbohydrate metabolism in SAM
children it is the most effective food supplement.
— Oxidative stress is well known to be involved in the
pathogenesis of lifestyle-related diseases, including, hypertension,
diabetes mellitus, coronary artery diseases, and malignancies.
However, oxidative stress also has a useful role in physiologic
adaptation and in the regulation of intracellular signal
transduction. Therefore, a significant description of oxidative
stress may be “a condition where oxidative forces go beyond the
antioxidant systems due to loss of the equilibrium between them”.
Significant Nitric Oxide (NO) confirmed as a envoy of
vasodilatation, derivative from the endothelium. Coronary artery
disease also defined as atherosclerotic heart diseases are the
outcome of the growth of antheromatous plaques (made up of
fats, cholesterol etc) within the walls of the coronary arteries that
provide the myocardium with oxygen and nutrients. The evidence
of the plaque in the lumen (free space in the artery for the flow of
nutrients, oxygen etc.) of an artery causes tapering of lumen of
the artery by declining its diameter. NO levels show a significant
relation with higher BMI and hypertension in coronary artery
disease. Many research have shown that adipose tissue contains
NO synthetase enzyme, and is thus an impending NO source.
Biological activity of Nitric Oxide provides clinicians with
additional therapeutic options in the treatment of cardiovascular
disease which will subordinate oxidative stress, a process which is
becoming gradually more standard as critical in the
pathophysiology of vascular disease.
Surrogate modeling for industrial designShinwoo Jang
We describe GTApprox | a new tool for medium-scale surrogate modeling in industrial design. Compared to existing software, GTApprox brings several innovations: a few novel approximation algorithms, several advanced methods of automated model selection, novel options in the form of hints. We demonstrate the efficiency of GTApprox on a large collection of test problems. In addition, we describe several applications of GTApprox to real engineering problems.
GRID COMPUTING: STRATEGIC DECISION MAKING IN RESOURCE SELECTIONIJCSEA Journal
The rapid development of computer networks around the world generated new areas especially in computer instruction processing. In grid computing, instruction processing is performed by external processors available to the system. An important topic in this area is task scheduling to available external resources. However, we do not deal with this topic here. In this paper we intend to work on strategic decision making on selecting the best alternative resources for processing instructions with respect to criteria in special conditions. Where the criteria might be security, political, technical, cost, etc. Grid computing should be determined with respect to the processing objectives of instructions of a program. This paper seeks a way through combining Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to help us in ranking and selecting available resources according to considerable criteria in allocating instructions to resources. Therefore, our findings will help technical managers of organizations in choosing as well as ranking candidate alternatives for processing program instructions.
Design and Optimization of Supply Chain Network with Nonlinear Log-Space Mode...RSIS International
This proposal intends to address the practical vulnerabilities in the state-of-the-art models for optimal design of supply chain network. While the conventional models attempt to transform the design constraints of the supply chain network into sum of cost functions, the proposed model will transform the cost function into a nonlinear subspace. Moreover, the subspace will be optimized under a logarithmic scale and so the multiple network constraints such as stock transportation, inventory, echelon levels and backorders can be mapped within the subspace. Subsequently, robust optimization algorithms based on biological inspiration will be proposed. The optimization algorithms will be included with adaptiveness and so the nonlinear cost function can be solved effectively. The adaptiveness will be mainly based on the ability of handing every network constraints such as echelon levels, inventory, etc
Review on Algorithmic and Non Algorithmic Software Cost Estimation Techniquesijtsrd
Effective software cost estimation is the most challenging and important activities in software development. Developers want a simple and accurate method of efforts estimation. Estimation of the cost before starting of work is a prediction and prediction always not accurate. Software effort estimation is a very critical task in the software engineering and to control quality and efficiency a suitable estimation technique is crucial. This paper gives a review of various available software effort estimation methods, mainly focus on the algorithmic model and non algorithmic model. These existing methods for software cost estimation are illustrated and their aspect will be discussed. No single technique is best for all situations, and thus a careful comparison of the results of several approaches is most likely to produce realistic estimation. This paper provides a detailed overview of existing software cost estimation models and techniques. This paper presents the strength and weakness of various cost estimation methods. This paper focuses on some of the relevant reasons that cause inaccurate estimation. Pa Pa Win | War War Myint | Hlaing Phyu Phyu Mon | Seint Wint Thu "Review on Algorithmic and Non-Algorithmic Software Cost Estimation Techniques" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26511.pdfPaper URL: https://www.ijtsrd.com/engineering/-/26511/review-on-algorithmic-and-non-algorithmic-software-cost-estimation-techniques/pa-pa-win
Mathematical models and algorithms challengesijctcm
This paper succinctly illustrates challenges encountered when modelling systems mathematically.
Mathematical modelling entirely entails math symbols, numbers and relations forming a functional
equation. These mathematical equations can represent any system of interests, also provides ease computer
simulations. Mathematical models are extensively utilized in different fields i.e. engineering, by scientists,
and analysts to give a clear understanding of the problem. Modelling contributed a lot since inversion of
the concept. Simple and complex structures erected as a result of modelling. In that sense modelling is an
important part of engineering. It can be referred to as the primary building block of every system. A
complex model however is not an ideal solution. Engineers have to be cautious not to discard all
information as this might render the designed model useless – as detailed in this paper the model should be
simple with all necessary and relevant data. Basically the purpose of this paper is to show the importance
and clearly explain in detail challenges encountered when modelling
FROM PLM TO ERP : A SOFTWARE SYSTEMS ENGINEERING INTEGRATIONijseajournal
The present paper on three related issues and their integration Product lifecycle management , Enterprise Planning resources and Manufacturing execution systems. Our work is how to integrate all these in a unified systems engineering framework. As most company about two third claim to have integrate ERP to PLM, ; we still observe some related problems as also mentioned by Aberdeen group. In actual global data sharing, we have some options to also integrate systems best practices towards such objective. Such critical study come with solution by reverse engineering, revisiting requirement engineering steps and propose a validation and verification for the success factors of such integration.
Simulation in the supply chain context a survey Sergio Terzia,.docxbudabrooks46239
Simulation in the supply chain context: a survey
Sergio Terzia,*, Sergio Cavalierib a Politecnico di Milano, Department of Economics, Industrial and Management Engineering, Piazza Leonardo da Vinci 32, 20133 Milan, Italy b Department of Industrial Engineering, Universita` di Bergamo, Viale Marconi 5, 24044 Dalmine, Italy Received 29 January 2003; accepted 13 June 2003
Abstract
The increased level of competitiveness in all industrial sectors, exacerbated in the last years by the globalisation of the economies and by the sharp fall of the final demands, are pushing enterprises to strive for a further optimisation of their organisational processes, and in particular to pursue new forms of collaboration and partnership with their direct logistics counterparts. As a result, at a company level there is a progressive shift towards an external perspective with the design and implementation of new management strategies, which are generally named with the term of supply chain management (SCM). However, despite the flourish of several IT solutions in this context, there are still evident hurdles to overcome, mainly due to the major complexity of the problems to be tackled in a logistics network and to the conflicts resulting from local objectives versus network strategies. Among the techniques supporting a multi-decisional context, as a supply chain (SC) is, simulation can undoubtedly play an important role, above all for its main property to provide what-if analysis and to evaluate quantitatively benefits and issues deriving from operating in a co-operative environment rather than playing a pure transaction role with the upstream/downstream tiers. The paper provides a comprehensive review made on more than 80 articles, with the main purpose of ascertaining which general objectives simulation is generally called to solve, which paradigms and simulation tools are more suitable, and deriving useful prescriptions both for practitioners and researchers on its applicability in decision-making processes within the supply chain context. # 2003 Elsevier B.V. All rights reserved. Keywords: Parallel and distributed simulation; Supply chain management; High level architecture; Survey 1. Introduction Modern industrial enterprises operate in a rapidly changing world, stressed by even more global competition, managing world-wide procurement and unforeseeable markets, supervising geographically distributed production plants, striving for the provision of outstanding products and high quality customer service. More than in the past, companies which are not able to revise periodically their strategies and, accordingly, to modify their organisational processes seriously risk to be pulled out from the competitive edge. In the 1990s, companies have made huge efforts for streamlining their internal business processes, identifying and enhancing the core activities pertaining to the product value chain, and invested massively in new intra-company information and communicat.
IJREI_Selection model for material handling equipment’s used in flexible manu...Husain Mehdi
Material handling (MH) is important issue for every production site and has a great dependence upon the layout of the system. The important issue in the design of MH system is the selection of material handling equipment for every MH operation. Based upon the literature survey in this area, our purpose is to focus on the evaluation of the MHS-Layout of the system, due to their strong interdependence. The aim of this paper is to present a method for selection of material handling equipment (MHE) for flexible manufacturing system. In the first phase, the system consider major issues, rate of transfer, average time to transfer, flexibility etc., which is essential for the system. In second phase, the system selects the most feasible MHE types for every MH operation in a given application depends upon these major issues using fuzzy logic controller.
Proceedings of the 2015 Industrial and Systems Engineering Res.docxwkyra78
Proceedings of the 2015 Industrial and Systems Engineering Research Conference
S. Cetinkaya and J. K. Ryan, eds.
Use of Symbolic Regression for Lean Six Sigma Projects
Daniel Moreno-Sanchez, MSc.
Jacobo Tijerina-Aguilera, MSc.
Universidad de Monterrey
San Pedro Garza Garcia, NL 66238, Mexico
Arlethe Yari Aguilar-Villarreal, MEng.
Universidad Autonoma de Nuevo Leon
San Nicolas de los Garza, NL 66451, Mexico
Abstract
Lean Six Sigma projects and the quality engineering profession have to deal with an extensive selection of tools
most of them requiring specialized training. The increased availability of standard statistical software motivates the
use of advanced data science techniques to identify relationships between potential causes and project metrics. In
these circumstances, Symbolic Regression has received increased attention from researchers and practitioners to
uncover the intrinsic relationships hidden within complex data without requiring specialized training for its
implementation. The objective of this paper is to evaluate the advantages and drawbacks of using computer assisted
Symbolic Regression within the Analyze phase of a Lean Six Sigma project. An application of this approach in a
service industry project is also presented.
Keywords
Symbolic Regression, Data Science, Lean Six Sigma
1. Introduction
Lean Six Sigma (LSS) has become a well-known hybrid methodology for quality and productivity improvement in
organizations. Its wide adoption in several industries has shaped Process Innovation and Operational Excellence
initiatives, enabling LSS to become a main topic in quality practitioner sites of interest [1], recognized Six Sigma
(SS) certification body of knowledge contents [2], and professional society conferences [3].
However LSS projects and the quality engineering profession have to deal with an extensive selection of tools most
of them requiring specialized training. To assist LSS practitioners it is common to categorize tools based on the
traditional DMAIC model which stands for Define, Measure, Analyze, Improve, and Control phases. Table 1
presents an overview of the main tools that are commonly used in each phase of a LSS project, allowing team
members to progressively develop an understanding between realizing each phase’s intent and how the selected
tools can contribute to that purpose.
This paper focuses on the Analyze phase where tools for statistical model building are most likely to be selected.
The increased availability of standard statistical software motivates the use of advanced data science techniques to
identify relationships between potential causes and project metrics. In these circumstances Symbolic Regression
(SR) has received increased attention from researchers and practitioners even though SR is still in an early stage of
commercial availability.
The objective of this paper is to evaluate the advantages and drawbacks o ...
Recent joint surgery studies reveal increased
revisions and resurfacing of the metal on metal hip joints. Metal
on metal hip implants were developed more than thirty years ago
and their application has been refined because of availability of
advanced manufacturing techniques and partly by advancements
in material science and engineering. Development of composite
materials may provide greater durability to metal-on-metal hip
implants .This review article is a study of the latest literature of
metal-on-metal hip implants and its various modeling techniques.
Numbers of methods are used for convergence and numerical
solution to investigate the performance of metal-on-metal hip
implant for accurate stable solution. This paper presents analysis
done by various researchers on metal-on-metal hip implants for
wear, lubrication, fatigue, bio-tribo-corrosion, design, toxicity
and resurfacing. After in vivo and in vitro studies, it is found that
all these methods have limitations. There is a need of more
insight for lubrication analysis, geometry of bearings, materials
and input parameters. The information provided in this work is
intended as an aid in the assessment of metal-on-metal hip joints.
Background Hospital contributes significantly tangible and intangible resources on a concurred plan by the scheduling of surgery on the OT list. Postponement decreases efficiency by declining throughput leads to wastage of resources hence burden to the nation. Patients and their family face economic and emotional implication due to the postponement. Postponement rate being a quality indicator controls check mechanism could be developed from the results. Postponement of elective scheduled operations results in inefficient use of the operating room (OR) time on the day of surgery. Inconvenience to patients and families are also caused by postponements. Moreover, the day of surgery (DOS) postponement creates logistic and financial burden associated with extended hospital stay and repetitions of pre-operative preparations to an extent of repetition of investigations in some cases causing escalated costs, wastage of time and reduced income. Methodology A cross-sectional study was done in the operation theaters of a tertiary care hospital in which total ten operation theaters of General Surgery Data of scheduled, performed and postponed surgeries was collected from all the operation theater with effect from March 1st to September 30th, 2018. A questionnaire was developed to find out the reasons for the postponement for all hospital’s stakeholders (surgeons, Anesthetist, Nursing Officer) and they were further evaluated time series analysis of scheduling of Operation Theater for moving average technique. Results Total 958 surgeries were scheduled and 772 surgeries performed were and 186 surgeries were postponed with a postponement rate of 19.42% in the cardiac surgery department during the study period. Month-wise postponement Rate exponential smoothing of time series data shows the dynamic of operating suits. To test throughput Postponement rate was plotted the postponed surgeries and on regression analysis is in a perfect linear relationship.
Introduction: Postponement of elective scheduled operations results in inefficient use of operating room (OR) time on the day of surgery. Inconvenience to patients and families also caused by postponements. Moreover, day of surgery (DOS) postponement creates logistic and financial burden associated with extended hospital stay and repetitions of pre-operative preparations to an extend of repetition of investigations in some cases causing escalated costs, wastage of time and reduced income. Methodology: A cross sectional study was done in the operation theaters of a tertiary care hospital in which total ten operation theaters of General Surgery Data of scheduled, performed and postponed surgeries was collected from all the operation theater with effect from march 1st to September 30th 2018. A questionnaire was developed to find out the reasons for the postponement for all hospital’s stakeholders (Surgeons, Anesthetist, Nursing officer) and they were further evaluated Time series analysis of scheduling of Operation Theater for Moving average Technique. Results: total 2,466 surgeries were scheduled and 1,980 surgeries were performed and 486 surgeries were postponed in the general surgery department during the study period. Month wise postponement forecast was in accordance with the performed surgeries and on regression analysis postponed surgeries were in perfect linear relationship with the postponement Rate.
In the present paper the experimental study of
Nanotechnology involves high cost for Lab set-up and the
experimentation processes were also slow. Attempt has also
been made to discuss the contributions towards the societal
change in the present convergence of Nano-systems and
information technologies. one cannot rely on experimental
nanotechnology alone. As such, the Computer- simulations and
modeling are one of the foundations of computational
nanotechnology. The computer modeling and simulations
were also referred as computational experimentations. The
accuracy of such Computational nano-technology based
experiment generally depends on the accuracy of the following
things: Intermolecular interaction, Numerical models and
Simulation schemes used. The essence of nanotechnology is
therefore size and control because of the diversity of
applications the plural term nanotechnology is preferred by
some nevertheless they all share the common feature of control
at the nanometer scale the latter focusing on the observation
and study of phenomena at the nanometer scale. In this paper,
a brief study of Computer-Simulation techniques as well as
some Experimental result
Solar cell absorber Kesterite- type Cu2ZnSnS4 (CZTS) thin films have been prepared by Chemical Bath Deposition (CBD). UV–vis absorption spectra measurement indicated that the band gap of as-synthesized CZTS was about1.68 eV, which was near the optimum value for photovoltaic solar conversion in a single-band-gap device. The polycrystalline CZTS thin films with kieserite crystal structure have been obtained by XRD. The average of crystalline size of CZTS is 27 nm
Multilevel inverters play a crucial part in the
areas of high and medium voltage applications. Among the three
main multilevel inverters used, the capacitor clamped multilevel
inverter(CCMLI) has advantage with respect to voltage
redundancies. This work proposes a switching pattern to improve
the performance of chosen H-bridge type CCMLI over
conventional CCMLI. The PWM technique used in this work is
Phase Opposition Disposition PWM(PODPWM). The
performance of proposed H-bridge type CCMLI is verified
through MATLAB-Simulink based simulation. It has been
observed that the THD is low in chosen CCMLI compared to
conventional CCMLI.
- In this paper, we introduce a practical mechanism of
compressing a binary phase code modulation (BPCM) signal
according to Barker code with 13 chips in presence of additive
white Gaussian noise (AWGN) by using a digital matched filter
(DMF) corresponding to time domain convolution algorithm of
input and reference signals using Cyclone II EP2C70F896C6
FPGA from ALTERA placed on education and development
board DE2-70 with the following parameters: frequency of
BPCM signal fIF=2 MHz, sampling frequency
f MHz SAM 50
,pulse period
T 200s
, pulse width
S 13sc
, chip width
CH 1sc
, compressing factor
KCOM 13
, SNRinp=1/1, 1/2, 1/3, 1/4, 1/5 and processing
gain factor SNRout/SNRinp=11.14 dB.
The results of filter operation are evaluated using a digital
oscilloscope GDS-1052U to display the input and output signals
for different SNRinp.
Flooding is one of the most devastating natural
disasters in Nigeria. The impact of flooding on human activities
cannot be overemphasized. It can threaten human lives, their
property, environment and the economy. Different techniques
exist to manage and analyze the impact of flooding. Some of these
techniques have not been effective in management of flood
disaster. Remote sensing technique presents itself as an effective
and efficient means of managing flood disaster. In this study,
SPOT-10 image was used to perform land cover/ land use
classification of the study area. Advanced Space borne Thermal
Emission and Reflection Radiometer (ASTER) image of 2010 was
used to generate the Digital Elevation Model (DEM). The image
focal statistics were generated using the Spatial Analyst/
Neighborhood/Focal Statistics Tool in ArcMap. The contour map
was produced using the Spatial Analyst/ Surface/ Contour Tools.
The DEM generated from the focal statistics was reclassified into
different risk levels based on variation of elevation values. The
depression in the DEM was filled and used to create the flow
direction map. The flow accumulation map was produced using
the flow direction data as input image. The stream network and
watershed were equally generated and the stream vectorized. The
reclassified DEM, stream network and vectorized land cover
classes were integrated and used to analyze the impact of flood on
the classes. The result shows that 27.86% of the area studied will
be affected at very high risk flood level, 35.63% at high risk,
17.90% at moderate risk, 10.72% at low risk, and 7.89% at no
risk flood level. Built up area class will be mostly affected at very
high risk flood level while farmland will be affected at high risk
flood level. Oshoro, Imhekpeme, and Weppa communities will be
affected at very high risk flood inundation while Ivighe, Uneme,
Igoide and Iviari communities will be at risk at high risk flood
inundation level. It is recommended among others that buildings
that fall within the “Very High Risk” area should be identified
and occupants possibly relocated to other areas such as the “No
Risk” area.
Without water, humans cannot live. Since time began,
we have lived by the water and vast tracts of waterless land have
been abandoned as it is too difficult to inhabit. At any given
moment, the earth’s atmosphere contains 4,000 cubic miles of
water, which is just 0.000012% of the 344 million cubic miles of
water on earth. Nature maintains this ratio via evaporation and
condensation, irrespective of the activities of man.
There is a certain need for an alternative to solve the water
scarcity. Obtaining water from the atmosphere is nothing new -
since the beginning of time, nature’s continuous hydrologic cycle
of evaporation and condensation in the form of rain or snow has
been the sole source and means of regenerating wholesome water
for all forms of life on earth.
An effective method to generate water is by the separation of
moisture present in air by condensation. In this study, the water
present in air is condensed on the surface of a container and then
collected in an external jacket provided on the container.
Insulations are provided to optimize the inner temperature of the
container.
The method is although uncommon but has certain advantages
which make it a success. The process is economical and does not
require a lot of utilities. It also helps in further reducing the
carbon footprint.
In every moment of functioning the Li-Ion
battery must provide the power required by the user, to have a
long operating life and to and to provide high reliability in
operation. The methods for analysis and testing batteries are
ensuring that all these conditions imposed to the batteries are
met by being tested depending on their intended use.
The success rate of real estate project is
decreasing as there is large scale of project and participation of
entities. It is necessary to study the risk factors involved in the
project. This paper focused on types of risks involved in the
project, risk factors, risk management tools & techniques.
Identification of risk of the project in terms of the total cost of the
project has been divided under Technical, Financial, Sociopolitical
and Statutory cost centers. Large real estate projects
have to tackle the following issues: land acquisition, skilledlabour
shortage, non-availability of skilled project managers, and
mechanization of the construction process to cater to the growing
demands. Non- availability of supporting infrastructure, political
issues like instability of the government leading to regulatory
issues, social issues, marketing forms an important part in these
projects as this is a onetime investment and the purchase cycle is
long , long development period makes the same project be at
different points in the real estate value cycle.
- Security is a concept similar to being cautious
or alert against any danger. Network security is the condition of
being protected against any danger or loss. Thus safety plays a
important role in bank transactions where disclosure of any data
results in big loss. We can define networking as the combination
of two or more computers for the purpose of resource sharing.
Resources here include files, database, emails etc. It is the
protection of these resources from unauthorized users that
brought the development of network security. It is a measure
incorporated to protect data during their transmission and also
to ensure the transmitted is protected and authentic.
Security of online bank transactions here has been
improved by increasing the number of bits while establishing the
SSL connection as well as in RSA asymmetric key encryption
along with SHA1 used for digital signature to authenticate the
user
Background: Septoplasty is a common surgical
procedure performed by otolaryngologists for the correction of
deviated nasal septum. This surgery may be associated with
numerous complications. To minimize these complications,
otolaryngologists frequently pack both nasal cavities with
different types of nasal packing. Despite all its advantages,
nasal packing is also associated with some disadvantages. To
avoid these issues, many surgeons use suturing techniques to
obviate the need for packing after surgery.
Objective: To determine the efficacy and safety of trans-septal
suture technique in preventing complications and decreasing
morbidity after septoplasty in comparison with nasal packing.
Patients and methods: Prospective comparative study. This
study was conducted in the department of Otolaryngology -
Head and Neck Surgery, Rizgary Teaching Hospital - Erbil,
from the 6th of May 2014 to the 30th of November 2014.
A total of 60 patients aged 18-45 years, undergoing septoplasty,
were included in the study. Before surgery, patients were
randomly divided into two equal groups. Group (A) with transseptal
suture technique was compared with group (B) in which
nasal packing with Merocel was done. Postoperative morbidity
in terms of pain, bleeding, postnasal drip, sleep disturbance,
dysphagia, headache and epiphora along with postoperative
complications including septal hematoma, septal perforation,
crustation and synechiae formation were assessed over a follow
up period of four weeks.
Results: Out of 60 patients, 37 patients were males (61.7%)
and 23 patients were females (38.3%). Patients with nasal
packing had significantly more postoperative pain (P<0.05)><0.05). There was no significant difference between
the two groups with respect to nasal bleeding, septal
hematoma, septal perforation, crustation and synechiae
formation.
Conclusion: Septoplasty can be safely performed using transseptal
suturing technique without nasal packing.
The basic reason behind the need to
monitor water quality is to verify whether the examined
water quality is suitable for intended usage or not. This
study is conducted on Al -Shamiya al- sharqi drain in
Diwaniya city in Iraq to make valid assessment for the
level of parameters measured and to realize their effects
on irrigation. In order to assess the drainage water
quality for irrigation purposes with a high accuracy, the
Irrigation Water Quality Index (IWQI) will be examined
and upgraded (integrated with GIS) to make a
classification for drainage water. For this purpose, ten
samples of drainage water were taken from different ten
location of the stuay area. The collected samples were
analyzed chemically for different elements which affect
water quality for irrigation.These elements are :
Calcium(Ca+2), Sodium(Na+
), Magnesium(Mg+2),
Chloride( ), Potassium(K+
), Bicarbonate(HCO3),
Nitrate(NO3), Sulfate( , Phosphate( , Electrical
Conductivity(EC), Total Dissolved Solids (TDS), Total
Suspended Solids (TSS) and pH-values (PH). Sodium
Adsorption Ratio (SAR) and Sodium Content (Na%)
have been also calculated. Results suggest that, the use of
GIS and Water Quality Index (WQI) methods could
provide an extremely interesting as well as efficient tool
to water resource management. The results analysis of
(IWQI) maps confirms that: 52% of the drainage water
in study area falls within the "Low restriction" (LR) and
47%of study area has water with (Moderate
restriction)(MR),While 1% of drainage water in the
study area classified as (Sever restriction) (SR). So, the
drainage water should be used with the soil having high
permeability with some constraints imposed on types of
plant for specified tolerance of salts
The cable-hoisting method and rail cable-lifting
method are widely used in the construction of suspension bridge.
This paper takes a suspension bridge in Hunan as an example,
and expounds the two construction methods, and analyzes their
respective merits and disadvantages.
Baylis-Hillman reaction has been achieved on
different organic motifs but with completion times of three to
six days. Micellar medium of CTAB in water along with the
organic base DABCO has been used to effect the BaylisHillman
reaction on a steroidal nucleus of Withaferin-A for the
first time with different aromatic aldehydes within a day to
synthesize a library of BH adducts (W1a –W14a) and (W1bW14b)
as a mixture of two isomers and W15 as a single
compound. The isomers were separated on column and the
major components were chosen for bio-evaluation. Cytotoxic
activity of the synthesized compounds was screened against a
panel of four cancer cell lines Lung A-549, Breast MCF-7,
Colon HCT-116 and Leukemia THP-1 along with 5-florouracil
and Mitomycin-C as references. All the compounds exhibited
promising activity against screened cell lines and were found to
possess enhaunced activity than parent compound. BH adducts
with aromatic systems having methoxy and nitro groups were
found to be more active.
This paper presents the details on the
experimental investigation carried out to get the desired fresh
properties of the SCC. Tests were performed on various mixtures
to obtain the required SCC. In the present research work we
have replaced 15% of cement with class F fly ash. By varying the
quantity of water and sand the mortar mix was prepared. Later
varying percentage of coarse aggregate was added to the mortar
to obtain the desired SCC.
The batteries used in electric and hybrid vehicles
consists of several cells with voltages between 3.6V battery and
4.2 V in series or parallel combinations of configurations for
obtaining the necessary available voltages in the operation of a
hybrid electric vehicle. How malfunction of a single cell affects
the behavior of the entire battery pack, BMS main function is to
protect individual cells against over-discharge, overload or
overheating. This is done by correct balancing of the cells. In
addition BMS estimates the battery charge status
This project aims at using (PD-MCPWM) Phase
disposition multi carrier pulse width modulation technique to
reduce leakage current in a transformerless cascaded multilevel
inverter for PV systems. Advantages of transformerless PV
inverter topology is as follows, simple structure, low weight and
provides higher efficiency , but however this topology provides a
path for the leakage current to flow through the parasitic
capacitance formed between the PV module and the ground.
Modulation technique reduces leakage current with an added
advantage without adding any extra components.
Many people in Africa depend on water from
rivers and borehole, but purity of the drinking water from these
sources remains questionable. Mudzira River being the longest
River in a village called Vimtim located in Mubi North Local
government area in Adamawa State was studied in the months of
September to December, 2012 to ascertain the suitability of the
water for human consumption and other related uses. Five study
point: inlet (A, B), middle (C) and out let (D, E) were adopted for
monitoring the physico-chemical parameters using standard
procedures. The mean total temperature values were A (25.000C),
B (24.500C), C (25.500C), D (24.000C) and E (24.000C. Average P
H
values were A (8.00), B (7.87), C (8.20) D (8.37) and E (8.13). The
average conductivity values were A (73.90
1 cms
), B
(73.11
1 cms
), D (74.00
1 cms
) and E (73. 80
1 cms
). The
average total dissolves solid value of each sample were A (17.10),
B (17.10), C (20.00) D (21.64) and E (21.60.). The average
turbidity value of sample were A (47.00), B (47.00), C (50.00) D
(53.00) and E (50.00). Average total hardness value are A
(20.00mg/l), B (20.00mg/L) C (24.00mg/L), D (20.00mg/L) and E
(20.00mg/L). The average chloride content were A (12mg/L), B
(16mg/L), C (12 mg/L) D (16mg/L) and E (16mg/L). The average
calcium content were A (0.3mg/L) B (0.4mg/L), C (0.3mg/L), D
(0.3mg/L) and E (0.2mg/L). The average content of magnesium
were A (12mg/L), B (16mg/L), C (16Mg/L), D (12mg/L), E
(12mg/L). The lead content of River Mudzira water was
negligible. The mean coliform count were A (4), B (3), C (6), D
(7), and E (4).The values of the parameters studied were within
the WHO/NAFDAC recommended standards, excepts for total
coliform levels. In conclusion Vimtim residents consuming
untreated water from River Mudzira are potentially exposed to
possible acute, sub chronic or even chronic water borne diseases
like typhoid fever, dysentery, diarrhea etc.
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IMPROVEMENT OF SUPPLY CHAIN MANAGEMENT BY MATHEMATICAL PROGRAMMING APPROACH
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IMPROVEMENT OF SUPPLY CHAIN MANAGEMENT BY MATHEMATICAL PROGRAMMING APPROACH
R.K.VERMA1, K.M.MOEED2, K.G.SINHA3, KAPIL CHOPRA4
1Research scholar, Integral University
2Associate Professor, Integral University
3Assistant Professor SR Institute of Management and Technology
4Assistant Professor BNCET, Lucknow
Department of Mechanical Engineering
Abstract—this paper analyses the case of any production system by mathematical programming approach of a model for the existing or a new industry we can analyze the different aspects of manufacturing costs and then by using various techniques we can minimize the total cost from one end to another end so that the manufacturing cost decreases and profit increases.
Index Terms—supply chain management, productivity, mathematical programming approach. (key words)
I. INTRODUCTION
Mathematical programming is one of the best tool available for quantitative decision making. The general purpose of mathematical programming is to find out an optimal solution for available allocation of limited resources to perform competing activities. The optimality may be defined with respect to important performance evaluation criteria, such as cost, time, and profit. Mathematical programming uses a compact mathematical model for describing the problem of concern. The solution is searched among all feasible alternatives for finding out optimal solution. The search is executed in an intelligent manner, allowing the evaluation of problems with a large number of feasible solutions for decision making.
Mathematical programming finds many applications in supply chain management, at all decision-making levels. It is also widely used for supply chain configuration purposes. Out of several classes of mathematical programming models, mixed-integer programming models are used most frequently. Other types of models, such as stochastic and multi-objective programming models, are also emerging to handle more complex supply chain configuration problems. Although these models are often more appropriate, computational complexity remains an important issue in the application of mathematical programming models for supply chain configuration.
This investigation is aimed to describe application of mathematical programming for supply chain configuration. It is followed by a description of generic supply chain configuration mixed integer programming model. Computational approaches for solving problems of large size are also discussed along with typical modifications of the generic model, especially, concerning global factors.
II. FUNDAMENTALS
Mathematical programming models are used to optimize decisions concerning execution of certain activities subject to resource constraints. Mathematical programming models have a well-defined structure. They consist of mathematical expressions representing objective function and constraints. The expressions involve parameters and decision variables. The parameters are input data, while the decision variables represent the optimization outcome. The objective function represents modelling objectives and makes some decisions more preferable than others. The constraints limit the values that decision variables can assume.
The main advantages of mathematical programming models are that they provide a relatively simple and compact approximation of complex decision-making problems, an ability to efficiently find an optimal set of decisions among a large number of alternatives, and supporting analysis of decisions made. Specifically, in the supply chain configuration problem context, mathematical programming models are excellent for modelling its special aspects.
There are also some important limitations. Mathematical programming models have a lower level of validity compared to some other types of models particularly, simulation. In the supply chain configuration context, mathematical programming models have difficulties representing the dynamic and stochastic
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aspects of the problem. Additionally, solving of many supply chain configuration problems is computationally challenging.
Following the supply chain configuration scope, mathematical programming models are suited to answer the following supply chain configuration questions:
1. Which partners to choose?
2. Where to locate supply chain facilities?
3. How to allocate production and capacity?
4. Which transportation mode to choose?
5. How do specific parameters influence supply chain performance?
The most common type of mathematical programming models is linear programming models. These models have all constraints and the objective function expressed as a linear function in variables. However, many real- life problems cannot be represented as linear functions. A typical example is representation of decisions concerning the opening of supply chain facilities. These decisions assume values equal either to 0 or 1. Integer programming models are used to model such problems. Their computational tractability is lower than that of linear programming models. Non-linear expressions are often required to represent inventory and transportation- related issues of supply chain. That results in nonlinear programming models, which have high computational complexity.
Given the heterogeneous nature of supply chains, optimization often cannot be performed with respect to a single objective. Multi-objective programming models seek an optimal solution with regard to multiple objectives. These models rely on judgmental assessment of the relative importance of each objective.
Generally, as one moves from linear programming to more complex mathematical programming models, the validity of representing real-world problems is improved at the expense of model development and solving simplicity. Specialized model-solving algorithms are often required to solve complex problems.
Mathematical programming modelling systems (Greenberg 1993)[1] have been developed for elaboration, solving, and analysis of mathematical programming models. These include GAMS, ILOG, and LINGO, to mention a few. These systems provide a means for data handling, model composition using special-purpose mathematical programming languages, and model solving. From the perspective of integrated decision modelling frameworks, these systems can be easily integrated into the decision support system to provide optimization functionality. The integration is achieved by using some types of application programming interfaces. Data structures used, generally, are system specific. Therefore, these need to be mapped to data sources using information modelling.
The role of mathematical programming systems in the overall strategic decision-making system has been described by Shapiro (2000)[2]. The described optimization modelling system includes links from the mathematical programming system to a decision-making database and other data sources, as well as advanced tools for conducting analysis. Generation of optimization models from data stored in the decision-making database is considered.
III. MIXED-INTEGER PROGRAMMING MODELS
Traditional supply chain configuration models are mixed integer programming models. This section starts with presenting a generic model formulation which includes only the most frequently used decision variables, parameters, and constraints, as identified during construction of the generic supply chain configuration data model. The presentation of the generic model is followed by an overview of most frequently used modifications.
A. GENERIC FORMULATION
The following sub-sections define notation used to specify the generic supply chain configuration optimization model, and present the object function and constraints of this model.
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B. OBJECTIVE FUNCTION
The objective function minimizes the total cost (TC). As indicated in the previous chapter, minimization of the total cost is considered more often than profit maximization. The total cost consists of production cost, materials purchasing and transportation cost, products transportation cost from plants to distribution centres, product handling and transportation cost from distribution centres to customers, and fixed costs for opening and operating plants and distribution centres.
Equation 1
C. CONSTRAINTS
Equation-2
Equation-3
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Equation-4
Equation-5
Equation-6
Equation-7
Equation-8
Equation (2) enforces the balance between products sold and demand. The balance between incoming and outgoing flows at distribution centres is defined by Equation (3). The balance between products produced and products shipped to distribution centres is enforced by Equation (4). Equation (5) restricts capacity availability. Availability of materials to produce products is checked by Equation (6) and Equation (7) states that product flows are allowed only through open distribution centres.
D. COMMENTS
The model does not explicitly include parameters characterizing a spatial location of supply chain units. Alternative locations for a particular supply chain unit are evaluated by allowing for several units with equal characteristics but different transportation costs, which characterize the location of the unit.
There are two factors affecting the model composition:
1) The broker and power structure
2) The initial state of the network.
Depending upon the organizational and power structure of the supply chain and a decision maker's point of view (i.e., interests of the whole supply chain vs. interests of the dominant member), some of the cost parameters are set to zero because the total cost the broker is concerned about is not affected by these cost parameters, even if these are relevant to the overall supply chain modelling (e.g., a final assembler pays only purchasing costs for components and is not concerned about processing costs at the supply level). The initial state of the network determines whether some of the decision variables already do not have a fixed value. For instance, the location of several assembly plants is already fixed and cannot be changed. Similarly, long- term purchasing contracts with some suppliers can set definite limits on purchasing volume from these suppliers.
E. MODIFICATIONS
The generic formulation obviously needs to be adjusted to include factors relevant to a particular decision-making problem. Analysis suggests that the most frequently considered factors are international factors, inventory, capacity treatment, transportation, and supply chain management policies.
1) International Factors
Given that many supply chains involve partners from different countries, international factors need to be addressed in supply chain configuration. This problem is of particular importance for large multi-national companies manufacturing and selling their products world-wide. Mathematical programming models consider quantitative factors, while there are also numerous qualitative factors influencing international decision making. Goetschalckx et al. (2002)[3] provide a summary table on works considering international factors. This summary indicates that taxes and duties are the most often considered international factors. In a similar work by Meixell and Gargeya (2005)[4], the most frequently considered international factors besides tariffs and duties are currency exchange rates and corporate income taxes. However, many of the models surveyed use already fixed supply chain configuration. Kouvelis et al. (2004)[5] presents an extensive sensitivity analysis of the impact of international factors on supply chain configuration.
2) Capacity Treatment
A majority of models have some sort of flow intensity and transformation capacity limits as a parameter. A parameter characterizing capacity consumption per unit processed or handled is also widely used. Sabri and Beamon (2000)[6] and Yan et al. (2003) use product specific capacity, while Pirkul and Jayaraman (1998)[7] the flexible capacity. Bhutta et al. (2003)[8] is one of the few papers using capacity as a decision variable. This paper allows either increasing or decreasing capacity at the facility.
3) Transportation
The most common way of representing transportation is considering just one mode and including variable costs per unit shipped between supply chain units. However, transportation-related issues generally are much more complex and several models attempt to account for this complexity. Non-linear dependence of transportation costs according to quantity shipped is modelled by Tsiakis et al. (2001)[9]. This dependence is represented by a piece-wise linear function. Transportation costs are not calculated for individual products but for families of
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similar products, thus reducing the model complexity. Syam (2002)[10] include a fixed charge per unit using a particular link to transfer products between units. Ross et al. (1998)[11] has transportation as one of the key specific problems of supply chain configuration decision making and the model represents individual vehicles with their characteristics. Arntzen et al. (1995) and Syam (2002[12] represent transportation capacity by limiting the total weight of products shipped. The shipment weight-based representation of shipments costs and transportation capacity is often used in applied studies.
Detailed representation of transportation is a feature of many commercial supply chain network design models. These are based on detailed databases of distance and freight rates. These data as well as transportation cost structure and shipment planning are described by Bowersox et al. (2002)[13].
IV. CASE STUDY
A. SCOOTERS INDIA LIMITED
1) GENERIC FORMULATION
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TC = (0.33+933+0.16+7+0)
TC = Rs.940.49/gear
TC = (0.33+792+0.16+7+0)
TC = Rs.799.49/gear
B. OMAX AUTOS LIMITED
1) GENERIC FORMULATION
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TC = (0.316+.405+.004+.032+237+2)
TC = Rs.339.757/product
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TC= (0.24+.440.002857+0.026+255+2))
TC = Rs.257.7094/product
V. CONCLUSION
The investigation can be concluded in following words
We can compare the cost between two or three products.
We can optimise the production in terms of cost as well as in terms of production system.
We can forecast the cost of finished good at the starting of production.
References
[1]. Greenberg HJ (1993) Enhancements in of ANALYZE: a computer-assisted analysis system for linear programming. ACM Transactions on Mathematical Software 19:223-256Software 19:223-256
[2]. Shapiro JF (2000) Modeling the Supply Chain. Duxbury Press, New York. Avriel M, Golany, B (1996) Mathematical Programming for Industrial Engineers.
[3]. Goetschalckx M, Vidal C, Dogan K (2002) Modeling and design of global logistics systems: A review of integrated strategic and tactical models and design algorithms. European Journal of Operational Research 143:1-18
[4]. Meixell MJ, Gargeya VB (2005) Global supply chain design: A literature review and critique. Transport Research E-Logistics 41:531-550
[5]. Kouvelis P, Rosenblatt MJ, Munson CL (2004) A mathematical programming model for global plant location problems: Analysis and insights. IIE Transactions 36:127-144
[6]. Sabri EH, Beamon BM (2000) A multi-objective approach to simultaneous strategic and operational planning in supply chain design. Omega 28:581-598
[7]. Pirkul H, Jayaraman V (1998) A multi-commodity, multi-plant, capacitated facility location problem: Formulation and efficient heuristic solution. Computers& Operations Research 25:869-878
[8]. Bhutta KS, Huq F, Frazier G, Mohamed Z (2003) An integrated location, production, distribution and
investment model for a multinational corporation. International Journal of Production Economics 86:201– 216
[9]. Tsiakis P, Shah N, Pantelides CC (2001) Design of multi-echelon supply chain networks under demand uncertainty. Industrial Engineering & Chemistry Research 40:3585-3604
[10]. Syam SS (2002) A model and methodologies for the location problem with logistical components. Computers & Operations Research 29:1173-1193
[11]. Ross A, Venkataramanan MA, Ernstberger KW (1998) Reconfiguring the supply network using current performance data. Decision Science 29:707-728
[12]. Arntzen BC, Brown GG, Harrison TP and Trafton LL (1995) Global supply chain management at Digital Equipment Corporation. Interfaces 25:69-93
[13]. Bowersox DJ, Closs DJ, Cooper MB (2002) Supply chain logistics management. McGraw-Hill, Boston.