This document summarizes research on using a genetic algorithm to solve a parallel line and machine job scheduling problem. The objective is to minimize the makespan (completion time) of all jobs. A genetic algorithm is applied that represents possible job schedules as chromosomes. The fitness function evaluates schedules based on makespan. Genetic operators like crossover and mutation create new schedules from existing ones. The algorithm was tested on sample job data using a MATLAB program. Results showed the genetic algorithm approach can find optimal job allocations and schedules that minimize makespan for parallel line scheduling problems.
An efficient simulated annealing algorithm for a No-Wait Two Stage Flexible F...ijait
In this paper, no wait two stage flexible flow shop scheduling problem (FFSSP) is solved using two metaheuristic algorithms. This problem with minimum makespan performance measure is NP-Hard. The proposed algorithms are Simulated Annealing and Genetic Algorithm. The results are analyzed in terms of Relative Percentage Deviation of Makespan. The performance of the proposed algorithms are studied and compared with that of MDA algorithm. For this propose a number of problems in different sizes are solved. The results of the studies proposes the effective algorithm. This is followed by describing the
outline of the study, concluding remarks and suggesting potential areas for further researches
Planning and Scheduling of a Corrugated Cardboard Manufacturing Process in IoTijtsrd
The automation has revolutionized the traditional product development scheme by using advanced design and manufacturing technologies such as computer aided design, process planning, and scheduling. However, research in this field was still based mostly on experimentation, as most manufacturing companies did not use simulation techniques in the implementation of their manufacturing planning and scheduling process. In order to address this problem, software developers have put simulation software tools in the market such as Enterprise Resource Planning ERP , Advanced Planning and Scheduling APS , and Risk based Planning and Scheduling RPS systems. In this paper, a methodology to model high degree of accuracy for the production floor, the planning and scheduling of corrugated cardboard manufacturing process through RPS simulation in Internet of Things IoT environment is established. The RPS model is able to generate a deterministic schedule without randomness, create a risk analysis of the planning and scheduling, and handle the uncertainty. Bruno Kemen | Sarhan M. Musa "Planning and Scheduling of a Corrugated Cardboard Manufacturing Process in IoT" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, URL: https://www.ijtsrd.com/papers/ijtsrd37965.pdf Paper URL : https://www.ijtsrd.com/engineering/electrical-engineering/37965/planning-and-scheduling-of-a-corrugated-cardboard-manufacturing-process-in-iot/bruno-kemen
A M ULTI -O BJECTIVE B ASED E VOLUTIONARY A LGORITHM AND S OCIAL N ETWOR...IJCI JOURNAL
In this paper, a multi-objective based NSGA-II algo
rithm is proposed for dynamic job-shop scheduling
problem (DJSP) with random job arrivals and machine
breakdowns. In DJSP schedules are usually
inevitable due to various unexpected disruptions. T
o handle this problem, it is necessary to select
appropriate key machines at the beginning of the si
mulation instead of random selection. Thus, this pa
per
seeks to address on approach called social network
analysis method to identify the key machines of the
addressed DJSP. With identified key machines, the e
ffectiveness and stability of scheduling i.e., make
span
and starting time deviations of the computational c
omplex NP-hard problem has been solved with propose
d
multi-objective based hybrid NSGA-ll algorithm. Sev
eral experiments studies have been conducted and
comparisons have been made to demonstrate the effic
iency of the proposed approach with classical multi
-
objective based NSGA-II algorithm. The experimental
results illustrate that the proposed method is ver
y
effective in various shop floor conditions
Design and Implementation of a Multi-Agent System for the Job Shop Scheduling...CSCJournals
Job shop scheduling is one of the strongly NP-complete combinatorial optimization problems. Developing effective search methods is always an important and valuable work. Meta-heuristic methods such as genetic algorithms are widely applied to find optimal or near-optimal solutions for the job shop scheduling problem. Parallelizing genetic algorithms is one of the best approaches that can be used to enhance the performance of these algorithms. In this paper, we propose an agent-based parallel genetic algorithm for job shop scheduling problem. In our approach, initial population is created in an agent-based parallel way then an agent-based method is used to parallelize genetic algorithm. Experimental results showed that the proposed approach enhances the performance.
Scheduling By Using Fuzzy Logic in ManufacturingIJERA Editor
This paper represents the scheduling process in furniture manufacturing unit. It gives the fuzzy logic application in flexible manufacturing system. Flexible manufacturing systems are production system in furniture manufacturing unit. FMS consist of same multipurpose numerically controlled machines. Here in this project the scheduling has been done in FMS by using fuzzy logic tool in Matlab software. The fuzzy logic based scheduling model in this paper will deals with the job and best alternative route selection with multi-criteria of machine. Here two criteria for job and sequencing and routing with rules. This model is applicable to the scheduling of any manufacturing industry.
Balancing the line by using heuristic method based on cpm in salbp –a case studyeSAT Journals
Abstract
In mass production systems, line balancing plays a great role, but this is not easy even if it is a simple straight line. So, in order to
solve these problems Heuristic methods are very much desirable. It is also found that Heuristic methods play a great role in the
formation of metaheuristic methods.Therefore it is very much important to use more efficient heuristic methods. In this research
paper we presents a heuristic method that is based on critical path method for simple assembly line balancing. This research is
mainly concerned with objectives of minimizing the number of workstations, improvement of smoothness index, mean absolute
deviation (MAD) and increasing line efficiency.
Keywords-Heuristic methods,Assembly line balancing problem, Critical path method, Simple assembly line balancing.
An efficient simulated annealing algorithm for a No-Wait Two Stage Flexible F...ijait
In this paper, no wait two stage flexible flow shop scheduling problem (FFSSP) is solved using two metaheuristic algorithms. This problem with minimum makespan performance measure is NP-Hard. The proposed algorithms are Simulated Annealing and Genetic Algorithm. The results are analyzed in terms of Relative Percentage Deviation of Makespan. The performance of the proposed algorithms are studied and compared with that of MDA algorithm. For this propose a number of problems in different sizes are solved. The results of the studies proposes the effective algorithm. This is followed by describing the
outline of the study, concluding remarks and suggesting potential areas for further researches
Planning and Scheduling of a Corrugated Cardboard Manufacturing Process in IoTijtsrd
The automation has revolutionized the traditional product development scheme by using advanced design and manufacturing technologies such as computer aided design, process planning, and scheduling. However, research in this field was still based mostly on experimentation, as most manufacturing companies did not use simulation techniques in the implementation of their manufacturing planning and scheduling process. In order to address this problem, software developers have put simulation software tools in the market such as Enterprise Resource Planning ERP , Advanced Planning and Scheduling APS , and Risk based Planning and Scheduling RPS systems. In this paper, a methodology to model high degree of accuracy for the production floor, the planning and scheduling of corrugated cardboard manufacturing process through RPS simulation in Internet of Things IoT environment is established. The RPS model is able to generate a deterministic schedule without randomness, create a risk analysis of the planning and scheduling, and handle the uncertainty. Bruno Kemen | Sarhan M. Musa "Planning and Scheduling of a Corrugated Cardboard Manufacturing Process in IoT" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, URL: https://www.ijtsrd.com/papers/ijtsrd37965.pdf Paper URL : https://www.ijtsrd.com/engineering/electrical-engineering/37965/planning-and-scheduling-of-a-corrugated-cardboard-manufacturing-process-in-iot/bruno-kemen
A M ULTI -O BJECTIVE B ASED E VOLUTIONARY A LGORITHM AND S OCIAL N ETWOR...IJCI JOURNAL
In this paper, a multi-objective based NSGA-II algo
rithm is proposed for dynamic job-shop scheduling
problem (DJSP) with random job arrivals and machine
breakdowns. In DJSP schedules are usually
inevitable due to various unexpected disruptions. T
o handle this problem, it is necessary to select
appropriate key machines at the beginning of the si
mulation instead of random selection. Thus, this pa
per
seeks to address on approach called social network
analysis method to identify the key machines of the
addressed DJSP. With identified key machines, the e
ffectiveness and stability of scheduling i.e., make
span
and starting time deviations of the computational c
omplex NP-hard problem has been solved with propose
d
multi-objective based hybrid NSGA-ll algorithm. Sev
eral experiments studies have been conducted and
comparisons have been made to demonstrate the effic
iency of the proposed approach with classical multi
-
objective based NSGA-II algorithm. The experimental
results illustrate that the proposed method is ver
y
effective in various shop floor conditions
Design and Implementation of a Multi-Agent System for the Job Shop Scheduling...CSCJournals
Job shop scheduling is one of the strongly NP-complete combinatorial optimization problems. Developing effective search methods is always an important and valuable work. Meta-heuristic methods such as genetic algorithms are widely applied to find optimal or near-optimal solutions for the job shop scheduling problem. Parallelizing genetic algorithms is one of the best approaches that can be used to enhance the performance of these algorithms. In this paper, we propose an agent-based parallel genetic algorithm for job shop scheduling problem. In our approach, initial population is created in an agent-based parallel way then an agent-based method is used to parallelize genetic algorithm. Experimental results showed that the proposed approach enhances the performance.
Scheduling By Using Fuzzy Logic in ManufacturingIJERA Editor
This paper represents the scheduling process in furniture manufacturing unit. It gives the fuzzy logic application in flexible manufacturing system. Flexible manufacturing systems are production system in furniture manufacturing unit. FMS consist of same multipurpose numerically controlled machines. Here in this project the scheduling has been done in FMS by using fuzzy logic tool in Matlab software. The fuzzy logic based scheduling model in this paper will deals with the job and best alternative route selection with multi-criteria of machine. Here two criteria for job and sequencing and routing with rules. This model is applicable to the scheduling of any manufacturing industry.
Balancing the line by using heuristic method based on cpm in salbp –a case studyeSAT Journals
Abstract
In mass production systems, line balancing plays a great role, but this is not easy even if it is a simple straight line. So, in order to
solve these problems Heuristic methods are very much desirable. It is also found that Heuristic methods play a great role in the
formation of metaheuristic methods.Therefore it is very much important to use more efficient heuristic methods. In this research
paper we presents a heuristic method that is based on critical path method for simple assembly line balancing. This research is
mainly concerned with objectives of minimizing the number of workstations, improvement of smoothness index, mean absolute
deviation (MAD) and increasing line efficiency.
Keywords-Heuristic methods,Assembly line balancing problem, Critical path method, Simple assembly line balancing.
A Simulation Based Approach for Studying the Effect of Buffers on the Perform...inventionjournals
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
A case study on Machine scheduling and sequencing using Meta heuristicsIJERA Editor
Modern manufacturing systems are constantly increasing in complexity and become more agile in nature such
system has become more crucial to check feasibility of machine scheduling and sequencing because effective
scheduling and sequencing can yield increase in productivity due to maximum utilization of available resources
but when number of machine increases traditional scheduling methods e.g. Johnson‟s ,rule is becomes in
effective Due to the limitations involved in exhaustive enumeration, for such problems meta-heuristics has
become greater choice for solving NP hard problems because of their multi solution and strong neighbourhood
search capability in a reasonable time.
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.
AN EFFICIENT HEURISTIC ALGORITHM FOR FLEXIBLE JOB SHOP SCHEDULING WITH MAINTE...mathsjournal
This paper deals with the flexible job shop scheduling problem with the preventive maintenance constraints where the objectives are to minimize the overall completion time (makespan), the total workload of machines and
the workload of the most loaded machine. A fast heuristic algorithm based on a constructive procedure is developed to solve the problem in very short time. The algorithm is tested on the benchmark instances from the
literature in order to evaluate its performance. Computational results show that, the proposed heuristic method is computationally efficient and promising for practical problems.
OPS 571 Effective Communication - snaptutorial.comdonaldzs45
For more classes visit
www.snaptutorial.com
Which of the following is a measure of operations and supply management efficiency used by Wall Street?
Current ratio
Receivable turnover
Application of Industrial Engineering to increase the productivity of an E-Ri...ijtsrd
Productivity improvement is an important issue in small-scale industry. The profit earning of this industry largely depends on productivity improvement. This study shows the way of finding gap of production process and operations. By implementing work study and method study and established new effective process for particular operation, we have to able to increase productivity. Especially this study shows the improvement of productivity in assembly area of E-rickshaw manufacturing industry. The line balancing is the key point to increase productivity to particular products. After line balancing and critical analysis the work content was reduced by 9 minutes. Our proposed method helps to increase productivity to 19.97% with reduction of work content and line balancing. Harshna Gupta | Gaurav Chaudhary | Krishna Mohan Singh | Devendra Kumar | Ashish Malik"Application of Industrial Engineering to increase the productivity of an E-Rickshaw factory" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: http://www.ijtsrd.com/papers/ijtsrd12969.pdf http://www.ijtsrd.com/engineering/industrial-engineering/12969/application-of-industrial-engineering-to-increase-the-productivity-of-an-e-rickshaw-factory/harshna-gupta
A case study on Machine scheduling and sequencing using Meta heuristicsIJERA Editor
Modern manufacturing systems are constantly increasing in complexity and become more agile in nature such
system has become more crucial to check feasibility of machine scheduling and sequencing because effective
scheduling and sequencing can yield increase in productivity due to maximum utilization of available resources
but when number of machine increases traditional scheduling methods e.g. Johnson‟s ,rule is becomes in
effective Due to the limitations involved in exhaustive enumeration, for such problems meta-heuristics has
become greater choice for solving NP hard problems because of their multi solution and strong neighbourhood
search capability in a reasonable time.
Job Shop Scheduling Using Mixed Integer ProgrammingIJMERJOURNAL
ABSTRACT: In this study, four different models in terms of mixed integer programming (MIP) are formulated for fourdifferent objectives. The first model objective is to minimizethemaximum finishing time (Makespan) without considering the products’ due dates, while the second model is formulated to minimize the makespan considering the due dates for all the products, the third model is to minimize the total earliness time, and the fourth one is to minimize the total lateness time. The proposed models are solved, and their computational performance levels are compared based on parameters such as makespan, machine utilization, and time efficiency. The results are discussed to determine the best suitable formulation
An Efficient Heuristic Algorithm for Flexible Job Shop Scheduling with Mainte...mathsjournal
This paper deals with the flexible job shop scheduling problem with the preventive maintenance constraints where the objectives are to minimize the overall completion time (makespan), the total workload of machines and the workload of the most loaded machine. A fast heuristic algorithm based on a constructive procedure is developed to solve the problem in very short time. The algorithm is tested on the benchmark instances from the literature in order to evaluate its performance. Computational results show that, the proposed heuristic method is computationally efficient and promising for practical problems.
A Simulation Based Approach for Studying the Effect of Buffers on the Perform...inventionjournals
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
A case study on Machine scheduling and sequencing using Meta heuristicsIJERA Editor
Modern manufacturing systems are constantly increasing in complexity and become more agile in nature such
system has become more crucial to check feasibility of machine scheduling and sequencing because effective
scheduling and sequencing can yield increase in productivity due to maximum utilization of available resources
but when number of machine increases traditional scheduling methods e.g. Johnson‟s ,rule is becomes in
effective Due to the limitations involved in exhaustive enumeration, for such problems meta-heuristics has
become greater choice for solving NP hard problems because of their multi solution and strong neighbourhood
search capability in a reasonable time.
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.
AN EFFICIENT HEURISTIC ALGORITHM FOR FLEXIBLE JOB SHOP SCHEDULING WITH MAINTE...mathsjournal
This paper deals with the flexible job shop scheduling problem with the preventive maintenance constraints where the objectives are to minimize the overall completion time (makespan), the total workload of machines and
the workload of the most loaded machine. A fast heuristic algorithm based on a constructive procedure is developed to solve the problem in very short time. The algorithm is tested on the benchmark instances from the
literature in order to evaluate its performance. Computational results show that, the proposed heuristic method is computationally efficient and promising for practical problems.
OPS 571 Effective Communication - snaptutorial.comdonaldzs45
For more classes visit
www.snaptutorial.com
Which of the following is a measure of operations and supply management efficiency used by Wall Street?
Current ratio
Receivable turnover
Application of Industrial Engineering to increase the productivity of an E-Ri...ijtsrd
Productivity improvement is an important issue in small-scale industry. The profit earning of this industry largely depends on productivity improvement. This study shows the way of finding gap of production process and operations. By implementing work study and method study and established new effective process for particular operation, we have to able to increase productivity. Especially this study shows the improvement of productivity in assembly area of E-rickshaw manufacturing industry. The line balancing is the key point to increase productivity to particular products. After line balancing and critical analysis the work content was reduced by 9 minutes. Our proposed method helps to increase productivity to 19.97% with reduction of work content and line balancing. Harshna Gupta | Gaurav Chaudhary | Krishna Mohan Singh | Devendra Kumar | Ashish Malik"Application of Industrial Engineering to increase the productivity of an E-Rickshaw factory" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: http://www.ijtsrd.com/papers/ijtsrd12969.pdf http://www.ijtsrd.com/engineering/industrial-engineering/12969/application-of-industrial-engineering-to-increase-the-productivity-of-an-e-rickshaw-factory/harshna-gupta
A case study on Machine scheduling and sequencing using Meta heuristicsIJERA Editor
Modern manufacturing systems are constantly increasing in complexity and become more agile in nature such
system has become more crucial to check feasibility of machine scheduling and sequencing because effective
scheduling and sequencing can yield increase in productivity due to maximum utilization of available resources
but when number of machine increases traditional scheduling methods e.g. Johnson‟s ,rule is becomes in
effective Due to the limitations involved in exhaustive enumeration, for such problems meta-heuristics has
become greater choice for solving NP hard problems because of their multi solution and strong neighbourhood
search capability in a reasonable time.
Job Shop Scheduling Using Mixed Integer ProgrammingIJMERJOURNAL
ABSTRACT: In this study, four different models in terms of mixed integer programming (MIP) are formulated for fourdifferent objectives. The first model objective is to minimizethemaximum finishing time (Makespan) without considering the products’ due dates, while the second model is formulated to minimize the makespan considering the due dates for all the products, the third model is to minimize the total earliness time, and the fourth one is to minimize the total lateness time. The proposed models are solved, and their computational performance levels are compared based on parameters such as makespan, machine utilization, and time efficiency. The results are discussed to determine the best suitable formulation
An Efficient Heuristic Algorithm for Flexible Job Shop Scheduling with Mainte...mathsjournal
This paper deals with the flexible job shop scheduling problem with the preventive maintenance constraints where the objectives are to minimize the overall completion time (makespan), the total workload of machines and the workload of the most loaded machine. A fast heuristic algorithm based on a constructive procedure is developed to solve the problem in very short time. The algorithm is tested on the benchmark instances from the literature in order to evaluate its performance. Computational results show that, the proposed heuristic method is computationally efficient and promising for practical problems.
Job-shop manufacturing environment requires planning of schedules for the systems of low-volume having numerous variations. For a job-shop scheduling, ‘k’ number of operations and ‘n’ number of jobs on ‘m’ number of machines processed through an assured objective function to be minimized (makespan). This paper presents a capable genetic algorithm for the job-shop scheduling problems among operating parameters such as random population generation with a population size of 50, operation based chromosome structure, tournament selection as selection scheme, 2-point random crossover with probability 80%, 2-point mutation with probability 20%, elitism, repairing of chromosomes and no. of iteration is 1000. An algorithm is programmed for job shop scheduling problem using MATLAB 2009 a 7.8. The proposed genetic algorithm with certain operating parameters is applied to the two case studies taken from literature. The results also show that genetic algorithm is the best optimization technique for solving the scheduling problems of job shop manufacturing systems evolving shortest processing time and transportation time due to its implications to more practical and integrated problems.
A Hybrid Evolutionary Optimization Model for Solving Job Shop Scheduling Prob...iosrjce
The heuristic optimization techniques were commonly used in solving several optimization
problems. The present work aims to develop a hybrid algorithm to solve the scheduling optimization problem of
JSSP. There are different variants of these algorithms that were addressed in several previous works. The
impacts of these two kinds (Genetic Algorithm (GA) and Simulated Annealing (SA) based optimization model)
of initial condition on the performance of these two algorithms were studied using the convergence curve and
the achieved makespan. Even though genetic algorithm performed better than other evolutionary algorithms, it
has some weakness. During running GA, sometimes, it will produce same result without any improvement. SA
has a mechanism to overcome from that situation. During SA, if same result will be repeated, then it is rapidly
changing the change in temperature variable and re-initiates another random search. By using this feature of
SA, it has been implemented a hybrid based evolutionary model for solving JSSP by improving GA.
Comparison has been made with the performance of the proposed SA-GA-Hybrid model with GA as well as SA.
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology.
An efficient simulated annealing algorithm for a No-Wait Two Stage Flexible F...ijait
In this paper, no wait two stage flexible flow shop scheduling problem (FFSSP) is solved using two metaheuristic algorithms. This problem with minimum makespan performance measure is NP-Hard. The proposed algorithms are Simulated Annealing and Genetic Algorithm. The results are analyzed in terms of Relative Percentage Deviation of Makespan. The performance of the proposed algorithms are studied and compared with that of MDA algorithm. For this propose a number of problems in different sizes are solved. The results of the studies proposes the effective algorithm. This is followed by describing the outline of the study, concluding remarks and suggesting potential areas for further researches
In industries, the completion time of job problems in the manufacturing unit has risen significantly. In several types of current study, the job's completion time, or makespan, is reduced by taking straight paths, which is time-consuming. In this paper, we used an Improved Ant Colony Optimization and Tabu Search (ACOTS) algorithm to solve this problem by precisely defining the fault occurrence location in order to rollback. We have used a short-term memory-based rollback recovery strategy to minimise the job's completion time by rolling back to its own short-term memory. The recent movements in Tabu quest are visited using short term memory. As compared to the ACO algorithm, our proposed ACOTS-Cmax solution is more efficient and takes less time to complete.
Artificial Neural Networks can achieve high degree of computation rates by
employing a massive number of simple processing elements with a high degree of
connectivity between elements. In this paper an attempt is made to present a Constraint
Satisfaction Adaptive Neural Network (CSANN) to solve the generalized job-shop
scheduling problem and it shows how to map a difficult constraint satisfaction job-shop
scheduling problem onto a simple neural net, where the number of neural processors equals
the number of operations, and the number of interconnections grows linearly with the total
number of operations. The proposed neural network can be easily constructed and can adjust
its weights of connections based on the sequence and resource constraints of the job-shop
scheduling problem during its processing. Simulation studies have shown that the proposed
neural network produces better solutions to job-shop scheduling problem.
The Prediction of Time Trending Techniques in ManufacuturingGan Chun Chet
The papers write on time trending techniques to measure minimim limit of a machine setup activity (machine performance).
Data driven, applicable for most manufacturers, to know time reduction/prediction.
Hybridizing guided genetic algorithm and single-based metaheuristics to solve...IAESIJAI
This paper focuses on solving unrelated parallel machine scheduling with
resource constraints (UPMR). There are j jobs, and each job needs to be
processed on one of the machines aim at minimizing the makespan. Besides
the dependence of the machine, the processing time of any job depends on the
usage of a rare renewable resource. A certain number of those resources (Rmax)
can be disseminated to jobs for the purpose of processing them at any time,
and each job j needs units of resources (rjm) when processing in machine m.
When more resources are assigned to a job, the job processing time minimizes.
However, the number of resources available is limited, and this makes the
problem difficult to solve for a good quality solution. Genetic algorithm shows
promising results in solving UPMR. However, genetic algorithm suffers from
premature convergence, which could hinder the resulting quality. Therefore,
the work hybridizes guided genetic algorithm (GGA) with a single-based
metaheuristics (SBHs) to handle the premature convergence in the genetic
algorithm with the aim to escape from the local optima and improve the
solution quality further. The single-based metaheuristics replaces the mutation
in the genetic algorithm. The evaluation of the algorithm performance was
conducted through extensive experiments.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.