The production cycle employs unit operations which are normally group in two functions: rock breakage and materials handling. Breakage includes a variety of mechanism but in rock is usually accomplished by drilling and blasting.
This document discusses writing exponential and power functions given points on their graphs. It provides examples of writing exponential functions that pass through the points (-1, 0.0625) and (2, 32) and through the points (2, 9) and (4, 20.25). It also discusses writing power functions through the points (3, 8) and (9, 12) and through the points (5, 2) and (10, 6).
Quiz2 | Theory of Computation | Akash Anand | MTH 401A | IIT KanpurVivekananda Samiti
This document provides the solution to a quiz question that asks students to convert a non-deterministic machine over the alphabet {0,1} to a minimal deterministic machine. The solution labels the states of the non-deterministic machine and uses the subset construction method to find an equivalent deterministic machine. It then checks that all states in the constructed deterministic machine are distinguishable, confirming that the machine obtained from subset construction is minimal.
1. The document outlines the steps needed to model orthotropic materials and composites in ANSYS Workbench versions 14.0 and 14.5.
2. The steps include creating a layered section geometry, defining a coordinate system, associating the layered section with a geometry, and inserting loads and running the analysis.
3. It is important to verify that the element coordinate systems are oriented as intended and that the model progresses as expected.
This document discusses mathematical functions in SQL Server that can perform calculations on table columns, such as SUM, AVG, MIN, MAX, and COUNT. It provides examples of using these aggregate functions to find the total booty, average booty, maximum booty, minimum booty, and number of cases in a sample robberies table. The document also notes that these functions cannot be used with a WHERE clause and explains how to instead use HAVING, ANY, or IN. It describes combining aggregate functions with GROUP BY and using multiple aggregates together.
The document discusses McGregor's Theory X and Theory Y of management, the comprehensive process of decision making, recruitment and selection processes, and job analysis. It explains that job analysis involves creating a framework object that passes data between modules along an analysis path, with each module performing its own task on the data before passing it to the next module, until the final output module is reached and the analysis job ends.
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.
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.
Optimization Problems Solved by Different Platforms Say Optimum Tool Box (Mat...IRJET Journal
The document discusses using MATLAB and Excel Solver to solve optimization problems in engineering. It provides examples of using these tools to solve linear programming problems, including a purchasing optimization problem maximizing profits. Nonlinear programming problems are also demonstrated, such as quadratic and least squares problems. The key benefits of MATLAB and Excel Solver for optimization problems are their ease of use without requiring an in-depth understanding of mathematical algorithms. They allow students and researchers to efficiently model and solve a variety of optimization problems.
This document discusses writing exponential and power functions given points on their graphs. It provides examples of writing exponential functions that pass through the points (-1, 0.0625) and (2, 32) and through the points (2, 9) and (4, 20.25). It also discusses writing power functions through the points (3, 8) and (9, 12) and through the points (5, 2) and (10, 6).
Quiz2 | Theory of Computation | Akash Anand | MTH 401A | IIT KanpurVivekananda Samiti
This document provides the solution to a quiz question that asks students to convert a non-deterministic machine over the alphabet {0,1} to a minimal deterministic machine. The solution labels the states of the non-deterministic machine and uses the subset construction method to find an equivalent deterministic machine. It then checks that all states in the constructed deterministic machine are distinguishable, confirming that the machine obtained from subset construction is minimal.
1. The document outlines the steps needed to model orthotropic materials and composites in ANSYS Workbench versions 14.0 and 14.5.
2. The steps include creating a layered section geometry, defining a coordinate system, associating the layered section with a geometry, and inserting loads and running the analysis.
3. It is important to verify that the element coordinate systems are oriented as intended and that the model progresses as expected.
This document discusses mathematical functions in SQL Server that can perform calculations on table columns, such as SUM, AVG, MIN, MAX, and COUNT. It provides examples of using these aggregate functions to find the total booty, average booty, maximum booty, minimum booty, and number of cases in a sample robberies table. The document also notes that these functions cannot be used with a WHERE clause and explains how to instead use HAVING, ANY, or IN. It describes combining aggregate functions with GROUP BY and using multiple aggregates together.
The document discusses McGregor's Theory X and Theory Y of management, the comprehensive process of decision making, recruitment and selection processes, and job analysis. It explains that job analysis involves creating a framework object that passes data between modules along an analysis path, with each module performing its own task on the data before passing it to the next module, until the final output module is reached and the analysis job ends.
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.
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.
Optimization Problems Solved by Different Platforms Say Optimum Tool Box (Mat...IRJET Journal
The document discusses using MATLAB and Excel Solver to solve optimization problems in engineering. It provides examples of using these tools to solve linear programming problems, including a purchasing optimization problem maximizing profits. Nonlinear programming problems are also demonstrated, such as quadratic and least squares problems. The key benefits of MATLAB and Excel Solver for optimization problems are their ease of use without requiring an in-depth understanding of mathematical algorithms. They allow students and researchers to efficiently model and solve a variety of optimization problems.
Job Shop Scheduling Using Mixed Integer ProgrammingIJMERJOURNAL
The document describes four mixed integer programming models for job shop scheduling with different objectives:
1) Minimize makespan without due dates
2) Minimize makespan with due date constraints
3) Minimize total earliness to accomplish just-in-time manufacturing
4) Minimize total lateness to reduce lateness penalties
The models are solved and their computational performance is compared based on parameters like makespan, machine utilization, and time efficiency. The results show that adding due date and earliness/lateness constraints increases makespan and machine idle time, lowering utilization.
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.
Parallel Line and Machine Job Scheduling Using Genetic AlgorithmIRJET Journal
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.
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
Chapter 16-spreadsheet1 questions and answerRaajTech
This document discusses spreadsheets and Excel. It defines key spreadsheet concepts like workbooks, cells, cell addresses, and formulas. It describes built-in Excel functions for date/time, arithmetic, statistical, logical, and financial calculations. The document also covers charts, macros, and databases in Excel. Spreadsheets allow users to enter, manipulate, and analyze numerical data using formulas and functions in a tabular format.
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.
This document describes research on using metaheuristic methods like genetic algorithms and simulated annealing to optimize the layout design and scheduling of a flexible manufacturing system (FMS) with an integrated loop layout. The objectives are to minimize makespan (completion time) and total transportation costs. A mathematical model is presented and test cases are generated with sample data on part batches, machine processing times and sequences, inter-machine distances, and loading/unloading costs. The performance of genetic algorithms and simulated annealing is evaluated on these test cases to optimize the layout design and scheduling of the FMS loop layout.
This document contains instructions for a take-home final exam for an IE 535 computer simulation course. It includes 5 questions - the first asks students to analyze a single queueing system using given arrival and service times, the second through fourth ask students to solve problems from a textbook on simulation modeling, and the fifth asks students to perform a literature survey on a simulation modeling topic and summarize their findings. It also provides a format for students to follow when reporting on their network modeling problems.
Quick Development and Deployment of Industrial Applications using Excel/VBA, ...Alkis Vazacopoulos
Presented in this document is a description of how to develop and deploy industrial applications in a timely fashion using Excel/VBA as the user-interface (UI) and systems-integration (SI) system, IMPL as the industrial modeller and CPLEX as the commercial solver. A small jobshop scheduling example is overviewed to help describe to some extent, the details of this advanced decision-making application where this type of problem can be found in both the manufacturing and process industries.
The purpose of developing and deploying quickly is to acquire feedback from the end-users, to assess the difficulty and tractability of the problem, to ascertain the expected costs and benefits of the application and to address any other issues and requirements regarding the project as a whole as soon as possible. For some projects, proof-of-concepts, prototypes and/or pilots are also useful and these should also be performed ASAP as well using the same approach highlighted here. Ultimately, once a business problem solution has been achieved and full or partial benefits have been captured, then a more robust and sophisticated end-user experience and system architecture can be implemented in the operating system and computer programming environment of choice which will hopefully enhance and maintain the solution over its expected life-cycle.
IRJET- Stress – Strain Field Analysis of Mild Steel Component using Finite El...IRJET Journal
This document analyzes the stress-strain field of a mild steel component under uniaxial loading using the finite element method. The component is modeled in MATLAB and Autodesk Fusion 360 using three elements and four nodes. Results are obtained for tensile forces of 1000N, 3000N, and 9000N. The displacement, stress, and strain values calculated in MATLAB are approximately similar to analytical solutions. Fusion 360 provides the maximum and minimum values within the component. The analysis demonstrates that finite element modeling can accurately determine stress-strain behavior under different loads.
Efficiency of bond graph and external model integration for alarm processing ...IJAAS Team
The document discusses integrating bond graph and external models for alarm processing in a central air conditioning system supervision system. An external model structures a process into operating modes, while a bond graph model describes system dynamics. The proposed system uses both models to detect and locate faults in each operating mode. It was applied to a central air conditioning system, modeling it from modeling to reconfiguration stages. Bond graph and external models were integrated by representing external model services, missions, and operating modes as bond graph elements and structures. This allowed monitoring system performance and reconfiguring using bond graph causal and structural properties. Residuals were also defined to analyze the air conditioning system in different operating modes.
Application of local search methods for solving a quadratic assignment proble...Gurdal Ertek
This paper discusses the design and application of local search methods to a real-life application at a steel cord manufacturing plant. The case study involves a layout problem that can be represented as a Quadratic Assignment Problem (QAP). Due to the nature of the manufacturing process, certain machinery need to be allocated in close proximity to each other. This issue is incorporated into the objective function through assigning high penalty costs to the unfavorable allocations. QAP belongs to one of the most difficult class of combinatorial optimization problems, and is not solvable to optimality as the number of facilities increases. We implement the well-known local
search methods, 2-opt, 3-opt and tabu search. We compare the solution performances of the methods to the results obtained from the NEOS server, which provides free access to many optimization solvers on the internet.
http://research.sabanciuniv.edu.
This document introduces a linear programming problem involving the production of two new products, Product 1 and Product 2, at the Wyndor Glass Co. The objective is to determine the production rates of each product that will maximize total weekly profit, subject to the limited production capacities of Plants 1-3. Plant 1 can produce 4 batches of Product 1 per week, Plant 2 can produce 6 batches of Product 2 per week, and Plant 3 has capacity for 18 total hours across Products 1 and 2. The mathematical model aims to maximize profit (Z) which is defined as 3x1 + 5x2, where x1 and x2 are the decision variables representing the production rates of each product, subject to the plant capacity constraints.
Using Monte Carlo Simulation in Project Estimates by Akram Najjar
The PMI Lebanon is glad to announce that Akram Najjar is the speaker for the a lecture titled “Using Monte Carlo Simulation in Project Estimates” delivered on Thursday, 28 July 2016
Lecture Outline
* Why are single point estimates unreliable and what is the alternative?
* What are distributions and how do we extract random samples from them (using Excel)? Two costing examples.
* How to setup a Monte Carlo Simulation model in a spreadsheet?
* Two PM examples (in detail)
* How to statistically analyze the thousands of runs to reach reliable estimates?
Lecture Objectives
* A Project Manager usually knows how certain parameters (such as duration, resource rates or quantities) behave. However, the PM can almost never define reliable single point estimates for these parameters. The result: many projects fail due to unreliable estimates. The alternative? The PM has to use his/her knowledge of how specific parameters behave statistically. For example, the PM knows that a specific task’s duration is distributed according to the bell shaped curve OR that another is uniformly distributed (flat variation), or triangular, or Beta-PERT, etc. The PM can then use Monte Carlo Simulation (MCS) to arrive at statistically significant and robust results. Monte Carlo Simulation (MCS) is a technique that relies on two processes. Process 1 aims at developing a spreadsheet model that calculates the critical path or the total cost, etc. The calculation is setup in a single row (or Run). This row is then duplicated a large number of times (thousands). Process 2 aims at inserting Excel functions in each of the parameters (durations, costs). In each row (or Run), such functions will provide a sample drawn from a statistical distribution that properly describes the behavior of that parameter. For example, a specific duration follows a Normal (Bell) distribution with an Average A and a Standard Deviation S. The model will then generate for each run and for that duration a different value that conforms with the bell shaped curve as defined (A and S). Each of these thousands of runs will provide the PM with a different “simulation” of the duration or the total cost, etc. By statistically analyzing the thousands of results, the PM can arrive at a robust and reliable estimate. Proprietary Add On’s for Monte Carlo Simulation in Microsoft Project are available. However, it is easy, free and more flexible to use native Microsoft functions to carry out the full simulation. The talk covered all the steps needed for such simulations giving several examples
Descriptionsordernametypeformatvallabvarlab1location_idint%8.0gNumeric identifier of export source location2partner_idint%8.0gNumeric identifier of export destination location3yearint%8.0gYear4location_codestr3%9sThe source of the export goods (NZL) 3 character code.5location_name_short_enstr11%11sDescriptive name of country/region6partner_codestr3%9sThe destination of the export goods 3 character code7partner_name_short_enstr44%44sDescriptive name of country/region8hs_product_codestr2%9sProduct code identifier9export_valuedouble%10.0g(sum) export_value10comlang_offbyte%8.0g1 for common official of primary language11comlang_ethnobyte%8.0g1 if a language is spoken by at least 9% of the population in both countries12colonybyte%8.0g1 for pairs ever in colonial relationship13distfloat%9.0gsimple distance (most populated cities, km)14distcapfloat%9.0gsimple distance between capitals (capitals, km)15distwdouble%9.0gweighted distance (pop-wt, km)16pop_odouble%9.0gPopulation, total in mn17pop_ddouble%9.0gPopulation, total in mn18gdp_odouble%9.0gGDP (current US$)19gdp_ddouble%9.0gGDP (current US$)20gdpcap_ofloat%9.0gGDP per cap (current US$)21gdpcap_dfloat%9.0gGDP per cap (current US$)22area_olong%12.0gArea in sq. kms23area_dlong%12.0gArea in sq. kms24comcurbyte%8.0g1=Common currency25comreligfloat%9.0g1=Common religion26gatt_obyte%8.0g1=Origin is GATT/WTO member27gatt_dbyte%8.0g1=Destination is GATT/WTO member28pta_bbbyte%9.0g1=Non-reciprocal PTA ; 2=PTA (Source: Baier & Bergstrand, 2009)29fta_wtobyte%8.0g1=RTA (Source: WTO, 2015)30fta_bbbyte%8.0g1=FTA;2=Cust. Union;3=Common Market;4=Economic union (Baier & Bergstrand, 2009)31eu_dbyte%8.0g1=Destination is a EU member32product_idint%8.0gProduct id code33hs_product_name_short_enstr48%48sEnglish description of product category
SEES0095
Advanced Quantitative
Methods
2019/2020
Project Description and Q & A
Svetlana Makarova room 525 (16 Taviton)
[email protected]
2 SEES0095 AQM Project Description and Q & A
Brief Extraction from the
SEESG46 Advanced Quantitative Methods Course Description
The course will be assessed through 100% coursework assignment. The assignment will be in the
form of a project. For your project are you encouraged to use data related to emerging markets
and transition economies – for example, on Demographic and Health indicators, voting patterns
and determinants, regional GDP, Foreign Direct Investment, Growth, inflation, labour markets
etc – and carry out an appropriate statistical analysis. Your results should be written up as a
research project incorporating an introduction, a contextual or literature background, a
methodology, data description and interpretation, results and conclusions. The practical
exercises throughout the course will prepare you for this assignment. You will be expected to
use Stata as the only computational tool. No other statistical packages will be allowed. The
assignment should be no more than 5,000 words. T.
Descriptionsordernametypeformatvallabvarlab1location_idint%8.0gNumeric identifier of export source location2partner_idint%8.0gNumeric identifier of export destination location3yearint%8.0gYear4location_codestr3%9sThe source of the export goods (NZL) 3 character code.5location_name_short_enstr11%11sDescriptive name of country/region6partner_codestr3%9sThe destination of the export goods 3 character code7partner_name_short_enstr44%44sDescriptive name of country/region8hs_product_codestr2%9sProduct code identifier9export_valuedouble%10.0g(sum) export_value10comlang_offbyte%8.0g1 for common official of primary language11comlang_ethnobyte%8.0g1 if a language is spoken by at least 9% of the population in both countries12colonybyte%8.0g1 for pairs ever in colonial relationship13distfloat%9.0gsimple distance (most populated cities, km)14distcapfloat%9.0gsimple distance between capitals (capitals, km)15distwdouble%9.0gweighted distance (pop-wt, km)16pop_odouble%9.0gPopulation, total in mn17pop_ddouble%9.0gPopulation, total in mn18gdp_odouble%9.0gGDP (current US$)19gdp_ddouble%9.0gGDP (current US$)20gdpcap_ofloat%9.0gGDP per cap (current US$)21gdpcap_dfloat%9.0gGDP per cap (current US$)22area_olong%12.0gArea in sq. kms23area_dlong%12.0gArea in sq. kms24comcurbyte%8.0g1=Common currency25comreligfloat%9.0g1=Common religion26gatt_obyte%8.0g1=Origin is GATT/WTO member27gatt_dbyte%8.0g1=Destination is GATT/WTO member28pta_bbbyte%9.0g1=Non-reciprocal PTA ; 2=PTA (Source: Baier & Bergstrand, 2009)29fta_wtobyte%8.0g1=RTA (Source: WTO, 2015)30fta_bbbyte%8.0g1=FTA;2=Cust. Union;3=Common Market;4=Economic union (Baier & Bergstrand, 2009)31eu_dbyte%8.0g1=Destination is a EU member32product_idint%8.0gProduct id code33hs_product_name_short_enstr48%48sEnglish description of product category
SEES0095
Advanced Quantitative
Methods
2019/2020
Project Description and Q & A
Svetlana Makarova room 525 (16 Taviton)
[email protected]
2 SEES0095 AQM Project Description and Q & A
Brief Extraction from the
SEESG46 Advanced Quantitative Methods Course Description
The course will be assessed through 100% coursework assignment. The assignment will be in the
form of a project. For your project are you encouraged to use data related to emerging markets
and transition economies – for example, on Demographic and Health indicators, voting patterns
and determinants, regional GDP, Foreign Direct Investment, Growth, inflation, labour markets
etc – and carry out an appropriate statistical analysis. Your results should be written up as a
research project incorporating an introduction, a contextual or literature background, a
methodology, data description and interpretation, results and conclusions. The practical
exercises throughout the course will prepare you for this assignment. You will be expected to
use Stata as the only computational tool. No other statistical packages will be allowed. The
assignment should be no more than 5,000 words. T.
The macro automates the process of generating payroll raise files for hourly Anderson employees. It copies data from a calculation worksheet into an import worksheet, filters for non-blank rows, formats the columns, saves the worksheet as a CSV file in the designated folder, and sends an email notification that the file is ready. The macro deletes previous data, formats the cells, filters for blanks, and saves time by automating repetitive monthly tasks.
This document summarizes a study that used simulation to improve the layout of a job shop manufacturing facility using group technology concepts. 34 parts processed on 6 machines were analyzed. The parts were divided into 4 families using direct clustering. A new layout was designed with similar machines grouped together using the CRAFT algorithm. This resulted in a minimum material handling cost layout. The initial layout cost was 1738.75 units per period, while the optimized layout using group technology concepts and CRAFT algorithm cost 1071.25 units per period, a significant cost reduction.
This document provides 50 tips for using various Excel functions and features. It begins with tips on creating macros, the GETPIVOTDATA function, formatting chart axes, date validation, and using the IF function. Subsequent tips cover additional functions and features such as nested IF statements, forecasting, error handling, date formatting, highlighting dates, transposing data, data validation, random number generation, hyperlinks, data consolidation, text functions, pivot tables, and more. The tips provide step-by-step examples and explanations for how to utilize Excel to analyze data, validate information, visualize results in charts and pivot tables, and automate repetitive tasks.
Job Shop Layout Design Using Group TechnologyIJMER
This document summarizes a study that uses simulation to improve the performance of a job shop layout by reconfiguring the machines. 34 job elements that are processed on 6 machines were analyzed. The jobs were clustered into 4 part families using direct clustering. Similar machines were then grouped together. Computerized Relative Allocation of Facilities Technique (CRAFT) with computer graphics was used to design a new layout. The initial layout had a total material handling cost of 1738.75 units per period. The optimized layout designed using CRAFT reduced this cost to 1071.25 units, a significant improvement without additional investment.
- Mining is a hazardous profession with high accident and injury rates in India. There were 117 and 101 fatalities and 509 and 52 serious injuries in coal and metalliferous mines respectively in 2010.
- On average over the last ten years, there were 83 and 49 fatalities and 729 and 94 serious accidents annually in coal and metalliferous mines respectively.
- The average death rate per 1000 persons employed annually is around 0.26 and 0.42 and the serious injury rate is around 1.95 and 0.74 in coal and metalliferous mines respectively.
- Several factors ranging from personal to management issues contribute to the high injury rates in Indian mines.
This document provides information on various topics related to tunnelling including introduction, role of geology, factors improving tunnelling, problems associated with tunnelling, future considerations, terms related to mining practices and tunnelling, tunnel service classification, methods of tunnelling, development of drills, equipment used, drilling processes, and specific drilling equipment. It discusses the importance of tunnels, describes different types of tunnels based on use and ground conditions, and outlines key factors to consider for tunnel design and construction methods.
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Similar to Computer techniques for optimization of cycle of operations
Job Shop Scheduling Using Mixed Integer ProgrammingIJMERJOURNAL
The document describes four mixed integer programming models for job shop scheduling with different objectives:
1) Minimize makespan without due dates
2) Minimize makespan with due date constraints
3) Minimize total earliness to accomplish just-in-time manufacturing
4) Minimize total lateness to reduce lateness penalties
The models are solved and their computational performance is compared based on parameters like makespan, machine utilization, and time efficiency. The results show that adding due date and earliness/lateness constraints increases makespan and machine idle time, lowering utilization.
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.
Parallel Line and Machine Job Scheduling Using Genetic AlgorithmIRJET Journal
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.
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
Chapter 16-spreadsheet1 questions and answerRaajTech
This document discusses spreadsheets and Excel. It defines key spreadsheet concepts like workbooks, cells, cell addresses, and formulas. It describes built-in Excel functions for date/time, arithmetic, statistical, logical, and financial calculations. The document also covers charts, macros, and databases in Excel. Spreadsheets allow users to enter, manipulate, and analyze numerical data using formulas and functions in a tabular format.
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.
This document describes research on using metaheuristic methods like genetic algorithms and simulated annealing to optimize the layout design and scheduling of a flexible manufacturing system (FMS) with an integrated loop layout. The objectives are to minimize makespan (completion time) and total transportation costs. A mathematical model is presented and test cases are generated with sample data on part batches, machine processing times and sequences, inter-machine distances, and loading/unloading costs. The performance of genetic algorithms and simulated annealing is evaluated on these test cases to optimize the layout design and scheduling of the FMS loop layout.
This document contains instructions for a take-home final exam for an IE 535 computer simulation course. It includes 5 questions - the first asks students to analyze a single queueing system using given arrival and service times, the second through fourth ask students to solve problems from a textbook on simulation modeling, and the fifth asks students to perform a literature survey on a simulation modeling topic and summarize their findings. It also provides a format for students to follow when reporting on their network modeling problems.
Quick Development and Deployment of Industrial Applications using Excel/VBA, ...Alkis Vazacopoulos
Presented in this document is a description of how to develop and deploy industrial applications in a timely fashion using Excel/VBA as the user-interface (UI) and systems-integration (SI) system, IMPL as the industrial modeller and CPLEX as the commercial solver. A small jobshop scheduling example is overviewed to help describe to some extent, the details of this advanced decision-making application where this type of problem can be found in both the manufacturing and process industries.
The purpose of developing and deploying quickly is to acquire feedback from the end-users, to assess the difficulty and tractability of the problem, to ascertain the expected costs and benefits of the application and to address any other issues and requirements regarding the project as a whole as soon as possible. For some projects, proof-of-concepts, prototypes and/or pilots are also useful and these should also be performed ASAP as well using the same approach highlighted here. Ultimately, once a business problem solution has been achieved and full or partial benefits have been captured, then a more robust and sophisticated end-user experience and system architecture can be implemented in the operating system and computer programming environment of choice which will hopefully enhance and maintain the solution over its expected life-cycle.
IRJET- Stress – Strain Field Analysis of Mild Steel Component using Finite El...IRJET Journal
This document analyzes the stress-strain field of a mild steel component under uniaxial loading using the finite element method. The component is modeled in MATLAB and Autodesk Fusion 360 using three elements and four nodes. Results are obtained for tensile forces of 1000N, 3000N, and 9000N. The displacement, stress, and strain values calculated in MATLAB are approximately similar to analytical solutions. Fusion 360 provides the maximum and minimum values within the component. The analysis demonstrates that finite element modeling can accurately determine stress-strain behavior under different loads.
Efficiency of bond graph and external model integration for alarm processing ...IJAAS Team
The document discusses integrating bond graph and external models for alarm processing in a central air conditioning system supervision system. An external model structures a process into operating modes, while a bond graph model describes system dynamics. The proposed system uses both models to detect and locate faults in each operating mode. It was applied to a central air conditioning system, modeling it from modeling to reconfiguration stages. Bond graph and external models were integrated by representing external model services, missions, and operating modes as bond graph elements and structures. This allowed monitoring system performance and reconfiguring using bond graph causal and structural properties. Residuals were also defined to analyze the air conditioning system in different operating modes.
Application of local search methods for solving a quadratic assignment proble...Gurdal Ertek
This paper discusses the design and application of local search methods to a real-life application at a steel cord manufacturing plant. The case study involves a layout problem that can be represented as a Quadratic Assignment Problem (QAP). Due to the nature of the manufacturing process, certain machinery need to be allocated in close proximity to each other. This issue is incorporated into the objective function through assigning high penalty costs to the unfavorable allocations. QAP belongs to one of the most difficult class of combinatorial optimization problems, and is not solvable to optimality as the number of facilities increases. We implement the well-known local
search methods, 2-opt, 3-opt and tabu search. We compare the solution performances of the methods to the results obtained from the NEOS server, which provides free access to many optimization solvers on the internet.
http://research.sabanciuniv.edu.
This document introduces a linear programming problem involving the production of two new products, Product 1 and Product 2, at the Wyndor Glass Co. The objective is to determine the production rates of each product that will maximize total weekly profit, subject to the limited production capacities of Plants 1-3. Plant 1 can produce 4 batches of Product 1 per week, Plant 2 can produce 6 batches of Product 2 per week, and Plant 3 has capacity for 18 total hours across Products 1 and 2. The mathematical model aims to maximize profit (Z) which is defined as 3x1 + 5x2, where x1 and x2 are the decision variables representing the production rates of each product, subject to the plant capacity constraints.
Using Monte Carlo Simulation in Project Estimates by Akram Najjar
The PMI Lebanon is glad to announce that Akram Najjar is the speaker for the a lecture titled “Using Monte Carlo Simulation in Project Estimates” delivered on Thursday, 28 July 2016
Lecture Outline
* Why are single point estimates unreliable and what is the alternative?
* What are distributions and how do we extract random samples from them (using Excel)? Two costing examples.
* How to setup a Monte Carlo Simulation model in a spreadsheet?
* Two PM examples (in detail)
* How to statistically analyze the thousands of runs to reach reliable estimates?
Lecture Objectives
* A Project Manager usually knows how certain parameters (such as duration, resource rates or quantities) behave. However, the PM can almost never define reliable single point estimates for these parameters. The result: many projects fail due to unreliable estimates. The alternative? The PM has to use his/her knowledge of how specific parameters behave statistically. For example, the PM knows that a specific task’s duration is distributed according to the bell shaped curve OR that another is uniformly distributed (flat variation), or triangular, or Beta-PERT, etc. The PM can then use Monte Carlo Simulation (MCS) to arrive at statistically significant and robust results. Monte Carlo Simulation (MCS) is a technique that relies on two processes. Process 1 aims at developing a spreadsheet model that calculates the critical path or the total cost, etc. The calculation is setup in a single row (or Run). This row is then duplicated a large number of times (thousands). Process 2 aims at inserting Excel functions in each of the parameters (durations, costs). In each row (or Run), such functions will provide a sample drawn from a statistical distribution that properly describes the behavior of that parameter. For example, a specific duration follows a Normal (Bell) distribution with an Average A and a Standard Deviation S. The model will then generate for each run and for that duration a different value that conforms with the bell shaped curve as defined (A and S). Each of these thousands of runs will provide the PM with a different “simulation” of the duration or the total cost, etc. By statistically analyzing the thousands of results, the PM can arrive at a robust and reliable estimate. Proprietary Add On’s for Monte Carlo Simulation in Microsoft Project are available. However, it is easy, free and more flexible to use native Microsoft functions to carry out the full simulation. The talk covered all the steps needed for such simulations giving several examples
Descriptionsordernametypeformatvallabvarlab1location_idint%8.0gNumeric identifier of export source location2partner_idint%8.0gNumeric identifier of export destination location3yearint%8.0gYear4location_codestr3%9sThe source of the export goods (NZL) 3 character code.5location_name_short_enstr11%11sDescriptive name of country/region6partner_codestr3%9sThe destination of the export goods 3 character code7partner_name_short_enstr44%44sDescriptive name of country/region8hs_product_codestr2%9sProduct code identifier9export_valuedouble%10.0g(sum) export_value10comlang_offbyte%8.0g1 for common official of primary language11comlang_ethnobyte%8.0g1 if a language is spoken by at least 9% of the population in both countries12colonybyte%8.0g1 for pairs ever in colonial relationship13distfloat%9.0gsimple distance (most populated cities, km)14distcapfloat%9.0gsimple distance between capitals (capitals, km)15distwdouble%9.0gweighted distance (pop-wt, km)16pop_odouble%9.0gPopulation, total in mn17pop_ddouble%9.0gPopulation, total in mn18gdp_odouble%9.0gGDP (current US$)19gdp_ddouble%9.0gGDP (current US$)20gdpcap_ofloat%9.0gGDP per cap (current US$)21gdpcap_dfloat%9.0gGDP per cap (current US$)22area_olong%12.0gArea in sq. kms23area_dlong%12.0gArea in sq. kms24comcurbyte%8.0g1=Common currency25comreligfloat%9.0g1=Common religion26gatt_obyte%8.0g1=Origin is GATT/WTO member27gatt_dbyte%8.0g1=Destination is GATT/WTO member28pta_bbbyte%9.0g1=Non-reciprocal PTA ; 2=PTA (Source: Baier & Bergstrand, 2009)29fta_wtobyte%8.0g1=RTA (Source: WTO, 2015)30fta_bbbyte%8.0g1=FTA;2=Cust. Union;3=Common Market;4=Economic union (Baier & Bergstrand, 2009)31eu_dbyte%8.0g1=Destination is a EU member32product_idint%8.0gProduct id code33hs_product_name_short_enstr48%48sEnglish description of product category
SEES0095
Advanced Quantitative
Methods
2019/2020
Project Description and Q & A
Svetlana Makarova room 525 (16 Taviton)
[email protected]
2 SEES0095 AQM Project Description and Q & A
Brief Extraction from the
SEESG46 Advanced Quantitative Methods Course Description
The course will be assessed through 100% coursework assignment. The assignment will be in the
form of a project. For your project are you encouraged to use data related to emerging markets
and transition economies – for example, on Demographic and Health indicators, voting patterns
and determinants, regional GDP, Foreign Direct Investment, Growth, inflation, labour markets
etc – and carry out an appropriate statistical analysis. Your results should be written up as a
research project incorporating an introduction, a contextual or literature background, a
methodology, data description and interpretation, results and conclusions. The practical
exercises throughout the course will prepare you for this assignment. You will be expected to
use Stata as the only computational tool. No other statistical packages will be allowed. The
assignment should be no more than 5,000 words. T.
Descriptionsordernametypeformatvallabvarlab1location_idint%8.0gNumeric identifier of export source location2partner_idint%8.0gNumeric identifier of export destination location3yearint%8.0gYear4location_codestr3%9sThe source of the export goods (NZL) 3 character code.5location_name_short_enstr11%11sDescriptive name of country/region6partner_codestr3%9sThe destination of the export goods 3 character code7partner_name_short_enstr44%44sDescriptive name of country/region8hs_product_codestr2%9sProduct code identifier9export_valuedouble%10.0g(sum) export_value10comlang_offbyte%8.0g1 for common official of primary language11comlang_ethnobyte%8.0g1 if a language is spoken by at least 9% of the population in both countries12colonybyte%8.0g1 for pairs ever in colonial relationship13distfloat%9.0gsimple distance (most populated cities, km)14distcapfloat%9.0gsimple distance between capitals (capitals, km)15distwdouble%9.0gweighted distance (pop-wt, km)16pop_odouble%9.0gPopulation, total in mn17pop_ddouble%9.0gPopulation, total in mn18gdp_odouble%9.0gGDP (current US$)19gdp_ddouble%9.0gGDP (current US$)20gdpcap_ofloat%9.0gGDP per cap (current US$)21gdpcap_dfloat%9.0gGDP per cap (current US$)22area_olong%12.0gArea in sq. kms23area_dlong%12.0gArea in sq. kms24comcurbyte%8.0g1=Common currency25comreligfloat%9.0g1=Common religion26gatt_obyte%8.0g1=Origin is GATT/WTO member27gatt_dbyte%8.0g1=Destination is GATT/WTO member28pta_bbbyte%9.0g1=Non-reciprocal PTA ; 2=PTA (Source: Baier & Bergstrand, 2009)29fta_wtobyte%8.0g1=RTA (Source: WTO, 2015)30fta_bbbyte%8.0g1=FTA;2=Cust. Union;3=Common Market;4=Economic union (Baier & Bergstrand, 2009)31eu_dbyte%8.0g1=Destination is a EU member32product_idint%8.0gProduct id code33hs_product_name_short_enstr48%48sEnglish description of product category
SEES0095
Advanced Quantitative
Methods
2019/2020
Project Description and Q & A
Svetlana Makarova room 525 (16 Taviton)
[email protected]
2 SEES0095 AQM Project Description and Q & A
Brief Extraction from the
SEESG46 Advanced Quantitative Methods Course Description
The course will be assessed through 100% coursework assignment. The assignment will be in the
form of a project. For your project are you encouraged to use data related to emerging markets
and transition economies – for example, on Demographic and Health indicators, voting patterns
and determinants, regional GDP, Foreign Direct Investment, Growth, inflation, labour markets
etc – and carry out an appropriate statistical analysis. Your results should be written up as a
research project incorporating an introduction, a contextual or literature background, a
methodology, data description and interpretation, results and conclusions. The practical
exercises throughout the course will prepare you for this assignment. You will be expected to
use Stata as the only computational tool. No other statistical packages will be allowed. The
assignment should be no more than 5,000 words. T.
The macro automates the process of generating payroll raise files for hourly Anderson employees. It copies data from a calculation worksheet into an import worksheet, filters for non-blank rows, formats the columns, saves the worksheet as a CSV file in the designated folder, and sends an email notification that the file is ready. The macro deletes previous data, formats the cells, filters for blanks, and saves time by automating repetitive monthly tasks.
This document summarizes a study that used simulation to improve the layout of a job shop manufacturing facility using group technology concepts. 34 parts processed on 6 machines were analyzed. The parts were divided into 4 families using direct clustering. A new layout was designed with similar machines grouped together using the CRAFT algorithm. This resulted in a minimum material handling cost layout. The initial layout cost was 1738.75 units per period, while the optimized layout using group technology concepts and CRAFT algorithm cost 1071.25 units per period, a significant cost reduction.
This document provides 50 tips for using various Excel functions and features. It begins with tips on creating macros, the GETPIVOTDATA function, formatting chart axes, date validation, and using the IF function. Subsequent tips cover additional functions and features such as nested IF statements, forecasting, error handling, date formatting, highlighting dates, transposing data, data validation, random number generation, hyperlinks, data consolidation, text functions, pivot tables, and more. The tips provide step-by-step examples and explanations for how to utilize Excel to analyze data, validate information, visualize results in charts and pivot tables, and automate repetitive tasks.
Job Shop Layout Design Using Group TechnologyIJMER
This document summarizes a study that uses simulation to improve the performance of a job shop layout by reconfiguring the machines. 34 job elements that are processed on 6 machines were analyzed. The jobs were clustered into 4 part families using direct clustering. Similar machines were then grouped together. Computerized Relative Allocation of Facilities Technique (CRAFT) with computer graphics was used to design a new layout. The initial layout had a total material handling cost of 1738.75 units per period. The optimized layout designed using CRAFT reduced this cost to 1071.25 units, a significant improvement without additional investment.
Similar to Computer techniques for optimization of cycle of operations (20)
- Mining is a hazardous profession with high accident and injury rates in India. There were 117 and 101 fatalities and 509 and 52 serious injuries in coal and metalliferous mines respectively in 2010.
- On average over the last ten years, there were 83 and 49 fatalities and 729 and 94 serious accidents annually in coal and metalliferous mines respectively.
- The average death rate per 1000 persons employed annually is around 0.26 and 0.42 and the serious injury rate is around 1.95 and 0.74 in coal and metalliferous mines respectively.
- Several factors ranging from personal to management issues contribute to the high injury rates in Indian mines.
This document provides information on various topics related to tunnelling including introduction, role of geology, factors improving tunnelling, problems associated with tunnelling, future considerations, terms related to mining practices and tunnelling, tunnel service classification, methods of tunnelling, development of drills, equipment used, drilling processes, and specific drilling equipment. It discusses the importance of tunnels, describes different types of tunnels based on use and ground conditions, and outlines key factors to consider for tunnel design and construction methods.
This document provides information on different types of explosives and blasting accessories used in mines. It defines explosives and classifies them based on their sensitivity, risk level, strength, and other factors. It describes various high and low explosives like dynamite, ANFO, emulsion, and their properties. It also discusses blasting accessories like non-electric and electric detonation systems, detonating cords, and their advantages. In conclusion, the document is an overview of explosives and detonation tools commonly used for rock fragmentation in mining operations.
Role of management information systems in a mine.Safdar Ali
The document presents information on using a management information system (MIS) in a mine to optimize different operations such as drilling, blasting, loading, and transportation. It discusses using MIS to monitor these operations, provide operational and production data to managers, and help with decision making. Specific software solutions mentioned include blast information management systems, mine management reporting systems, and workforce management reporting systems. These systems can collect, analyze, and report various data like blast details, safety incidents, production figures, and personnel information to support mine planning and operations.
The document discusses various topics related to blasting and mucking in mines. It describes different types of cuts used for blasting weaker vs tougher rocks. It explains the common pattern of charging blast holes, with 2/3 filled with explosive and the remaining 1/3 with stemming material. It provides a formula for calculating the number of blast holes needed based on the powder factor and weight of explosives and rock. Finally, it discusses mucking, the loading of exploded materials, and the main machinery used for this in coal mines: side discharge loaders and load haul dump vehicles.
Marine operations require consideration of natural systems like weather, hydrology, geology, and biology. They also require ships and platforms, power sources, navigation tools, communication systems, and other technologies. Ships and platforms can be airborne, floating, submerged, or seabed-contacting, and are used to support equipment, work with seabed materials, and transport personnel and cargo. They come in various types including self-propelled or stationary, manned or unmanned designs. Power sources for marine operations face limitations similar to remote land areas and must be selected based on required power levels, available equipment, and cost.
Nuclear devices can be used for various applications in exploration and mining by creating large cavities. They offer a cheaper alternative to traditional earth moving and mining methods. Specifically, nuclear explosions could help remove overburden for a large non-ferrous metal deposit located in an extreme northern territory. A test explosion is planned to determine the optimal explosion parameters for displacing 900 million cubic meters of the total 2.3 billion cubic meters of overburden, with an expected cost savings of 1 billion roubles. Nuclear devices provide a way to mine remotely and in difficult climates by fragmenting rock and creating cavities.
Mining of manganese nodules from sea floorSafdar Ali
Mining of Manganese nodules from sea floor
Polymetallic nodules, also called manganese nodules, are rock concretions on the sea bottom formed of concentric layers of iron and manganese hydroxides around a core. There are three main concepts for mining systems for deep-sea minerals like nodules: hydraulic mining using pumps, a continuous line bucket system using a chain of buckets, and a modular mining system using a self-propelled collector shuttle. The economic feasibility and delineation of a mine-site are important considerations for nodule mining based on the availability and demand for metals like nickel, copper, cobalt, and manganese.
Mine water risk in open pit slope stabilitySafdar Ali
The document discusses mine water risk and its impact on open pit slope stability. It analyzes the slope stability of a chromite mine in India under three conditions: dry, drained, and undrained. Slope stability analysis was performed using the SLOPE/W software. The factor of safety was highest for the dry condition (1.277) and lowest for the undrained condition (1.230). Proper drainage is required to maintain stability as water can reduce shear strength and increase pore pressure.
Innovations and trend in metal mining & tunnellngSafdar Ali
Underground mining technologies have advanced with innovations like raise boring, trackless haulage systems, ore sorting, tele-remote operation, and fuel cells. New methods access deeper ore bodies through declines and improve productivity with longer hole drilling, bulk explosives charging, and fully automated material handling. Monitoring systems and hydraulic roof supports enhance safety, while leaching and biotechnology may enable extraction from additional mineral deposits.
Lighting terminology and units can be complex, but essentially come down to three main concepts:
1) Luminous flux refers to the total amount of visible light emitted by a source, measured in lumens. 2) Illuminance refers to the amount of light falling on a surface, measured in lux. 3) Luminance refers to the amount of light emitted from or reflected off a surface, measured in candelas per square meter. Understanding these core photometric concepts and the related units like lumens, lux, and candelas is essential for working with lighting.
Evaluation of slope stability for waste rock dumps in a mineSafdar Ali
This document evaluates the slope stability of waste rock dumps in an open cast mine. It discusses factors affecting dump stability such as shear strength, permeability, and hydrological issues. Modes of slope failure like planar, wedge, and circular failures are examined. A case study site is modeled using FLAC/Slope numerical software to analyze stability under varying conditions. Parametric studies show that stability decreases with steeper slopes and increases with higher cohesion and friction angle. The model provides accurate stability assessments and recommendations to optimize dump slopes.
This document provides information on grouting systems, freezing methods, shaft drilling and boring, and shaft sinking. It discusses grout hole specifications, selection of cement parameters, equipment used, and testing. It also covers freezing hole specifications, the freezing process, equipment, and periods of active and passive freezing. Finally, it outlines equipment needed for shaft sinking such as temporary buildings, drilling and blasting, mucking, dewatering pumps and devices, typical numbers of equipment, and purposes and brakes for hoists.
Digitization and 3d modelling of a mine planSafdar Ali
This document describes digitizing and 3D modeling of a mine plan. The plan was scanned and imported into AutoCAD for digitization. The digitized file was then imported into Surpac software to generate a 3D model. Contours were triangulated to create terrain models of the underground mine surfaces and other features. Sections and views of the 3D model provided advantages over paper plans such as accurate volume calculations, reserve estimations, and teaching applications. Future work could include using the model for reserve calculations and pit design.
Variety of mine plans and sections & second scheduleSafdar Ali
The document lists 20 types of mine plans and sections that are required by mining regulations. They include surface plans, underground plans, vertical sections, ventilation plans, combined seam plans, geological plans, rescue plans, water danger plans, abandoned mine plans, stone dusting plans, sampling plans, firefighting plans, joint survey plans, electrical plans, subsidence plans, systematic support plans, manpower distribution plans, accident plans, and any other plans required by inspectors. The plans must show details of the mine workings, geology, infrastructure, ventilation, hazards, personnel, and accidents.
Statutory provisions for the preaparation of mine plans and sectionsSafdar Ali
This document outlines 12 situations that require mine plans and sections to be prepared or updated according to regulations:
1) When a mine is abandoned, 2) When ownership of a mine changes, 3) When an old mine is re-opened, 4) When a tracing of a plan is prepared, 5) When workings are approaching the mine boundary, 6) When doubts arise about plan accuracy, 7) Before starting pillar extraction, 8) When working near railways/roads, 9) When working below rivers/canals, 10) When approaching disused workings, 11) Before constructing underground water dams, 12) For multi-section workings within 9m of each other. In each case, the document specifies what information must
Gps & its applications in opencast mine surveyingSafdar Ali
This document discusses the use of GPS technology for surveying applications in opencast mines. It provides information on the basic components and operation of GPS including its satellite constellation, signal structure, positioning principles, sources of error, and different receiver types. It then describes how GPS can be used for applications like surveying benches, faces, machines, boreholes, and establishing surface and control plans in opencast mines. Different GPS modes like static, rapid-static, kinematic and stop-and-go are outlined with their achievable accuracies for various surveying tasks.
This document discusses the applications of lasers in mining. It mentions that lasers are used for airborne scanning to detect mine subsidence over large areas, and for 3D scanning underground to create digital mine plans. Lasers are also used for distance measurement between points that are difficult to access, for shaft deepening, measuring shaft depths, underground surveying, and large hole drilling while maintaining orientation.
The document summarizes a gyro-theodolite, which uses a spinning gyroscope integrated with a theodolite to determine true north underground. It describes the main components, including the Wild GAK1 and more modern Gyromat 3000 suspended gyroscope systems. It provides details on operating and calibrating the gyro-theodolite, including running up the gyroscope, making observations of the moving shadow mark on the gyro scale, and equations to determine the midpoint of motion and calculate true north from the observations.
The document discusses GPS receivers and positioning methods. It provides details on:
- How GPS receivers obtain data from at least 4 satellites to determine position through measuring pseudo-ranges or carrier phase.
- Modern receivers can track all visible satellites simultaneously through multiple channels.
- Basic positioning involves measuring distances to 3 satellites, but using 4 eliminates clock bias errors.
- Carrier phase measurements provide more accurate positioning needed for engineering surveys.
Beyond Degrees - Empowering the Workforce in the Context of Skills-First.pptxEduSkills OECD
Iván Bornacelly, Policy Analyst at the OECD Centre for Skills, OECD, presents at the webinar 'Tackling job market gaps with a skills-first approach' on 12 June 2024
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
This document provides an overview of wound healing, its functions, stages, mechanisms, factors affecting it, and complications.
A wound is a break in the integrity of the skin or tissues, which may be associated with disruption of the structure and function.
Healing is the body’s response to injury in an attempt to restore normal structure and functions.
Healing can occur in two ways: Regeneration and Repair
There are 4 phases of wound healing: hemostasis, inflammation, proliferation, and remodeling. This document also describes the mechanism of wound healing. Factors that affect healing include infection, uncontrolled diabetes, poor nutrition, age, anemia, the presence of foreign bodies, etc.
Complications of wound healing like infection, hyperpigmentation of scar, contractures, and keloid formation.
Walmart Business+ and Spark Good for Nonprofits.pdfTechSoup
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
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Reimagining Your Library Space: How to Increase the Vibes in Your Library No ...Diana Rendina
Librarians are leading the way in creating future-ready citizens – now we need to update our spaces to match. In this session, attendees will get inspiration for transforming their library spaces. You’ll learn how to survey students and patrons, create a focus group, and use design thinking to brainstorm ideas for your space. We’ll discuss budget friendly ways to change your space as well as how to find funding. No matter where you’re at, you’ll find ideas for reimagining your space in this session.
Reimagining Your Library Space: How to Increase the Vibes in Your Library No ...
Computer techniques for optimization of cycle of operations
1. ONLINE TEST SERIES FOR
DGMS COAL/METAL FIRST/SECOND CLASS
EXAM
GATE MINING EXAM
OVERMAN EXAM TEST
MINING INSPECTOR EXAMS
COAL INDIA MTs & OTHER PSUs EXAMS
FREE STUDY MATERIAL & VIDEO LECTURES
MINING JOBS NOTIFICATIONS
www.mineportal.in Call/Whatsapp-8804777500 www.fb.com/mineportal.in
2.
3.
4. Softwares used for optimisation
of cycle of operation:
› TORA
› MINESCHED
› MICROSOFT EXCEL
› Basically, mine scheduling is done using
MINESCHED.
5.
6. MICROSOFT EXCEL REPORTS AND CHARTS
MineSched’s reporting functions provide a clear
insight into a schedule’s period by period grade,
tonnes, equipment requirements, and
economics.
Any combination of data from a MineSched
schedule can be exported to Microsoft Excel,
where it can be formatted and shared with other
applications.
Define a custom report format and use pre-
created templates.
Obtain a detailed understanding of the schedule
which can easily communicate the results to
management and other stakeholders.
7. VISUALISE MINE SCHEDULES WITH 2D AND
3D GRAPHICS
With MineSched’s internal visualisation
capabilities, schedules can be viewed in two or
three dimensions, allowing schedules to be
clearly communicated and validated.
MineSched’s 3D Display allows users to:
View the material that will be mined as a 3D
solid
Interrogate each item on screen to display
tonnage and grade attributes.
Colour items on screen to show period and
production data.
Animate activities by using alternate geometries.
8.
9. Ant colony optimization has been
successfully implemented in several
combinatorial optimization problems like
vehicle routing problem.
10. Bissiri 2003, had made an attempt in
generating a response function that is
dependent on the shovel stimulus to
particular dumper, ability of dumper to
respond to shovel and status of dumper,
whether empty or loaded.
The response function rij can be expressed
as:
11.
12. Si(t) = demand of shovel i for dumpers
Θij(t) = ability of dumper j to respond to the
demand of shovel i,
N = total number of shovels during
operations at faces
M = total number of dumpers in operation.
n>1 = steepness.
13.
14.
15. Copy the problem in Microsoft excel.
Add one title ‘total’ below Demand and
similarly add one title of ‘total’ beside Supply.
In the new column give the function of sum
by writing ‘=SUM’ and select the first row of
constrains and hence copy this continue the
same function for remaining elements of the
column.
Now repeat the same process for new row.
16. These steps were done to sum the units for
comparison with Demand and Supply in later steps.
Now copy the full problem again at a new
position(leaving the new row and column) and
delete the constrains of the old problem.
Now name one cell as ‘total cost’ and input the
function ‘=SUMPRODUCT’ and select the empty
cells and constraints cell(copied one). This will
provide us the cost by multiplying units and our
provided constraints.
Now open solver and in ‘Target cell’ select the total
cost cell and give the function of ‘min’.
In ‘By changing cells’ select the empty cells and in
‘Reference’ select our constraints.
Now click on add constraints and select, demand
cells and in by reference cells, select total(new row)
with ‘>=‘
Similarly add another constraints of supply with
17. Then click on options and select ‘Assume
Linear Model’ and ‘Assume Non-negative’.
Then click on ‘Ok’.
Click on Solve. We will get the desired units
and least cost.
The above steps are explained in
attached video.