Machine Reliability in a Dynamic Cellular Manufacturing System: A Comprehensive Approach to a Cell Layout Problem
The fundamental function of a cellular manufacturing system (CMS) is based on definition and recognition of a type of similarity among parts that should be produced in a planning period. Cell formation (CF) and cell layout design are two important steps in implementation of the CMS. This paper repre...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Iran University of Science & Technology
2018-06-01
|
Series: | International Journal of Industrial Engineering and Production Research |
Subjects: | |
Online Access: | http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-176-15&slc_lang=en&sid=1 |
id |
doaj-0ef3bc102ec24198ac7018beda5d8334 |
---|---|
record_format |
Article |
spelling |
doaj-0ef3bc102ec24198ac7018beda5d83342020-11-24T23:13:15ZengIran University of Science & TechnologyInternational Journal of Industrial Engineering and Production Research2008-48892345-363X2018-06-01292175196Machine Reliability in a Dynamic Cellular Manufacturing System: A Comprehensive Approach to a Cell Layout ProblemAmir-Mohammad Golmohammadi0Mahboobeh Honarvar1Hasan Hosseini-Nasab2Reza Tavakkoli-MOghaddam3 Yazd University Yazd University Yazd University University of Tehran The fundamental function of a cellular manufacturing system (CMS) is based on definition and recognition of a type of similarity among parts that should be produced in a planning period. Cell formation (CF) and cell layout design are two important steps in implementation of the CMS. This paper represents a new nonlinear mathematical programming model for dynamic cell formation that employs the rectilinear distance notion to determine the layout in the continuous space. In the proposed model, machines are considered unreliable with a stochastic time between failures. The objective function calculates the costs of inter and intra-cell movements of parts and the cost due to the existence of exceptional elements (EEs), cell reconfigurations and machine breakdowns. Due to the problem complexity, the presented mathematical model is categorized in NP-hardness; thus, a genetic algorithm (GA) is used for solving this problem. Several crossover and mutation strategies are adjusted for GA and parameters are calibrated based on Taguchi experimental design method. The great efficiency of the proposed GA is then demonstrated via comparing with particle swarm optimization (PSO) and the optimum solution via GAMS considering several small/medium and large-sized problems. http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-176-15&slc_lang=en&sid=1Cellular manufacturing system Cell formation Cell layout Machine reliability Meta-heuristic algorithms. |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Amir-Mohammad Golmohammadi Mahboobeh Honarvar Hasan Hosseini-Nasab Reza Tavakkoli-MOghaddam |
spellingShingle |
Amir-Mohammad Golmohammadi Mahboobeh Honarvar Hasan Hosseini-Nasab Reza Tavakkoli-MOghaddam Machine Reliability in a Dynamic Cellular Manufacturing System: A Comprehensive Approach to a Cell Layout Problem International Journal of Industrial Engineering and Production Research Cellular manufacturing system Cell formation Cell layout Machine reliability Meta-heuristic algorithms. |
author_facet |
Amir-Mohammad Golmohammadi Mahboobeh Honarvar Hasan Hosseini-Nasab Reza Tavakkoli-MOghaddam |
author_sort |
Amir-Mohammad Golmohammadi |
title |
Machine Reliability in a Dynamic Cellular Manufacturing System: A Comprehensive Approach to a Cell Layout Problem |
title_short |
Machine Reliability in a Dynamic Cellular Manufacturing System: A Comprehensive Approach to a Cell Layout Problem |
title_full |
Machine Reliability in a Dynamic Cellular Manufacturing System: A Comprehensive Approach to a Cell Layout Problem |
title_fullStr |
Machine Reliability in a Dynamic Cellular Manufacturing System: A Comprehensive Approach to a Cell Layout Problem |
title_full_unstemmed |
Machine Reliability in a Dynamic Cellular Manufacturing System: A Comprehensive Approach to a Cell Layout Problem |
title_sort |
machine reliability in a dynamic cellular manufacturing system: a comprehensive approach to a cell layout problem |
publisher |
Iran University of Science & Technology |
series |
International Journal of Industrial Engineering and Production Research |
issn |
2008-4889 2345-363X |
publishDate |
2018-06-01 |
description |
The fundamental function of a cellular manufacturing system (CMS) is based on definition and recognition of a type of similarity among parts that should be produced in a planning period. Cell formation (CF) and cell layout design are two important steps in implementation of the CMS. This paper represents a new nonlinear mathematical programming model for dynamic cell formation that employs the rectilinear distance notion to determine the layout in the continuous space. In the proposed model, machines are considered unreliable with a stochastic time between failures. The objective function calculates the costs of inter and intra-cell movements of parts and the cost due to the existence of exceptional elements (EEs), cell reconfigurations and machine breakdowns. Due to the problem complexity, the presented mathematical model is categorized in NP-hardness; thus, a genetic algorithm (GA) is used for solving this problem. Several crossover and mutation strategies are adjusted for GA and parameters are calibrated based on Taguchi experimental design method. The great efficiency of the proposed GA is then demonstrated via comparing with particle swarm optimization (PSO) and the optimum solution via GAMS considering several small/medium and large-sized problems. |
topic |
Cellular manufacturing system Cell formation Cell layout Machine reliability Meta-heuristic algorithms. |
url |
http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-176-15&slc_lang=en&sid=1 |
work_keys_str_mv |
AT amirmohammadgolmohammadi machinereliabilityinadynamiccellularmanufacturingsystemacomprehensiveapproachtoacelllayoutproblem AT mahboobehhonarvar machinereliabilityinadynamiccellularmanufacturingsystemacomprehensiveapproachtoacelllayoutproblem AT hasanhosseininasab machinereliabilityinadynamiccellularmanufacturingsystemacomprehensiveapproachtoacelllayoutproblem AT rezatavakkolimoghaddam machinereliabilityinadynamiccellularmanufacturingsystemacomprehensiveapproachtoacelllayoutproblem |
_version_ |
1725598785943371776 |