A multi-objective evolutionary algorithm based on decomposition (MOEA/D) for the cellular manufacturing systems design problem

Cellular Manufacturing Systems (CMS) are preferred layout for manufacturing factories due to its flexibility and adaptability to handle the dynamic and continuous changes of product demands. This project focused on proposing a method to solve multi-objective CMS facility layout problems (FLPs) that...

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Main Author: So, Jia Yi
Other Authors: Wu Kan
Format: Final Year Project
Language:English
Published: 2018
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Online Access:http://hdl.handle.net/10356/74998
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-749982023-03-04T18:30:05Z A multi-objective evolutionary algorithm based on decomposition (MOEA/D) for the cellular manufacturing systems design problem So, Jia Yi Wu Kan School of Mechanical and Aerospace Engineering DRNTU::Engineering Cellular Manufacturing Systems (CMS) are preferred layout for manufacturing factories due to its flexibility and adaptability to handle the dynamic and continuous changes of product demands. This project focused on proposing a method to solve multi-objective CMS facility layout problems (FLPs) that is capable to produce a Pareto Frontier of optimal solutions. The aim of this project is motivated by the research gap that past studies only targeted on combining the two conflicting objective functions of CMS FLPs and generate only one end result. However, it is noted that the decision maker preferred to choose from a set of solutions due to qualitative considerations. The author has proposed a multi-objective approach and successfully developed the corresponding algorithm to solve CMS FLPs. In comparison to a unified objective function methodology by past studies and two other metaheuristics, the author’s proposed approach outperforms with regards to solutions quality and computation time. Companies would be able to apply the author’s proposed approach for their own facility layout problems and obtained an efficient arrangement of machines, resulting in significant cost savings. There is room for exploration for this project such as modifying it to be able to generate solutions real time to suit frequent changes of part demands or allow the decision maker to play a part during solution generation process. Bachelor of Engineering (Mechanical Engineering) 2018-05-25T08:24:57Z 2018-05-25T08:24:57Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/74998 en Nanyang Technological University 98 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering
spellingShingle DRNTU::Engineering
So, Jia Yi
A multi-objective evolutionary algorithm based on decomposition (MOEA/D) for the cellular manufacturing systems design problem
description Cellular Manufacturing Systems (CMS) are preferred layout for manufacturing factories due to its flexibility and adaptability to handle the dynamic and continuous changes of product demands. This project focused on proposing a method to solve multi-objective CMS facility layout problems (FLPs) that is capable to produce a Pareto Frontier of optimal solutions. The aim of this project is motivated by the research gap that past studies only targeted on combining the two conflicting objective functions of CMS FLPs and generate only one end result. However, it is noted that the decision maker preferred to choose from a set of solutions due to qualitative considerations. The author has proposed a multi-objective approach and successfully developed the corresponding algorithm to solve CMS FLPs. In comparison to a unified objective function methodology by past studies and two other metaheuristics, the author’s proposed approach outperforms with regards to solutions quality and computation time. Companies would be able to apply the author’s proposed approach for their own facility layout problems and obtained an efficient arrangement of machines, resulting in significant cost savings. There is room for exploration for this project such as modifying it to be able to generate solutions real time to suit frequent changes of part demands or allow the decision maker to play a part during solution generation process.
author2 Wu Kan
author_facet Wu Kan
So, Jia Yi
format Final Year Project
author So, Jia Yi
author_sort So, Jia Yi
title A multi-objective evolutionary algorithm based on decomposition (MOEA/D) for the cellular manufacturing systems design problem
title_short A multi-objective evolutionary algorithm based on decomposition (MOEA/D) for the cellular manufacturing systems design problem
title_full A multi-objective evolutionary algorithm based on decomposition (MOEA/D) for the cellular manufacturing systems design problem
title_fullStr A multi-objective evolutionary algorithm based on decomposition (MOEA/D) for the cellular manufacturing systems design problem
title_full_unstemmed A multi-objective evolutionary algorithm based on decomposition (MOEA/D) for the cellular manufacturing systems design problem
title_sort multi-objective evolutionary algorithm based on decomposition (moea/d) for the cellular manufacturing systems design problem
publishDate 2018
url http://hdl.handle.net/10356/74998
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