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An Enhanced Multiobjective Double Row Layout Model considering the Machine Breakdowns
Machine breakdowns (MB) often occur, resulting in changes in the production layout and the material flow and causing a surge in production cost. Obviously, it is imperative to consider MB in workshop layout. Scholars mainly focus on the double row layout problem in an ideal nonfailure condition whil...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9441348/ https://www.ncbi.nlm.nih.gov/pubmed/36072754 http://dx.doi.org/10.1155/2022/6289609 |
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author | Duan, Shengze Kang, Ling |
author_facet | Duan, Shengze Kang, Ling |
author_sort | Duan, Shengze |
collection | PubMed |
description | Machine breakdowns (MB) often occur, resulting in changes in the production layout and the material flow and causing a surge in production cost. Obviously, it is imperative to consider MB in workshop layout. Scholars mainly focus on the double row layout problem in an ideal nonfailure condition while scarcely considering MB mentioned above in the layout field. This paper proposes an enhanced multiobjective double row layout model considering MB (MDRLP-MB) to fill the research gaps. That model adds redundancy to reduce the losses caused by machine failure based on the prediction of breakdowns. In MDRLP-MB, machines with the same machine type have the same size and failure rate. Besides, this paper redefines the biobjectives of material handling costs (MHC) and the utilization ratio based on the feature of MDRLP-MB. To reduce the complexity of the problem, a decision rule is developed to reduce the alternative machine types. Furthermore, it revises the NSGA-II to solve the MDRLP-MB effectively. Results of numerical experiments and application cases show MDRLP-MB can obtain the optimal set of Pareto solutions in the case of increasing different numbers of redundancy considering MB to provide a more refined layout scheme for decision making. |
format | Online Article Text |
id | pubmed-9441348 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-94413482022-09-06 An Enhanced Multiobjective Double Row Layout Model considering the Machine Breakdowns Duan, Shengze Kang, Ling Comput Intell Neurosci Research Article Machine breakdowns (MB) often occur, resulting in changes in the production layout and the material flow and causing a surge in production cost. Obviously, it is imperative to consider MB in workshop layout. Scholars mainly focus on the double row layout problem in an ideal nonfailure condition while scarcely considering MB mentioned above in the layout field. This paper proposes an enhanced multiobjective double row layout model considering MB (MDRLP-MB) to fill the research gaps. That model adds redundancy to reduce the losses caused by machine failure based on the prediction of breakdowns. In MDRLP-MB, machines with the same machine type have the same size and failure rate. Besides, this paper redefines the biobjectives of material handling costs (MHC) and the utilization ratio based on the feature of MDRLP-MB. To reduce the complexity of the problem, a decision rule is developed to reduce the alternative machine types. Furthermore, it revises the NSGA-II to solve the MDRLP-MB effectively. Results of numerical experiments and application cases show MDRLP-MB can obtain the optimal set of Pareto solutions in the case of increasing different numbers of redundancy considering MB to provide a more refined layout scheme for decision making. Hindawi 2022-08-28 /pmc/articles/PMC9441348/ /pubmed/36072754 http://dx.doi.org/10.1155/2022/6289609 Text en Copyright © 2022 Shengze Duan and Ling Kang. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Duan, Shengze Kang, Ling An Enhanced Multiobjective Double Row Layout Model considering the Machine Breakdowns |
title | An Enhanced Multiobjective Double Row Layout Model considering the Machine Breakdowns |
title_full | An Enhanced Multiobjective Double Row Layout Model considering the Machine Breakdowns |
title_fullStr | An Enhanced Multiobjective Double Row Layout Model considering the Machine Breakdowns |
title_full_unstemmed | An Enhanced Multiobjective Double Row Layout Model considering the Machine Breakdowns |
title_short | An Enhanced Multiobjective Double Row Layout Model considering the Machine Breakdowns |
title_sort | enhanced multiobjective double row layout model considering the machine breakdowns |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9441348/ https://www.ncbi.nlm.nih.gov/pubmed/36072754 http://dx.doi.org/10.1155/2022/6289609 |
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