Joint Optimization of Multiprocess Routes and Layout for Low Entropy Flexible Facility

Facility layout is not only the premise of production, but also a breakthrough for manufacturing industry to realize energy saving, environmental protection, and low entropy development. On the one hand, considering the interaction between product process routes and facility layout, a joint optimiza...

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Autores principales:	Hongtao Tang, Senli Ren, Weiguang Jiang, Jiajiong Liang, Qingfeng Chen
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Computer applications to medicine. Medical informatics R858-859.7 Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
Acceso en línea:	https://doaj.org/article/463de0ae3e7346e99ba6b337155655ae
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spelling	oai:doaj.org-article:463de0ae3e7346e99ba6b337155655ae2021-11-08T02:35:56ZJoint Optimization of Multiprocess Routes and Layout for Low Entropy Flexible Facility1687-527310.1155/2021/3972772https://doaj.org/article/463de0ae3e7346e99ba6b337155655ae2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/3972772https://doaj.org/toc/1687-5273Facility layout is not only the premise of production, but also a breakthrough for manufacturing industry to realize energy saving, environmental protection, and low entropy development. On the one hand, considering the interaction between product process routes and facility layout, a joint optimization model is proposed. The model aims to minimize the total logistics cost and consider the global optimization of facility layout and process route planning. On the other hand, considering the application of low entropy concept in facility layout, the analytic network process (ANP) is used to evaluate the low entropy layout. In the choice of the final facility layout, the algorithm results and expert knowledge are considered comprehensively to make up for the shortcomings of the model in the design of qualitative indicators. The algorithm innovation of this paper is to use genetic algorithm (GA) and particle swarm optimization (PSO) to search the solution of product process routes and facility layout simultaneously, to ensure the overall optimal solution of the two decision variables. Finally, an example is given to compare the joint optimization results with the independent optimization results, and the effectiveness of the joint optimization method is verified.Hongtao TangSenli RenWeiguang JiangJiajiong LiangQingfeng ChenHindawi LimitedarticleComputer applications to medicine. Medical informaticsR858-859.7Neurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENComputational Intelligence and Neuroscience, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Computer applications to medicine. Medical informatics R858-859.7 Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
spellingShingle	Computer applications to medicine. Medical informatics R858-859.7 Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Hongtao Tang Senli Ren Weiguang Jiang Jiajiong Liang Qingfeng Chen Joint Optimization of Multiprocess Routes and Layout for Low Entropy Flexible Facility
description	Facility layout is not only the premise of production, but also a breakthrough for manufacturing industry to realize energy saving, environmental protection, and low entropy development. On the one hand, considering the interaction between product process routes and facility layout, a joint optimization model is proposed. The model aims to minimize the total logistics cost and consider the global optimization of facility layout and process route planning. On the other hand, considering the application of low entropy concept in facility layout, the analytic network process (ANP) is used to evaluate the low entropy layout. In the choice of the final facility layout, the algorithm results and expert knowledge are considered comprehensively to make up for the shortcomings of the model in the design of qualitative indicators. The algorithm innovation of this paper is to use genetic algorithm (GA) and particle swarm optimization (PSO) to search the solution of product process routes and facility layout simultaneously, to ensure the overall optimal solution of the two decision variables. Finally, an example is given to compare the joint optimization results with the independent optimization results, and the effectiveness of the joint optimization method is verified.
format	article
author	Hongtao Tang Senli Ren Weiguang Jiang Jiajiong Liang Qingfeng Chen
author_facet	Hongtao Tang Senli Ren Weiguang Jiang Jiajiong Liang Qingfeng Chen
author_sort	Hongtao Tang
title	Joint Optimization of Multiprocess Routes and Layout for Low Entropy Flexible Facility
title_short	Joint Optimization of Multiprocess Routes and Layout for Low Entropy Flexible Facility
title_full	Joint Optimization of Multiprocess Routes and Layout for Low Entropy Flexible Facility
title_fullStr	Joint Optimization of Multiprocess Routes and Layout for Low Entropy Flexible Facility
title_full_unstemmed	Joint Optimization of Multiprocess Routes and Layout for Low Entropy Flexible Facility
title_sort	joint optimization of multiprocess routes and layout for low entropy flexible facility
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/463de0ae3e7346e99ba6b337155655ae
work_keys_str_mv	AT hongtaotang jointoptimizationofmultiprocessroutesandlayoutforlowentropyflexiblefacility AT senliren jointoptimizationofmultiprocessroutesandlayoutforlowentropyflexiblefacility AT weiguangjiang jointoptimizationofmultiprocessroutesandlayoutforlowentropyflexiblefacility AT jiajiongliang jointoptimizationofmultiprocessroutesandlayoutforlowentropyflexiblefacility AT qingfengchen jointoptimizationofmultiprocessroutesandlayoutforlowentropyflexiblefacility
_version_	1718443179027464193

Joint Optimization of Multiprocess Routes and Layout for Low Entropy Flexible Facility

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