Optimal Allocation of Shared Manufacturing Resources Based on Bilevel Programming
In the shared manufacturing environment, on the basis of in-depth analysis of the shared manufacturing process and the allocation process of manufacturing resources, a bilevel programming model for the optimal allocation of manufacturing resources considering the benefits of the shared manufacturing...
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Format: | Article |
Language: | English |
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Wiley
2021-01-01
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Series: | Discrete Dynamics in Nature and Society |
Online Access: | http://dx.doi.org/10.1155/2021/6474241 |
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author | Peng Liu Caiyun Liu Xiaoling Wei |
author_facet | Peng Liu Caiyun Liu Xiaoling Wei |
author_sort | Peng Liu |
collection | DOAJ |
description | In the shared manufacturing environment, on the basis of in-depth analysis of the shared manufacturing process and the allocation process of manufacturing resources, a bilevel programming model for the optimal allocation of manufacturing resources considering the benefits of the shared manufacturing platform and the rights of consumers is established. In the bilevel programming model, the flexible indicators representing the interests of the platform are the upper-level optimization target of the model and the Quality of Service (QoS) indicators representing the interests of consumers are the lower-level optimization goal. The weights of the upper indicators are determined by Analytic Hierarchy Process (AHP) and Improved Order Relation Analysis (Improved G1) combination weighting method and the bilevel programming model is solved by the Improved Fast Elitist Non-Dominated Sorting Genetic Algorithm (Improved NSGA-II). Finally, the effectiveness of the model is validated by a numerical example. |
format | Article |
id | doaj-art-cb44ce1608444a288e47d62a88c52f79 |
institution | Kabale University |
issn | 1607-887X |
language | English |
publishDate | 2021-01-01 |
publisher | Wiley |
record_format | Article |
series | Discrete Dynamics in Nature and Society |
spelling | doaj-art-cb44ce1608444a288e47d62a88c52f792025-02-03T01:21:19ZengWileyDiscrete Dynamics in Nature and Society1607-887X2021-01-01202110.1155/2021/6474241Optimal Allocation of Shared Manufacturing Resources Based on Bilevel ProgrammingPeng Liu0Caiyun Liu1Xiaoling Wei2School of ManagementSchool of ManagementSchool of ManagementIn the shared manufacturing environment, on the basis of in-depth analysis of the shared manufacturing process and the allocation process of manufacturing resources, a bilevel programming model for the optimal allocation of manufacturing resources considering the benefits of the shared manufacturing platform and the rights of consumers is established. In the bilevel programming model, the flexible indicators representing the interests of the platform are the upper-level optimization target of the model and the Quality of Service (QoS) indicators representing the interests of consumers are the lower-level optimization goal. The weights of the upper indicators are determined by Analytic Hierarchy Process (AHP) and Improved Order Relation Analysis (Improved G1) combination weighting method and the bilevel programming model is solved by the Improved Fast Elitist Non-Dominated Sorting Genetic Algorithm (Improved NSGA-II). Finally, the effectiveness of the model is validated by a numerical example.http://dx.doi.org/10.1155/2021/6474241 |
spellingShingle | Peng Liu Caiyun Liu Xiaoling Wei Optimal Allocation of Shared Manufacturing Resources Based on Bilevel Programming Discrete Dynamics in Nature and Society |
title | Optimal Allocation of Shared Manufacturing Resources Based on Bilevel Programming |
title_full | Optimal Allocation of Shared Manufacturing Resources Based on Bilevel Programming |
title_fullStr | Optimal Allocation of Shared Manufacturing Resources Based on Bilevel Programming |
title_full_unstemmed | Optimal Allocation of Shared Manufacturing Resources Based on Bilevel Programming |
title_short | Optimal Allocation of Shared Manufacturing Resources Based on Bilevel Programming |
title_sort | optimal allocation of shared manufacturing resources based on bilevel programming |
url | http://dx.doi.org/10.1155/2021/6474241 |
work_keys_str_mv | AT pengliu optimalallocationofsharedmanufacturingresourcesbasedonbilevelprogramming AT caiyunliu optimalallocationofsharedmanufacturingresourcesbasedonbilevelprogramming AT xiaolingwei optimalallocationofsharedmanufacturingresourcesbasedonbilevelprogramming |