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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Main Authors: Peng Liu, Caiyun Liu, Xiaoling Wei
Format: Article
Language:English
Published: Wiley 2021-01-01
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.
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institution Kabale University
issn 1607-887X
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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