Product process scheme green selection based on rough fuzzy number and coupling analysis

被引：0
|
作者：
An X. [1 ]
Zhou L. [1 ]
Zhang L. [1 ]
机构：
[1] School of Mechanical and Power Engineering, Dalian Ocean University, Dalian
来源：
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2020年 / 26卷 / 11期
关键词：
Choquet integral; Coupling analysis; Domination analytical hierarchy process; Green manufacturing; Process parameter scheme evaluation; Rough fuzzy number;
D O I：
10.13196/j.cims.2020.11.016
中图分类号：
学科分类号：
摘要：
Orienting to problems about product process scheme selection under green manufacturing circumstances, a novel integrated multi-attribute decision method including rough fuzzy number, domination analytical hierarchy process, Choquet integral and correlative coupling analysis technology was proposed. To deal with the fuzzy, uncertainty evaluation information of performance targets' weight data effectively, the rough fuzzy number in form of interval was adopted to characterize relative importance degree of performance target, and then the rough fuzzy pairwise comparation matrix was constructed. The pairwise comparation matrix was optimized and solved by strength Pareto evolutionary algorithm to get importance degree weight of performance targets. There were much complicated interrelated influences between performance targets, and those influences affected green process scheme evaluation. Hence sensitivity analysis and Lagrange interpolation fitting tool were employed to determine coupling degree. Choquet integral was introduced to aggregate measured value of performance targets and importance degree of performance targets, so greenness degree of process scheme evaluation could be calculated thoroughly, and the greenest process scheme was selected. A case study of green injection moulding process scheme evaluation for a fan shell was offered to illustrate the practicability and validation of the proposed method. © 2020, Editorial Department of CIMS. All right reserved.
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页码：3057 / 3067
页数：10
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