Planning approach for product-extension service based on multi-objective optimization

被引：0
|
作者：
Geng X. [1 ]
Qiu H. [1 ]
机构：
[1] Business School, University of Shanghai for Science & Technology, Shanghai
来源：
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2018年 / 24卷 / 08期
基金：
中国国家自然科学基金;
关键词：
Grey rate correlation grade; Hesitant fuzzy linguistic term set; Multi-objective optimization; Product-extension service; Quality function deployment;
D O I：
10.13196/j.cims.2018.08.018
中图分类号：
学科分类号：
摘要：
To manage the problem that customers/experts hesitated between several values, Hesitant Fuzzy Linguistic Term Set (HFLTS) and QFD were employed to translate the Customer Requirements (CRs) and their importance degrees into PES functional requirements and their importance degrees. Two aggregation operators, min-upper and max-lower were used to deal with the problem brought by the inconsistent granularity among different hesitant fuzzy linguistic terms. The method of two-tuple linguistic was applied to transfer HFLTS into interval-valued number. The preference degree of interval utilities was provided to compute the importance degrees of CRs and those of PES functional requirements. By quantifying the qualitative candidate attributes, a multi-objective and multi-constrained optimization model to maximize customer satisfaction and minimize service cost and service response time was established, which transformed into a single objective model by grey rate for solving. An example of service functional requirements optimization for controlled machine tools was given out to demonstrate the effectiveness of the proposed approach. © 2018, Editorial Department of CIMS. All right reserved.
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页码：2061 / 2070
页数：9
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