Language : English
周谧

Paper Publications

Remanufacturing Mode Selection Based on Non‑cooperative Behavior Management in Group Consensus Reaching Process

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DOI number:10.1007/s10726-024-09890-0

Journal:Group Decision and Negotiation(FMS B类,ABS 2星)

Key Words:Remanufacturing mode selection · Fuzzy distributed preference relation · Consensus reaching process · Non-cooperative behavior · Group decision making

Abstract:Remanufacturing has become one of the most important research topics in the manufacturing industry as it can efectively save costs, reduce environmental pollution and extend the lifecycle of products. The correct selection of remanufacturing mode is the key for enterprise. Previous studies usually constructed game models from the dynamic changes of single infuencing factors, which may ignore the infuence of interests among decision makers (DMs) and DMs’ non-cooperative behavior under group decision-making circumstances. The non-cooperative behavior processing method that comprehensively considers multiple attribute and group consensus to help enterprise to select the correct remanufacturing mode is a subject worthy of study. In this paper, we frst propose the concept of fuzzy distributed preference relation. It combines the fuzzy set theory and DPR, which is more suitable to express fuzzy and uncertain assessments in complex decision situations. Then, a consensus reaching model to analyze non-cooperative behaviors is proposed. The non-cooperative degrees on attribute, alternative and individual levels are constructed to identify and manage non-cooperative behaviors of DMs. Thirdly, DM’s reliability measurement method is proposed based on the consensus reaching model, and a suitable decision support procedure of remanufacturing mode selection is constructed. Finally, a case study of remanufacturing mode selection is provided to illustrate the efectiveness and validity of the proposed method.

Co-author:Xin‑Yu Fan(通讯作者),Ba‑Yi Cheng,Jian Wu

First Author:Mi Zhou

Indexed by:Journal paper

Discipline:Management Science

Document Type:J

Issue:33

Page Number:1191–1246

Translation or Not:no

Date of Publication:2024-07-16

Included Journals:SSCI