Sustainable supplier selection based on PD-HFLTS and group decision-making theory

被引：0
|
作者：
Mou N. [1 ]
Chang J. [2 ]
Chen Z. [3 ,4 ]
机构：
[1] School of Transportation and Logistics, Southwest Jiaotong University, Chengdu
[2] School of Business Planning, Chongqing Technology and Business University, Chongqing
[3] School of Civil and Architectural Engineering, Wuhang University, Wuhan
[4] Department of Systems Engineering and Engineering Management, College of Science and Engineering, City University of Hong Kong, Hong Kong
来源：
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2018年 / 24卷 / 05期
关键词：
Analytic hierarchy process; Group decision-making theory; Group opinion consensus detecting and adjustment algorithm; Possibility distribution-hesitant fuzzy linguistic term set; Sustainable supplier selection; Three-phase decision making method; Triple bottom line;
D O I：
10.13196/j.cims.2018.05.020
中图分类号：
学科分类号：
摘要：
Sustainable supplier selection plays a vital role in the sustainable supply chain. According to the triple bottom line principle of sustainable supply chain management, the assessment criteria system was constructed from the following three aspects: social performance, environmental performance and economic performance. By considering the advantages of Possibility Distribution-Hesitant Fuzzy Linguistic Term Set (PD-HFLTS) in characterizing the uncertain assessment information and the group decision-making theory in improving the credibility and reliability of selection result, an improved Analytic Hierarchy Process(AHP) method based on PD-HFLTS and group decision-making theory was put forward to determine the weight of assessment criteria, and then a three-phase group decision making method based on PD-HFLTS was raised to reduce the complexity of sustainable supplier selection. Furthermore, a new combination weighting method which considered the prior information of experts, the fuzzy degree of assessment information and the group consensus degree given by experts was presented to determine the weights of experts; the group opinion consensus detecting and adjustment algorithm was proposed to reducing the group opinion conflict level. The feasibility and efficiency of the proposed method was illustrated by the example of the sustainable component supplier's selection of an automobile manufacturing enterprise. © 2018, Editorial Department of CIMS. All right reserved.
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页码：1261 / 1278
页数：17
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