Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/15475
Title: Multi-perspective strategic supplier selection in uncertain environments
Authors: Chai, J
Ngai, EWT 
Keywords: Hesitant fuzzy sets
Preference analysis
Strategic decision making
Supplier selection
Issue Date: 2015
Publisher: Elsevier
Source: International journal of production economics, 2015, v. 166, p. 215-225 How to cite?
Journal: International journal of production economics 
Abstract: In this study, we examine the issue of strategic supplier selection in uncertain decision environments. In contrast to conventional supplier selection, strategic supplier selection comprehensively considers various influencing factors, such as supplier quality and offered price, as well as company strategies, uncertain environments, and human factors. Using a detailed literature review, we investigate the employment of human preference in supplier selection, including preference representation, modeling, and computation. To achieve successful strategic supplier selection, we propose a soft decision model involving multiple stakeholders and multiple perspectives. Founded on interval and hesitant fuzzy methodology, this novel model shows significant capabilities in handling ambiguous judgments of stakeholders and unbiased value preservation of conflicting opinions. The settings of this model guarantee that the selection process strictly conforms to the diverse strategies of the company and is applicable for a flexible number of stakeholders. We also provide numerical illustrations via a case study. To the best of our knowledge, this study is the first to perform theoretical decision modeling using interval and hesitant fuzzy methodology for strategic supplier selection. In addition, the proposed research framework and systematic investigations on preference elicitation theoretically facilitate knowledge accumulation and necessarily supplement previous studies on strategic supplier selection by providing research trends.
URI: http://hdl.handle.net/10397/15475
ISSN: 0925-5273
DOI: 10.1016/j.ijpe.2014.09.035
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