GREEN SUPPLER SELECTION BY AN INTEGRATED METHOD WITH STOCHASTIC ACCEPTABILITY ANALYSIS AND MULTIMOORA

Author:

Mi Xiaomei1ORCID,Liao Huchang2ORCID,Liao Yi3ORCID,Lin Qi4,Lev Benjamin5ORCID,Al-Barakati AbdullahI6ORCID

Affiliation:

1. Business School, Sichuan University, 610064 Chengdu, China

2. Business School, Sichuan University, 610064 Chengdu, China; Faculty of Computing and Information Technology, King Abdulaziz University, 21589 Jeddah, Saudi Arabia

3. School of Business Administration, Southwestern University of Finance and Economics, 610074 Chengdu, China

4. School of Economics and Management, Beihang University, 100191 Beijing, China; Decision Sciences Department, LeBow College of Business, Drexel University, PA 19104 Philadelphia, USA

5. Decision Sciences Department, LeBow College of Business, Drexel University, PA 19104 Philadelphia, USA

6. Faculty of Computing and Information Technology, King Abdulaziz University, 21589 Jeddah, Saudi Arabia

Abstract

In the process of supplier selection for green supply chain management, uncertain information may appear in alternatives’ performances or experts’ preferences. The stochastic multicriteria acceptability analysis (SMAA) is a beneficial technique to tackling the uncertain information in such a problem and the MULTIMOORA is a robust technique to aggregate alternatives’ utilities. This study dedicates to proposing an SMAA-MULTIMOORA method by considering the advantages of both methods. The integrated method can accept uncertain information as inputs. The steps of the SMAA-MULTIMOORA are illustrated. A case study about the selection of green suppliers is given to show the validity and robustness of the SMAA-MULTIMOORA method.

Publisher

Vilnius Gediminas Technical University

Subject

Finance

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