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Journal article
GREEN SUPPLER SELECTION BY AN INTEGRATED METHOD WITH STOCHASTIC ACCEPTABILITY ANALYSIS AND MULTIMOORA
Technological and economic development of economy, v 26(3), pp 549-572
01 Jan 2020
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.
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- Title
- GREEN SUPPLER SELECTION BY AN INTEGRATED METHOD WITH STOCHASTIC ACCEPTABILITY ANALYSIS AND MULTIMOORA
- Creators
- Xiaomei Mi - Sichuan UniversityHuchang Liao - King Abdulaziz UniversityYi Liao - Southwestern Univ Finance & Econ, Sch Business Adm, Chengdu 610074, Peoples R ChinaQi Lin - School of Economics and Management, Beihang University, 100191 Beijing, China; Decision Sciences Department, #N# LeBow College of Business, Drexel University, PA 19104 Philadelphia, USABenjamin Lev - Drexel UniversityAbdullah Al-Barakati - King Abdulaziz University
- Publication Details
- Technological and economic development of economy, v 26(3), pp 549-572
- Publisher
- Vilnius Gediminas Tech Univ
- Number of pages
- 24
- Grant note
- 71771156; 71971145 / National Natural Science Foundation of China; National Natural Science Foundation of China (NSFC) RG-10-611-39 / Deanship of Scientific Research (DSR) at King Abdulaziz University, Jeddah
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Decision Sciences (and Management Information Systems)
- Web of Science ID
- WOS:000546133500002
- Other Identifier
- 991019168070304721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Economics