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A Hybrid Multiple Criteria Decision Making Model for Supplier Selection
Joint Authors
Wu, Chung-Min
Hsieh, Ching-Lin
Chang, Kuei-Lun
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-09-05
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
The sustainable supplier selection would be the vital part in the management of a sustainable supply chain.
In this study, a hybrid multiple criteria decision making (MCDM) model is applied to select optimal supplier.
The fuzzy Delphi method, which can lead to better criteria selection, is used to modify criteria.
Considering the interdependence among the selection criteria, analytic network process (ANP) is then used to obtain their weights.
To avoid calculation and additional pairwise comparisons of ANP, a technique for order preference by similarity to ideal solution (TOPSIS) is used to rank the alternatives.
The use of a combination of the fuzzy Delphi method, ANP, and TOPSIS, proposing an MCDM model for supplier selection, and applying these to a real case are the unique features of this study.
American Psychological Association (APA)
Wu, Chung-Min& Hsieh, Ching-Lin& Chang, Kuei-Lun. 2013. A Hybrid Multiple Criteria Decision Making Model for Supplier Selection. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1009040
Modern Language Association (MLA)
Wu, Chung-Min…[et al.]. A Hybrid Multiple Criteria Decision Making Model for Supplier Selection. Mathematical Problems in Engineering No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-1009040
American Medical Association (AMA)
Wu, Chung-Min& Hsieh, Ching-Lin& Chang, Kuei-Lun. A Hybrid Multiple Criteria Decision Making Model for Supplier Selection. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1009040
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1009040