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

Civil Engineering

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