Supplier selection based on evidence theory and analytic network process

Zhang, Xiaoge; Deng, Yong; Chan, Felix T.S.; Mahadevan, Sankaran; Adamatzky, Andrew

Abstract

© IMechE 2014. The supplier selection is a key component of the supply chain management. Existing methods for the supplier selection are based on analytic network process. They can handle the interdependence of decision attributes; however, these methods could not guarantee an optimal solution when given vague or incomplete input data. To deal with the uncertainties of input data, we propose methods combining analytic network process with Dempster'Shafer evidence theory. We demonstrate efficiency and accuracy of the proposed method in a numerical example. We demonstrate that the proposed method is flexible and effective in dealing with the supplier selection problem.

• Journal Article Type: Article
• Acceptance Date: Aug 6, 2014
• Online Publication Date: Nov 12, 2014
• Publication Date: Mar 1, 2016
• Deposit Date: Jun 3, 2019
• Journal: Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
• Print ISSN: 0954-4054
• Electronic ISSN: 2041-2975
• Publisher: SAGE Publications
• Peer Reviewed: Peer Reviewed
• Volume: 230
• Issue: 3
• Pages: 562-573
• DOI: https://doi.org/10.1177/0954405414551105
• Public URL: https://uwe-repository.worktribe.com/output/913510
• Publisher URL: https://doi.org/10.1177/0954405414551105
• Contract Date: Jun 3, 2019