期刊
出版社
SAGE PUBLICATIONS LTD
DOI: 10.1177/0954405414551105
关键词
Supplier selection; analytical network process; Dempster-Shafer evidence theory; Dempster-Shafer; analytic network process
资金
- National Natural Science Foundation of China [61174022]
- R&D Program of China [2012BAH07B01]
- National High Technology Research and Development Program of China (863 Program) [2013AA013801]
- Science and Technology Planning Project of Guangdong Province, China [2010B010600034, 2012B091100192]
- Business Intelligence Key Team of Guangdong University of Foreign Studies [TD1202]
- State Key Laboratory of Virtual Reality Technology and Systems, Beihang University [BUAA-VR-14KF-02]
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.
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