Supplier Selection Based on Supplier Risk: an ANP and Fuzzy TOPSIS Approach


Authors

A. Shemshadi - Postgraduate student at the department of information technology & industrial engineering, K. N. Toosi University of Technology, Tehran, Iran M. Toreihi - Postgraduate student at the department of information technology & industrial engineering, K. N. Toosi University of Technology, Tehran, Iran H. Shirazi - Associate Professor at the department of information and communication technology, Malek Ashtar University of Technology, Tehran, Iran M. J. Tarokh - Associate Professor at the department of information technology & industrial engineering, K. N. Toosi University of Technology, Tehran, Iran


Abstract

Typically, supplier selection constitutes one of the most important stages of supply chain management and a variety of basic and hybrid MCDM approaches have been deployed to provide this problem with well-suited solutions. This paper investigates a new novel approach for this problem based on ANP and fuzzy TOPSIS methods while it takes into account the risk factor solely regarding the decision maker’s venture strategy. In addition to an ANP model that determines the effects of decision criteria, in the proposed approach, a set of 5 risk categories has been deployed to affect the decision maker’s choice by normalizing the weights of risk criteria.


Share and Cite

  • Share on Facebook
  • Share on Twitter
  • Share on LinkedIn
ISRP Style

A. Shemshadi, M. Toreihi, H. Shirazi, M. J. Tarokh, Supplier Selection Based on Supplier Risk: an ANP and Fuzzy TOPSIS Approach, Journal of Mathematics and Computer Science, 2 (2011), no. 1, 111--121

AMA Style

Shemshadi A., Toreihi M., Shirazi H., Tarokh M. J., Supplier Selection Based on Supplier Risk: an ANP and Fuzzy TOPSIS Approach. J Math Comput SCI-JM. (2011); 2(1):111--121

Chicago/Turabian Style

Shemshadi, A., Toreihi, M., Shirazi, H., Tarokh, M. J.. "Supplier Selection Based on Supplier Risk: an ANP and Fuzzy TOPSIS Approach." Journal of Mathematics and Computer Science, 2, no. 1 (2011): 111--121


Keywords


MSC


References