Improving supply chain collaborations and performance of inefficient supply chain
Subject Areas : Data Envelopment Analysisم. صانعی 1 , S. Mamizadeh-Chatghayeh 2
1 - Department of Mathematics, Islamic Azad University of Central Tehran Branch, Tehran, Iran
2 - Young researches club, Islamic azad university,Central Tehran branch, Tehran, Iran
Keywords:
Abstract :
[1] Chen Y., Cook W.D., Li N., & Zhu J., Deriving the DEA frontier for two-stage processes . European Journal of Operational Research, 196(1) 1170-1176, 2009.
[2] Kao C., Hwang S. N., "Efficiency decomposition in two-stage data envelopment analysis: An application to non-life insurance companies in Taiwan," European Journal of Operational Research 185, 418-429, 2008.
[3] Kim S., Smari W.W., On a collaborative commerce framework and architecture for next generation commerce. In:Proceedings of the 2005 International Symposium on Collaborative Technologies andSystems,pp.282–289, 2005. Availableat /http://ieeexplore.ieee.org/xpl/.
[4] Kumar M., Vrat P., Shankar R., A fuzzy goal programming approach for vendor selection problem in a supply chain . Computers &Industrial Engineering 46 (1), 69–85, 2004.
[5] Mentzer J.T., et al. (2001): Defining Supply Chain Management, in: Journal of Business Logistics, 22(2), 1 25, 2001.
[6] Weber, Charles A., Desai, Anand, Non-cooperative negotiation strategies for vendor selection . European Journal of Operational Research 108, 208–223, 1998.
[7] Yang F.Wu., D.Liang, L.Bi, G.,& Wu, D,D.(2009). Supply chain DEA :production possibility set and performance evaluation model. Annals of operation research,DOI 10.1007/s10479-008-0511-2