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Improving supply chain collaborations and performance of inefficient supply chain | ||
Iranian Journal of Optimization | ||
مقاله 8، دوره 4، شماره 2، مهر 2012، صفحه 354-360 اصل مقاله (429.13 K) | ||
نوع مقاله: Research Paper | ||
نویسندگان | ||
M. Sanei* 1؛ S. Mamizadeh-Chatghayeh2 | ||
1Department of Mathematics, Islamic Azad University of Central Tehran Branch, Tehran, Iran | ||
2Young researches club, Islamic azad university,Central Tehran branch, Tehran, Iran | ||
چکیده | ||
Modern manufacturing enterprises are required to collaborate by their business partners through their business process operations such as design, manufacture, distribution, and aftersales services. And furthermore performance evaluation is of great importance for effective supply chain man agement. Therefore, DEA can help companies to remove some of the in efficiencies in operational processes in order to become more effective. The current paper develops one approach for determining the DEA projections for inefficient supply chains. Meanwhile this approach aims at providing an easy, efficient and more practical approach based on the performance evaluation for the multi-member supply chain. And ultimately, this model is illustrated by an numerical example of Chinese commercial bank, and case study application to provide of machine-making supply chain. | ||
کلیدواژهها | ||
Data Envelopment Analysis (DEA). Supply Chain Management (SCM). Intermediate products. Efficiency | ||
مراجع | ||
[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 | ||
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