How to cite this paper
Khamseh, A & Zahmatkesh, D. (2015). Supply chain performance evaluation using robust data envelopment analysis.Uncertain Supply Chain Management, 3(3), 311-320.
Refrences
Adida, E., & Perakis, G. (2006). A robust optimization approach to dynamic pricing and inventory control with no backorders. Mathematical Programing, 107(1), 97–129.
Amin, S.H., & Zhang, G. (2012). A proposed mathematical model for closed-loop network configuration based on product life cycle. International Journal of Advanced Manufacturing Technology, 58(5-8), 791-801.
Azoulay-Schwartz, R., Kraus, S., & Wilkenfeld, J. (2004). Exploitation vs. exploration: choosing a supplier in an environment of incomplete information. Decision Support System, 38(1), 1-18.
Barbarosoglu, G., & Yazgac, T. (1997). An application of the analytic hierarchy process to the supplier selection problem. Journal of Production Innovation Management, 38 (1), 14-21.
Ben-Tal, A., & Nemirovski, A. (2000).Robust solutions of linear programming problems contaminated with uncertain data. Mathematical Programming, 88(3), 411–424.
Ben-Tal,A., & Nemirovski, A. (1998). Robust convex optimization. Journal of Mathematical Operations Research, 23(4), 769–805.
Cebi, F., & Bayraktar, D. (2003). An integrated approach for supplier selection. Logistics Information Management, 16(6), 395-400.
Chan, F.T.S. (2003). Performance measurement in a supply chain .International Journal of Advanced Manufacturing Technology, 21 (7), 534-548.
Chiang, T.A, & Che, Z.H. (2010). A fuzzy robust evaluation model for selecting and ranking NPD projects using Bayesian belief network and weight-restricted DEA. Expert Systems with Applications, 37(11), 7408–7418.
Chow, G., Heaver, T.D., & Henriksson, L.E. (1994). Logistics performance: definition and measurement. International Journal of Physical Distribution, 24(1), 17-28.
Easton, L., Murphy, D., & Pearson, N.J. (2002). Purchasing performance evaluation: with data envelopment analysis. European Journal of Purchasing & Supply Management, 8(3),123-134.
El-Ghaoui, L., Oustry, F., & Lebret, H. (1998). Robust solutions to uncertain semidefinite programs. SIAM Journal of Optimization, 9(1), 33–52.
Gabrel, V., Murat, C., & Thiele, A. (2012). Recent advances in robust optimization and robustness: An overview, http://www.optimization-online.org.
Jahanshahloo, G.R., Pourkarimi, L., & Zarepishe, M. (2006). Modified MAJ model for ranking decision making units in data envelopment analysis. Applied Mathematical Computation, 174(2), 1054-1059.
Khezrimotlagh, D., Salleh,S., & Mohsenpour, Z. (2013). A new robust mixed integer-valued model in DEA. Applied Mathematical Modelling, 37(24), 1-13.
Kleinsorge, K.I. (1992). Data envelopment analysis for monitoring customer-supplier relationships. Journal of Accounting and Public Policy, 11(4), 357-372.
Kumar, M., Vrat, P., & Shankar, R. (2004). A Fuzzy goal programming approach for vendor selection problem in a supply chain. Computers and Industrial Engineering, 46 (1), 69-85.
Lummus, R., & Vokurka, R. (1999). Defining supply chain management: A historical perspective and practical guide line. Industrial Management and Data System, 99(1), 11-17.
Mahmoudzadeh, M. Sadjadi, S.J., & Mansour, S. (2013).Robust optimal dynamic production/pricing policies in a closed-loop system. Applied Mathematical Modelling, 37(16-17), 8141–8161.
Narasimhan, R., Tallurai, S., & Mendez, D. (2001). Supplier evaluation and rationalization via data envelopment analysis: an empirical examination. Supply Chain Management, 37 (3), 28-37.
Ohdar, R., & Ray, P.K. (2004). Performance measurement and evaluation of suppliers in supply chain: an evolutionary fuzzy-based approach. Journal of Manufacturing Technology, 15 (8), 723-734.
Quariguasi FrotaNeto, J. (2007). A methodology for assessing eco-efficiency in logistics networks. European Journal of Operational Research, 193(3), 670-682.
Ross, A., & Droge, C. (2002). An integrated benchmarking approach to distribution center performance using DEA modeling. Journal of Operations Management, 20(1), 19-32.
Soltani, R., & Sadjadi, S.J. (2010). Scheduling trucks in cross-docking systems: A robust meta-heuristics approach. Transportation Research Part E, 46(5), 650–666.
Sadjadi, S.J., & Omrani, H. (2010). A bootstrapped robust data envelopment analysis model for efficiency estimating of telecommunication companies in Iran. Telecommunications Policy, 34(4), 221–232.
Sadjadi , S.J. , Omrani , H. , Abdollahzadeh , S. , Alinaghian , M. , & Mohammadi, H.(2011). A robust super-efficiency data envelopment analysis model for ranking of provincial gas companies in Iran. Expert Systems with Applications, 38(9), 10875–10881.
Sadjadi, S.J., & Omrani, H. (2008). Data envelopment analysis with uncertain data: An application for Iranian electricity distribution companies. Energy Policy, 36(11), 4247–4254.
Sadjadi, S.J., Omrani, H., Makui, A., & Shahanaghi, K. (2011). An interactive robust data envelopment analysis model for determining alternative targets in Iranian electricity distribution companies. Expert Systems with Applications, 38(8), 9830–9839.
Sadjadi,S.J ,Gharakhani,M., & Safari,E.(2012). Robust optimization framework for cardinality constrained portfolio problem. Applied Soft Computing, 12(1), 91–99.
Sim, M. (2004). Robust Optimization. Ph.D. Dissertation, Massachusetts Institute of Technology, 15-40.
Sinuany-Stern, Z., Mehrez, A., & Hadad, Y. (2000). An AHP/DEA methodology for ranking decision making units. International Transactions in Operational Research, 7(2), 109-124.
Talluria, S., Narasimhan, R., & Anand, N. (2006). Vendor performance with supply risk: a chanced-constrained DEA approach. International Journal of Production Economics, 100(2), 212-222.
Weber, A.C., & Desai, A. (1998). Non-cooperative negotiation strategies for vendor selection. European Journal of Operational Research, 108(1), 208-223.
Wu, D., Xu, J., & Li, B. (2009). Rough data envelopment analysis and its application to supply chain performance evaluation. International Journal of Production Economics, 122(2), 628-638.
Wu, D., & Olson, L.D. (2008). A comparison of stochastic dominance and stochastic DEA for vendor evaluation. International Journal of Production Research, 46(8), 2313-2327.
Amin, S.H., & Zhang, G. (2012). A proposed mathematical model for closed-loop network configuration based on product life cycle. International Journal of Advanced Manufacturing Technology, 58(5-8), 791-801.
Azoulay-Schwartz, R., Kraus, S., & Wilkenfeld, J. (2004). Exploitation vs. exploration: choosing a supplier in an environment of incomplete information. Decision Support System, 38(1), 1-18.
Barbarosoglu, G., & Yazgac, T. (1997). An application of the analytic hierarchy process to the supplier selection problem. Journal of Production Innovation Management, 38 (1), 14-21.
Ben-Tal, A., & Nemirovski, A. (2000).Robust solutions of linear programming problems contaminated with uncertain data. Mathematical Programming, 88(3), 411–424.
Ben-Tal,A., & Nemirovski, A. (1998). Robust convex optimization. Journal of Mathematical Operations Research, 23(4), 769–805.
Cebi, F., & Bayraktar, D. (2003). An integrated approach for supplier selection. Logistics Information Management, 16(6), 395-400.
Chan, F.T.S. (2003). Performance measurement in a supply chain .International Journal of Advanced Manufacturing Technology, 21 (7), 534-548.
Chiang, T.A, & Che, Z.H. (2010). A fuzzy robust evaluation model for selecting and ranking NPD projects using Bayesian belief network and weight-restricted DEA. Expert Systems with Applications, 37(11), 7408–7418.
Chow, G., Heaver, T.D., & Henriksson, L.E. (1994). Logistics performance: definition and measurement. International Journal of Physical Distribution, 24(1), 17-28.
Easton, L., Murphy, D., & Pearson, N.J. (2002). Purchasing performance evaluation: with data envelopment analysis. European Journal of Purchasing & Supply Management, 8(3),123-134.
El-Ghaoui, L., Oustry, F., & Lebret, H. (1998). Robust solutions to uncertain semidefinite programs. SIAM Journal of Optimization, 9(1), 33–52.
Gabrel, V., Murat, C., & Thiele, A. (2012). Recent advances in robust optimization and robustness: An overview, http://www.optimization-online.org.
Jahanshahloo, G.R., Pourkarimi, L., & Zarepishe, M. (2006). Modified MAJ model for ranking decision making units in data envelopment analysis. Applied Mathematical Computation, 174(2), 1054-1059.
Khezrimotlagh, D., Salleh,S., & Mohsenpour, Z. (2013). A new robust mixed integer-valued model in DEA. Applied Mathematical Modelling, 37(24), 1-13.
Kleinsorge, K.I. (1992). Data envelopment analysis for monitoring customer-supplier relationships. Journal of Accounting and Public Policy, 11(4), 357-372.
Kumar, M., Vrat, P., & Shankar, R. (2004). A Fuzzy goal programming approach for vendor selection problem in a supply chain. Computers and Industrial Engineering, 46 (1), 69-85.
Lummus, R., & Vokurka, R. (1999). Defining supply chain management: A historical perspective and practical guide line. Industrial Management and Data System, 99(1), 11-17.
Mahmoudzadeh, M. Sadjadi, S.J., & Mansour, S. (2013).Robust optimal dynamic production/pricing policies in a closed-loop system. Applied Mathematical Modelling, 37(16-17), 8141–8161.
Narasimhan, R., Tallurai, S., & Mendez, D. (2001). Supplier evaluation and rationalization via data envelopment analysis: an empirical examination. Supply Chain Management, 37 (3), 28-37.
Ohdar, R., & Ray, P.K. (2004). Performance measurement and evaluation of suppliers in supply chain: an evolutionary fuzzy-based approach. Journal of Manufacturing Technology, 15 (8), 723-734.
Quariguasi FrotaNeto, J. (2007). A methodology for assessing eco-efficiency in logistics networks. European Journal of Operational Research, 193(3), 670-682.
Ross, A., & Droge, C. (2002). An integrated benchmarking approach to distribution center performance using DEA modeling. Journal of Operations Management, 20(1), 19-32.
Soltani, R., & Sadjadi, S.J. (2010). Scheduling trucks in cross-docking systems: A robust meta-heuristics approach. Transportation Research Part E, 46(5), 650–666.
Sadjadi, S.J., & Omrani, H. (2010). A bootstrapped robust data envelopment analysis model for efficiency estimating of telecommunication companies in Iran. Telecommunications Policy, 34(4), 221–232.
Sadjadi , S.J. , Omrani , H. , Abdollahzadeh , S. , Alinaghian , M. , & Mohammadi, H.(2011). A robust super-efficiency data envelopment analysis model for ranking of provincial gas companies in Iran. Expert Systems with Applications, 38(9), 10875–10881.
Sadjadi, S.J., & Omrani, H. (2008). Data envelopment analysis with uncertain data: An application for Iranian electricity distribution companies. Energy Policy, 36(11), 4247–4254.
Sadjadi, S.J., Omrani, H., Makui, A., & Shahanaghi, K. (2011). An interactive robust data envelopment analysis model for determining alternative targets in Iranian electricity distribution companies. Expert Systems with Applications, 38(8), 9830–9839.
Sadjadi,S.J ,Gharakhani,M., & Safari,E.(2012). Robust optimization framework for cardinality constrained portfolio problem. Applied Soft Computing, 12(1), 91–99.
Sim, M. (2004). Robust Optimization. Ph.D. Dissertation, Massachusetts Institute of Technology, 15-40.
Sinuany-Stern, Z., Mehrez, A., & Hadad, Y. (2000). An AHP/DEA methodology for ranking decision making units. International Transactions in Operational Research, 7(2), 109-124.
Talluria, S., Narasimhan, R., & Anand, N. (2006). Vendor performance with supply risk: a chanced-constrained DEA approach. International Journal of Production Economics, 100(2), 212-222.
Weber, A.C., & Desai, A. (1998). Non-cooperative negotiation strategies for vendor selection. European Journal of Operational Research, 108(1), 208-223.
Wu, D., Xu, J., & Li, B. (2009). Rough data envelopment analysis and its application to supply chain performance evaluation. International Journal of Production Economics, 122(2), 628-638.
Wu, D., & Olson, L.D. (2008). A comparison of stochastic dominance and stochastic DEA for vendor evaluation. International Journal of Production Research, 46(8), 2313-2327.