[1] Golony B. An interactive MOLP procedure for the extension of DEA to effectiveness analysis. Journal of Operational Research Society, 39, 725-34, (1988).##
[2] Stewart Theaodor J. Goal directed benchmarking for organizational efficiency. Omega, 38, 534-539, (2010).##
[3] Teimoory, A., Ahmady, M., Supply Chain Management, Iran University of Science and Technology. (1388).##
[4] Lambert, D. M., Cooper, M. C., Issues in supply chain management. Ind. Market Manag. 29, 65-83, (2000).##
[5] Cooper, M. C., Ellram, L. M., Gardner, J. T., Hanks, A. M., Meshing multiple alliances. J. Bus. Logist. 18, 67-89, (1997).##
[6] Zhu, J., Quantitative Models for Performance Evaluation and Benchmarking: Data Envelopment Analysis with Spreadsheets, Third Edition. Springer Cham Heidelberg New York Dordrecht London. ISBN 978-3-319-06647-9, (2014).##
[7] Seiford, L. M., Zhu, J., Profitability and marketability of the top 55 US commercial banks. Management Science, 45(9), 1270-1288, (1999).##
[8] Chen, Y., Zhu, J., Measuring information technology's indirect impact on firm performance. Information Technology & Management Journal, 5 (1-2), 9-22, (2004).##
[9] Fare, R., Grosskopf, S., Network DEA. Socio- Economic Planning Sciences, 34, 35-49, (2000).##
[10] Golany, B., Hackman, S. T., Passy, U., An efficiency measurement framework for multistage production systems. Annals of Operations Research, 145(1), 51-68, (2006).##
[11] Liang, L., Yang, F., Cook, W. D., Zhu, J., DEA models for supply chain efficiency evaluation. Annals of Operations Research, 145(1), 35-49, (2006).##
[12] 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(1), 418-429, (2008).##
[13] Liang, L., Cook, W. D., Zhu, J., DEA models for two- stage processes: Game approach and efficiency decomposition. Naval Research Logistics, 55, 643-653, (2008).##
[14] Chen, Y., Cook, W. K., Li, N., Zhu, J., Additive efficiency decomposition in two- stage DEA. European Journal of Operational Research, 196, 1170-1176, (2009).##
[15] Seiford, L. M., Zhu, J., Sensitivity and stability of the classification of returns to scale in data envelopment analysis. Journal of Productivity Analysis, 12(1), 55-75, (1999).##
[16] Liang, L., Yang, F., Cook, W. D., Zhu, J., DEA models for supply chain efficiency evaluation. Annals of Operations Research, 145(1), 35-49, (2006).##
[17] Chen, Y., Liang, L., Yang, F., A DEA game model approach to supply chain efficiency, Ann Oper Res. 145, 5–13, (2006).##
[18] Liang, L., Cook, W. D., Zhu, J., DEA models for two- stage processes: Game approach and efficiency decomposition. Naval Research Logistics, 55, 643-653, (2008).##
[19] Xu, J., Li, B., Wu, D., Rough data envelopment analysis and its application to supply chain performance evaluation. Int. J. Production Economics. 122, 628–638, (2009).##
[20] Yang, F., Wu, D., Liang, L., Bi, G., Wu, D.D., Supply chain DEA: production possibility set and performance evaluation model. Ann Oper Res. 185, 195–211, (2011).##
[21] Chen, C., Yan, H., Network DEA model for supply chain performance evaluation. European Journal of Operational Research. 213, 147–155, (2011).##
[22] Stefanovic, D., Stefanovic, N., Radenkovic, B., Supply network modeling and simulation methodology. Simulation Modelling Practice and Theory 17, 743-766, (2009).##
[23] Cheung, K. L., Hansman, W. H. An exact performance evaluation for the supplier in a two- echelon inventory system. Operations research, 48, 646-653, (2000).##
[24] John, S., Naim, M. M., Towill, D. R., Dynamic analysis of a WIP compensated decision support system. Int. J. Manuf. Syst. Des. 1, 283-297, (1994).##
[25] Campuzano, F., Model of the Demand Variability Management in the Supply Chain. Analysis of the Bullwhip Effect (in Spanish). PhD Thesis. University Politecnica de Valencia, Department of Business Management, CEL Price in 2006 to the Best Doctoral Dissertation, (2006).##
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