[1] Aitken, J. M. (1998). Supply chain integration within the context of a supplier association: case studies of four supplier associations (Doctoral dissertation, Cranfield University).
[2] Ghodsypour, S. H., & O’brien, C. (2001). The total cost of logistics in supplier selection, under conditions of multiple sourcing, multiple criteria and capacity constraint. International Journal of Production Economics, 73(1), 15-27.
[3] Goyal, S. K., & Gupta, Y. P. (1989). Integrated inventory models: the buyer-vendor coordination. European journal of operational research, 41(3), 261-269.
[4] Ben-Daya, M., Darwish, M., & Ertogral, K. (2008). The joint economic lot sizing problem: Review and extensions. European Journal of Operational Research, 185(2), 726-742.
[5] Goyal, S. K. (1977). An integrated inventory model for a single supplier-single customer problem. The International Journal of Production Research, 15(1), 107-111.
[6] Glock, C. H. (2011). A multiple-vendor single-buyer integrated inventory model with a variable number of vendors. Computers & Industrial Engineering, 60(1), 173-182.
[7] Taleizadeh, A. A., Niaki, S. T. A., & Barzinpour, F. (2011). Multiple-buyer multiple-vendor multi-product multi-constraint supply chain problem with stochastic demand and variable lead-time: a harmony search algorithm. Applied Mathematics and Computation, 217(22), 9234-9253.
[8] Hammami, R., Temponi, C., & Frein, Y. (2014). A scenario-based stochastic model for supplier selection in global context with multiple buyers, currency fluctuation uncertainties, and price discounts. European Journal of Operational Research, 233(1), 159-170.
[9] Weber, C. A., Current, J. R., & Benton, W. C. (1991). Vendor selection criteria and methods. European journal of operational research, 50(1), 2-18.
[10] Weber, C. A., & Desai, A. (1996). Determination of paths to vendor market efficiency using parallel coordinates representation: a negotiation tool for buyers. European Journal of Operational Research, 90(1), 142-155.
[11] Azadi, M., Jafarian, M., Saen, R. F., & Mirhedayatian, S. M. (2015). A new fuzzy DEA model for evaluation of efficiency and effectiveness of suppliers in sustainable supply chain management context. Computers & Operations Research, 54, 274-285.
[12] Yousefi, S., Shabanpour, H., Fisher, R., & Saen, R. F. (2016). Evaluating and ranking sustainable suppliers by robust dynamic data envelopment analysis. Measurement, 83, 72-85.
[13] Shaw, K., Shankar, R., Yadav, S. S., & Thakur, L. S. (2012). Supplier selection using fuzzy AHP and fuzzy multi-objective linear programming for developing low carbon supply chain. Expert Systems with Applications, 39(9), 8182-8192.
[14] Ustun, O. (2008). An integrated multi-objective decision-making process for multi-period lot-sizing with supplier selection. Omega, 36(4), 509-521.
[15] Kar, A. K. (2014). Revisiting the supplier selection problem: An integrated approach for group decision support. Expert systems with applications, 41(6), 2762-2771.
[16] Saputro, T. E. (2014). Supplier Selection Using Integrated Fuzzy TOPSIS and MCGP: A Case Study. Procedia-Social and Behavioral Sciences, 116, 3957-3970.
[17] Zeydan, M., Çolpan, C., & Çobanoğlu, C. (2011). A combined methodology for supplier selection and performance evaluation. Expert Systems with Applications, 38(3), 2741-2751.
[18] Li, L., & Zabinsky, Z. B. (2011). Incorporating uncertainty into a supplier selection problem. International Journal of Production Economics, 134(2), 344-356.
[19] Zusman, P., & Etgar, M. (1981). The marketing channel as an equilibrium set of contracts. Management Science, 27(3), 284-302.
[20] Talluri, S., & Baker, R. C. (2002). A multi-phase mathematical programming approach for effective supply chain design. European Journal of Operational Research, 141(3), 544-558.
[21] Leng, M., & Parlar, M. (2010). Game-theoretic analyses of decentralized assembly supply chains: Non-cooperative equilibria vs. coordination with cost-sharing contracts. European Journal of Operational Research, 204(1), 96-104.
[22] Huang, Y., Huang, G. Q., & Liu, X. (2012). Cooperative Game-theoretic Approach for Supplier Selection, Pricing and Inventory Decisions in a Multi-level Supply Chain. In International MultiConference of Engineers and Computer Scientists (Vol. 7, pp. 1042-1046).
[23] Esmaeili, M., Aryanezhad, M. B., & Zeephongsekul, P. (2009). A game theory approach in seller–buyer supply chain. European Journal of Operational Research, 195(2), 442-448.
[24] Gheidar Kheljani, J., Ghodsypour, S. H., & O’Brien, C. (2009). Optimizing whole supply chain benefit versus buyer's benefit through supplier selection. International Journal of Production Economics, 121(2), 482-493.
[25] Azadeh, A., & Alem, S. M. (2010). A flexible deterministic, stochastic and fuzzy Data Envelopment Analysis approach for supply chain risk and vendor selection problem: Simulation analysis. Expert Systems with Applications, 37(12), 7438-7448.
[26] Leng, M., & Parlar, M. (2010). Game-theoretic analyses of decentralized assembly supply chains: Non-cooperative equilibria vs. coordination with cost-sharing contracts. European Journal of Operational Research, 204(1), 96-104.
[27] Ye, F., & Xu, X. (2010). Cost allocation model for optimizing supply chain inventory with controllable lead time. Computers & Industrial Engineering, 59(1), 93-99.
[28] Kamali, A., Fatemi Ghomi, S. M. T., & Jolai, F. (2011). A multi-objective quantity discount and joint optimization model for coordination of a single-buyer multi-vendor supply chain. Computers & Mathematics with Applications, 62(8), 3251-3269.
[29] Toloo, M., & Nalchigar, S. (2011). A new DEA method for supplier selection in presence of both cardinal and ordinal data. Expert Systems with Applications, 38(12), 14726-14731.
[30] Huang, Y., Huang, G. Q., & Liu, X. (2012). Cooperative Game-theoretic Approach for Supplier Selection, Pricing and Inventory Decisions in a Multi-level Supply Chain. In International MultiConference of Engineers and Computer Scientists (Vol. 7, pp. 1042-1046).
[31] He, Y., & Zhao, X. (2012). Coordination in multi-echelon supply chain under supply and demand uncertainty. International Journal of Production Economics, 139(1), 106-115.
[32] Nazari-Shirkouhi, S., Shakouri, H., Javadi, B., & Keramati, A. (2013). Supplier selection and order allocation problem using a two-phase fuzzy multi-objective linear programming. Applied Mathematical Modelling, 37(22), 9308-9323.
[33] Kannan, D., Khodaverdi, R., Olfat, L., Jafarian, A., & Diabat, A. (2013). Integrated fuzzy multi criteria decision making method and multi-objective programming approach for supplier selection and order allocation in a green supply chain. Journal of Cleaner Production, 47, 355-367.
[34] Ware, N. R., Singh, S. P., & Banwet, D. K. (2014). A mixed-integer non-linear program to model dynamic supplier selection problem. Expert Systems with Applications, 41(2), 671-678.
[35] Azadi, M., Jafarian, M., Saen, R. F., & Mirhedayatian, S. M. (2015). A new fuzzy DEA model for evaluation of efficiency and effectiveness of suppliers in sustainable supply chain management context. Computers & Operations Research, 54, 274-285.
[36] Mohammaditabar, D., Ghodsypour, S. H., & Hafezalkotob, A. (2015). A game theoretic analysis in capacity-constrained supplier-selection and cooperation by considering the total supply chain inventory costs. International Journal of Production Economics, Doi:10.1016/j.ijpe.2015.11.016.
[37] Gallego, G., & Moon, I. (1993). The distribution free newsboy problem: review and extensions. Journal of the Operational Research Society, 825-834.
[38] Shen, Z, Zhu, Q., Wu, G (1996). Theory, methodology and application of DEA, Science Press, Beijing.
[39] Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European journal of operational research, 2(6), 429-444.
[40] Nash Jr, J. F. (1950). The bargaining problem. Econometrica: Journal of the Econometric Society, 155-162.
)