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Cho, D.W., Lee, Y.H. (2013). The value of information sharing in a supply chain with a seasonal demand process. Computers & Industrial Engineering, 65, 97-108. Drechsel, J., Kimms, A. (2010). Computing core allocations in cooperative games with application to cooperative procurement. Int. J. Production Economics, 128, 310-321. Ganesh, M., Raghunathan, S., Rajendran, C. (2008). The value of information sharing in a mult-product supply chain with product substitution. IIE Transactions, 40, 1124-1140. Ganesh, M., Raghunathan, S., Rajendran, C. (2014). The value of information sharing in a multi-product, multi-level supply chain: Impact of product substitution, demand correlation, and partial information sharing. Decision Support Systems, 58, 79-94. Jia, N.X., Yokoyama, R. (2003). Profit allocation of independent power producers based on cooperative game theory. Electrical Power and Energy Systems, 25, 633-641. Krus ́, L., Bronisz, P. (2000). Cooperative game solution concepts to a cost allocation problem. European Journal of Operational Research, 122, 258-271. Kahn, J.A. (1987). Inventories and the volatility of production. The American Economic Review, vol.77, 4, 667-679. Lee, H.L., Padmanabhan, P., Whang, S. (1997a). Information distortion in a supply chain: the bullwhip effect. Management Science, 43, 546-558. Lee, H.L., Padmanabhan, P., Whang, S. (1997b). Bullwhip effect in a supply chain. Sloan Management Review, 38, 93-102. Lee, H.L., So, C.K., Tang, S.C. (2000). The value of information sharing in a two level supply chain. Management Science, 46, 626-643. Lee, H.L. (2000). Creating value through supply chain integration. Supply Chain Management Rev, 4(4), 30-36. Leng, M., Parlar, M. (2009). Allocation of cost savings in a three-level supply chain with demand information sharing: A cooperative-game approach. Operations Research, 57 (1), 200-213. Lozano, S., Moreno, P., Adenso-Di ́az, B., Algaba, E. (2013). Cooperative game theory approach to allocating benefits of horizontal cooperation. European Journal of Operational Research, 229, 444-452. Metters, R. (1997). Quantifying the bullwhip effect in supply chains. Journal of Operations Management, 15, 89-100. Qi, Y., Ni, W., Shi, K. (2015). Game theoretic analysis of one manufacturer two retailer supply chain with customer market search. Int. J. Production Economics, 164, 57-64. Rached, M., Bahroun, Z., Campagne, J.P. (2015). Assessing the value of information sharing and its impact on the performance of the various partners in supply chains. Computers & Industrial Engineering, 88, 237-253. Reddy, A.M., Rajendran, C. (2005). A simulation study of dynamic order up to policies in a supply chain with non stationary customer demand and information sharing. International Journal of Advanced Manufacturing Technology, 25, 1029-1045. Ren, X.Y., Feng, Q.Q., Wang, S., Wen, X. (2015). Profit distribution of agricultural supply chain based on Shapley value. Advance Journal of Food Science and Technology, 7(7), 479-483. Sabitha, D., Rajendran, C., Kalpakam, S., Ziegler, H. (2016). The value of information sharing in a serial supply chain with AR(1) demand and non-zero replenishment lead times. European Journal of Operational Research, 255, 758-777. Simchi-Levi, D., Y. Zhao. (2004). The value of information sharing in a two-stage supply chain with production capacity constraints: The infinite horizon case. Probab. Engrg. Informational Sci., 18(2), 247-274. Xue, X., Shen, Q., Tan, Y., Zhang, Y., Fan, H. (2011). Comparing the value of information sharing under different inventory policies in construction supply chain. International Journal of Project Management, 29, 867-876.
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