Abstract
As a problem in supply chain management, the decision problem of terms and conditions of a contract between a supplier and a retailer is recognized commonly. The concept of cooperative bargaining between a supplier and a retailer is the key concepts to resolve this problem in the supply chain. Then, the bargaining evaluation function by Nash in the game theory exists as a tool to obtain the solution by cooperation bargaining. The Nash bargaining solution is derived under the premise that a power balance between a supplier and a retailer is equal. However, the situation where the power balance between a supplier and a retailer in actual bargaining is not equal is supposed frequently. For the purpose of reflecting the power balance in obtaining the bargaining solution, the concept of a general bargaining solution was proposed and then the general bargaining evaluation function for obtaining the general bargaining solution was devised. However, in the case of adopting the general bargaining evaluation function as a bargaining tool, some problems are included. In this article, we address the problems in the general bargaining solution. Then, we propose a new concept of bargaining process to obtain a solution under considering the existence of power balance between a supplier and a retailer.
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References
Arizono, I., & Takemoto, Y. (2012). A solution of contract problem in book trade supply chain systems based on distribution free approach. In T. Blecker, W. Kersten, & Christian M. Ringle (Eds.), Pioneering supply chain design: A comprehensive insight into emerging trends, technologies and applications (pp. 75–87). Lohmar: Josef Eul Verlag.
Chern, C. C., Lei, S. T., & Huang, K. L. (2014). Solving a multi-objective master planning problem with substitution and a recycling process for a capacitated multi-commodity supply chain network. Journal of Intelligent Manufacturing, 25(1), 1–25.
Cui, L. X. (2014). Joint optimization of production planning and supplier selection incorporating customer flexibility: An improved genetic approach. Journal of Intelligent Manufacturing. doi:10.1007/s10845-014-0932-5.
Hiremath, N. C., Sahu, S., & Tiwari, M. K. (2013). Multi objective outbound logistics network design for a manufacturing supply chain. Journal of Intelligent Manufacturing, 24(6), 1071–1084.
Huang, H., & Ke, H. (2014). Pricing decision problem for substitutable products based on uncertainty theory. Journal of Intelligent Manufacturing. doi:10.1007/s10845-014-0991-7.
Le, T. P. N., & Lee, T. R. (2013). Model selection with considering the CO\(_{2}\) emission alone the global supply chain. Journal of Intelligent Manufacturing, 24(4), 653–672.
Ledari, A. M., Pasandideh, S. H. R., & Koupaei, M. N. (2015). A new newsvendor policy model for dual-sourcing supply chains by considering disruption risk and special order. Journal of Intelligent Manufacturing. doi:10.1007/s10845-015-1104-y.
Nagaraja, M., & Sosic, G. (2008). Game theoretic analysis of cooperation among supply chain agents: Review and extensions. European Journal of Operational Research, 187, 719–745.
Nash, J. F. (1950). The bargaining problem. Econometrica, 28, 155–162.
Nash, J. (1951). Non-cooperative games. Annals of Mathematics, 54, 286–295.
Roth, A. E. (1979). Axiomatic models of bargaining. Berlin: Springer.
Shi, Y., Nie, J., Qu, T., Chu, L. K., & Sculli, D. (2015). Choosing reverse channels under collection responsibility sharing in a closed-loop supply chain with re-manufacturing. Journal of Intelligent Manufacturing, 26(2), 387–402.
Takemoto, Y., & Arizono, I. (2013). Collaborative sale contract in publishing supply chain. Innovation and Supply Chain Management, 7, 52–57.
Vlachos, D., & Dekker, R. (2003). Return handling options and order quantities for single period products. European Journal of Operational Research, 151, 38–52.
Xiang, W., Song, F., & Ye, F. (2014). Order allocation for multiple supply-demand networks within a cluster. Journal of Intelligent Manufacturing, 25(6), 1367–1376.
Acknowledgments
This work was supported by JSPS KAKENHI Grant Number 26350433: “The rationalization and optimization of distribution systems based on mechanism design in supply chain environments”.
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Kato, W., Arizono, I. & Takemoto, Y. A proposal of bargaining solution for cooperative contract in a supply chain. J Intell Manuf 29, 559–567 (2018). https://doi.org/10.1007/s10845-015-1140-7
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DOI: https://doi.org/10.1007/s10845-015-1140-7