Abstract
This paper considers a core enterprise-dominant supply chain distribution modeling problem under a fuzzy environment. In particular, the common benefit and mutual interact of the upstream and downstream enterprise in the supply chain is considered. Thus, a decentralized bi-level programming model is constructed. To deal with the fuzzy parameters in the objective functions, an expected value operation based on Me is employed. As to the feasible region with fuzzy coefficient, a similarity relation based on the fuzzy measure Pos is defined, based on which, the rough approximation method is adopted. Then, two rough approximation models (UAM and LAM) is developed. To solve the two models, a rough simulation is developed, after which the fuzzy interactive programming and genetic algorithm can be adopted to find the solutions.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Bilgen B (2010) Application of fuzzy mathematical programming approach to the production allocation and distribution supply chain network problem. Expert Systems with Applications 37(6):4488–4495
Guo C, Chen G, Zhong Z (2008) Supply chain hybrid distribution channels research. Foreign Economics and Management 30(9):22–27 (In Chinese)
Hamedi M, Farahani RZ, Husseini MM, Esmaeilian GR (2009) A distribution planning model for natural gas supply chain: A case study. Energy Policy 37(3):799–812
Ji G, Zhang Q (2008) Supply chain channels governance in the distribution of imported cars. Management Review 20(10):13–19 (In Chinese)
Pawlak Z (1982) Rough sets. International Journal of Parallel Programming 11(5):341–356
Sakawa M, Nishizaki I (2009) Cooperative and noncooperative multi-level programming. Springer
Selim H, Araz C, Ozkarahan I (2008) Collaborative productionCdistribution planning in supply chain: A fuzzy goal programming approach. Transportation Research Part E: Logistics and Transportation Review 44(3):396–419
Sheng L, Zhou X (2006) Research on bi-level programming model of distribution system in SC. Logistics Technology (2):61–66 (In Chinese)
Shi Y, Yao L, Xu J (2011) A probability maximization model based on rough approximation and its application to the inventory problem. International Journal of Approximate Reasoning 52(2):261–280
Tao Z, Xu J (2011) A class of rough multiple objective programming and its application to solid transportation problem. Information Sciences 188:215–235
Xu J, Zhou X (2010) Fuzzy-like multiple objective decision making. Springer-Verlag, Berlin
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Tao, Z., Wang, Y., Wu, Z., Hu, J. (2014). Rough Approximation Based Decentralized Bi-Level Model for the Supply Chain Distribution Problem. In: Xu, J., Fry, J., Lev, B., Hajiyev, A. (eds) Proceedings of the Seventh International Conference on Management Science and Engineering Management. Lecture Notes in Electrical Engineering, vol 242. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40081-0_67
Download citation
DOI: https://doi.org/10.1007/978-3-642-40081-0_67
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40080-3
Online ISBN: 978-3-642-40081-0
eBook Packages: Business and EconomicsBusiness and Management (R0)