Optimizing decentralized production–distribution planning problem in a multi-period supply chain network under uncertainty
محورهای موضوعی : Mathematical Optimization
Raheleh Nourifar
1
(
Department of Industrial Engineering, Mazandaran University of Science and Technology, Babol, Iran
)
Iraj Mahdavi
2
(
Department of Industrial Engineering, Mazandaran University of Science and Technology, Babol, Iran
)
Nezam Mahdavi-Amiri
3
(
Department of Mathematical Sciences, Sharif University of Technology, Tehran, Iran
)
Mohammad Mahdi Paydar
4
(
Department of Industrial Engineering, Babol Noshirvani University of Technology, Babol, Iran
)
کلید واژه: Decentralized supply chain . Production, distribution planning problem . Bi-level approach . Network design,
چکیده مقاله :
Decentralized supply chain management is found to be significantly relevant in today’s competitive markets. Production and distribution planning is posed as an important optimization problem in supply chain networks. Here, we propose a multi-period decentralized supply chain network model with uncertainty. The imprecision related to uncertain parameters like demand and price of the final product is appropriated with stochastic and fuzzy numbers. We provide mathematical formulation of the problem as a bi-level mixed integer linear programming model. Due to problem’s convolution, a structure to solve is developed that incorporates a novel heuristic algorithm based onKth-best algorithm, fuzzy approach and chance constraint approach. Ultimately, a numerical example is constructed and worked through to demonstrate applicability of the optimization model. A sensitivity analysis is also made.
