Multi-objective Optimization on Supply Chain based on Stochastic Flow Network
We describe a kind of supply chain optimization problem as a commodity stream routing problem upon a stochastic flow network. We divide the optimization problem to two parts: Firstly, establish model to calculate the optimal commodity stream allocation policy on all minimal paths; secondly, convert these allocation policy on all minimal paths to the optimal routing policy on all arcs. A multiobjective genetic algorithm based stochastic simulation is proposed to solve the established model. We analyze the computational complexity of proposed algorithm and test it by examples in various sizes.
optimization of supply chain stochastic flow network stochastic simulation multi-objective optimization
Liu Qiang Zang Wenke
School of Information Management, Shandong Economic University, Jinan, 250014, China School of Mathematics and Science, Shandong Normal University, Jinan, 250014, China
国际会议
长沙
英文
1927-1930
2010-05-11（万方平台首次上网日期，不代表论文的发表时间）