关键词: 生产-分销集成计划, 粒子群算法, 多目标优化

Abstract: With the rapid development of market globalization,supply chain,a new idea of business management,has been introduced into various industries. However,in some fields which have unreasonable industrial sructures and need urgent upgrading,there is hardly any research on supply chain. For example,it is hard to see quantitative researches in petrochemical industry. Many problems in the base oil supply chain production and distribution system with independent decision-making are analyzed in this paper,such as failure of information sharing,manufacturers,distributors and customers seeking to maximize respective self-interest,ignoring or even damaging the overall interest of supply chain. Aiming to solve the above problems,this paper builds a production-distribution integrated planning model to minimize total cost and total time,and proposes a method of finding the Pareto optimal solution of multi-objective supply chain network based on particle swarm optimization. Results of simulation cases have proved feasibility and superiority of the integrated planning model.

Key words: production-distribution integrated planning model, particle swarm optimization, multi-objective optimization