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

摘要： 随着市场全球化的飞速发展,供应链思想已渗透到各行各业,是一种新型的企业管理思想。然而在一些 产业结构不合理、急需产业升级的领域,几乎没有相关的供应链研究,譬如石油化工领域的量化研究少之又少。 本文分析了在独立决策下基础油供应链生产、分销系统中,信息不共享,生产商、分销商以及客户只追求各自 利益最大化,忽视甚至是损害了供应链整体利益的现象。针对上述现象,构建了生产-分销集成计划模型,以实 现供应链总成本和总反应时间最小,提出了一种基于粒子群算法寻找多目标供应链网络Pareto 最优解的方法。 仿真实例的结果表明了集成模型的可行性和优越性。

关键词: 生产-分销集成计划, 粒子群算法, 多目标优化