期刊文献+

模糊多目标物流方案综合优化模型研究

The Optimization Model Research of Fuzzy Multi-objective in Transport Logistics
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摘要 针对跨国企业在商品、材料等的运输过程中的时间、成本和可靠性等多目标综合化问题,提出了以决策网络计划为基础,以模糊综合评判法理论的"时间—成本—可靠性"多目标物流方案综合优化模型。运用遗传算法对模型求解,在提高效率的同时,增强了模型的实用操作性。最后通过实例分析表明,该模型能有效地解决多途径、多次中转的物流运输问题,可以为企业在运输方案决策方面提供有力的支撑。 For the multinational corporations, there are many objects which should be in consideration, such as time, cost,and reliability, in the process of the transportation of goods,materials and so on. For this problem, a time-cost-security comprehensive optimization model which is on the basis of decision network planning and fuzzy comprehensive evaluation method, was proposed. Genetic algorithm which was applied to solve the model, can make the model more effective and practical. Finally a case study of transport logistics was given to verify the validity of the model in solving logistics transportation problems which were related to many method and transfer in the process of transportation. The model can be applied to decision-making about transport plan for the enterprises.
出处 《物流科技》 2016年第5期1-4,共4页 Logistics Sci-Tech
基金 沪江基金项目,项目编号:A14006 上海市一流学科资助项目,项目编号:S1201YLXK
关键词 多目标优化 物流 模糊综合评判法 决策网络计划 遗传算法 multi-objective optimization logistics fuzzy comprehensive evaluation method decision network planning genetic algorithm
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