不确定性环境下汽车供应链物流计划协同优化研究

发布时间：2018-02-25 01:15

本文关键词： 不确定性汽车供应链协同物流计划　出处：《北京交通大学》2017年硕士论文　论文类型：学位论文

【摘要】：企业经营管理模式随着经济的全球化发展开始由"纵向一体化"朝"横向一体化"转变,使得企业之间的竞争转化为整条供应链之间的竞争。汽车制造业已经成为我国国民经济发展的五大支柱产业之一,而目前汽车市场博弈的主旋律主要还是围绕价格竞争展开,各家汽车生产企业都在积极探索降低生产成本以提升市场利润的发展模式。因此,深入研究供应链物流计划协同优化理论,结合我国汽车产业的市场现状和发展趋势,建立汽车供应链物流计划协同模式及优化策略,具有十分重要的应用意义。汽车供应链是一个动态开放式系统,会随着时间不断发生变化。实际上,不仅是市场需求和供应商供货能力会随时间变化,供应链节点企业之间的关系也随着时间不断变化,这些不确定环境因素对汽车供应链物流的管理信息化和运作效率提出了更高的要求。所以,如何管理和控制这些不确定性因素,结合协同理论,制定有效的采购、生产、库存、运输等供应链物流计划就显得尤为重要。本文旨在研究不确定环境下汽车供应链物流计划协同优化问题,也就是在充分考虑参数不确定条件下,梳理汽车供应链协同动因,发掘供应链物流系统中诸多相关要素之间的有机联系,分析供应链环境下采购、生产、库存、运输等业务协同管理模式,进一步搭建汽车供应链物流计划协同优化模型,并设计随机模拟和遗传算法相结合的混合智能算法进行求解,同时本文将H汽车企业作为研究数值算例,在充分了解其经营网络及输出产品的基础之上,简化数据结构,验证优化模型及智能算法的有效性。在论文的最后,本文总结了研究所取得的成果,并指出了研究的几点局限性,同时展望了需进一步研究的工作。
[Abstract]:Enterprise management mode with the development of economic globalization began to change from "vertical integration" to "horizontal integration", the competition between enterprises into the competition between the whole supply chain. The automobile industry has become one of China's national economic development of the five pillar industries, and the main theme of the current automobile market the main game or on the price competition, the automobile production enterprises are actively exploring the development model to reduce production costs to enhance market profits. Therefore, in-depth study of the supply chain logistics plan collaborative optimization theory, and the present market situation and development trend of China's automobile industry, the establishment of logistics planning of automotive supply chain collaboration model and optimization strategy with application the significance is very important. The automotive supply chain is a dynamic open system, will change with time. In fact, not only is the market demand and Suppliers will change with time, the relationship between supply chain enterprises is changing with time, these uncertain environmental factors put forward higher requirements for information management and operation efficiency of automobile supply chain logistics. So, how to manage and control these uncertain factors, combined with the synergy theory, develop effective procurement production, inventory, logistics and transportation supply chain planning is particularly important. This paper aims at the automobile logistics plan under the environment of supply chain collaborative optimization problem of uncertainty, which is considering the parameters under uncertain conditions, combing the automotive supply chain collaborative agent, organic connection between many related elements of the logistics system to explore in the supply chain, analysis under the environment of supply chain procurement, production, inventory, transportation and other business management mode, to further build the logistics plan of automotive supply chain collaborative optimization model, A hybrid intelligent algorithm and design of stochastic simulation and genetic algorithm are combined to solve the H car enterprises as the numerical example, based on a full understanding of its business network and output products, simplify the structure of the data, to verify the effectiveness of the optimization model and intelligent algorithm. Finally, this paper summarizes the research the results obtained, and points out some limitations of the study, and prospects the further research work.

【学位授予单位】：北京交通大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F426.471;F252

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