基于延迟策略的MC汽车企业客户订单分离点定位研究

发布时间：2018-03-05 21:14

本文选题：大规模定制　切入点：延迟策略　出处：《东北大学》2014年硕士论文　论文类型：学位论文

【摘要】：激烈的行业内竞争、客户多变的个性化、差异化需求和更加快速的响应速度要求使得汽车生产企业依靠单一的大规模生产模式生产标准产品已经无法满足客户的需求。大规模定制生产方式(Mass Customization, MC)以低生产成本和快响应速度逐渐得到了汽车生产企业的青睐。延迟策略作为MC的核心,在提高企业生产柔性的同时又能使企业根据产品交货期和定制化要求以最低成本组织大规模定制生产。而在MC系统中成功实施延迟策略的关键是客户订单分离点(Customer Order Decoupling Point,CODP)的定位,CODP的准确定位会使得通用化和定制化制造阶段充分发挥各自的优势,增强企业的市场竞争力,提高客户的满意度。本文在综述国内外MC相关研究基础上,对运用延迟策略的汽车企业进行CODP定位研究。首先确定汽车企业大规模定制应选择的延迟策略类型,对CODP定位的影响因素进行分析。在此基础上构建MC下汽车企业CODP定位模型,对模型中涉及的工艺改造／设计成本、通用化制造阶段单位制造成本、定制化制造阶段单位制造成本和缓冲库存点单位半成品库存成本随CODP位置变动而变化的情况进入深入分析与研究,通过将生产时间引入半成品库存量的设定中,对CODP定位模型进行了扩展；然后引入交货期函数,对交货期约束进行分析确定定位工序范围,利用曲线拟合的技术确定总成本函数形式,利用MATLAB仿真软件求解总成本函数变化趋势及备选工序,结合约束条件对定位模型进行求解；最后以具体汽车企业算例为背景,求解基于延迟策略的CODP最佳定位工序,验证MC下CODP定位模型和求解方法的合理性和有效性。本文从成本、交货期和个性化要求三方面研究了CODP定位问题,对定位模型提出了相应的求解方法,并验证了定位模型与求解方法的可行性。本论文研究结果可以为MC下汽车企业实施延迟策略和CODP定位研究提供依据和指导。
[Abstract]:Fierce competition in the industry, customers changing personalized, The demand of differentiation and the requirement of faster response speed make it impossible for automobile manufacturing enterprises to meet the needs of customers by relying on a single mass production model to produce standard products. Mass customization (MCM). Production cost and fast response speed gradually get the favor of automobile manufacturers. Delay strategy is the core of MC. While improving the flexibility of production, enterprises can organize mass customization according to product delivery time and customization requirements at the lowest cost. The key to the successful implementation of delay strategy in MC system is the separation point of customer orders. The accurate positioning of customer Order Decoupling Point will make the general and customized manufacturing stages give full play to their respective advantages. On the basis of summarizing the research of MC at home and abroad, The CODP positioning of automobile enterprises with delay strategy is studied. Firstly, the type of delay strategy should be selected for mass customization of automobile enterprises is determined, and the influencing factors of CODP positioning are analyzed. On this basis, the CODP positioning model of automobile enterprises under MC is constructed. For the process modification / design cost involved in the model, the unit manufacturing cost in the general-purpose manufacturing phase, The changes of unit manufacturing cost and buffer inventory cost with the change of CODP position in customized manufacturing stage are analyzed and studied deeply, and the production time is introduced into the setting of semi-finished product inventory. The CODP positioning model is extended, and then the delivery time function is introduced to determine the scope of the positioning process, and the total cost function form is determined by curve fitting technology. MATLAB simulation software is used to solve the change trend of total cost function and alternative working procedure, combined with constraint conditions to solve the location model. Finally, the optimal positioning procedure of CODP based on delay strategy is solved based on an example of a specific automobile enterprise. To verify the rationality and validity of CODP location model and solution method under MC, this paper studies the problem of CODP location from three aspects of cost, delivery time and personalized requirement, and puts forward the corresponding solution method for the positioning model. The results of this paper can provide the basis and guidance for the implementation of delay strategy and CODP positioning research in MC.
【学位授予单位】：东北大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F274;F426.471

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