寿命分布相似的多种汽车蓄电池联合采购与库存策略研究

发布时间：2018-05-01 01:32

本文选题：供应链 + 寿命分布　；参考：《武汉理工大学》2015年硕士论文

【摘要】：运输是供应链物流很重要的一部分,在运输过程中,运输设备的成本是很大的,其中包括运输车辆的使用成本、车辆的维护成本和车辆损坏造成的损失成本等。在大型运输企业,为了适应不同的运输需求,会有多种不同的运输车辆。但是,由于车辆的蓄电池寿命各不相同,导致车辆维护不能同时进行,只能等待车辆损坏后再进行维修,从而导致较大的维护成本。另一方面,一旦车辆蓄电池在运输过程中损坏,将导致车辆停在运输途中,造成运输延误。针对寿命分布相似的汽车蓄电池的最优经济使用时间和采购批量的目标函数的建立、求解算法和配置优化等问题,提出数学模型来得到最优的经济使用时间和最优的采购策略。并且用实际案例对所提出的数学模型进行验证和各因素的敏感度分析。本文主要通过以下几个方面对寿命分布相似的多种汽车蓄电池联合采购和库存策略进行研究:1.通过阅读国内外对汽车蓄电池供应链中采购和库存的相关研究资料,了解目前国内外研究该类问题的研究现状,从国内外公司现有汽车蓄电池联合采购与库存的现状分析来看,主要存在汽车蓄电池寿命分布研究和多种产品基于寿命的联合采购方面的研究欠缺。在此基础上提出了本文的研究内容和拟解决的关键问题;2.在理论上分析了供应链管理的相关知识和采购管理的相关决策权,分析了连续盘点与周期盘点、固定订货量与最大库存量和安全库存的库存策略,研究了经济订货批量,并拓展为多产品联合订货,通过使年总成本最小,得出了最优订货频次的计算方法;3.分析了汽车蓄电池使用寿命的影响因素,提出了汽车蓄电池使用寿命的分布情况;在研究了汽车蓄电池使用寿命和最优使用寿命的基础上,提出了蓄电池的期望寿命;分析了多种寿命分布相似的蓄电池的期望寿命,得出了不同类型蓄电池的订货量;4.研究了汽车蓄电池的使用寿命,在此基础上得出了最优使用寿命,并建立了基于最优使用寿命的蓄电池联合采购数学模型。在所有成本最小化的条件下,通过全局搜索算法求得蓄电池的最优使用时间和采购周期。5.在联合采购的数学模型基础上提出了实际算例,从实际应用中分析了汽车蓄电池的寿命分布和最优使用寿命,并根据算例结果为供应链采购提供了基础。此外,为了挖掘联合采购模型中各成本分量对供应链的影响,分别探索了订单固定成本、蓄电池失效成本、库存持有成本和更换成本对总成本和最优使用寿命的影响,研究了汽车蓄电池寿命服从的不同分布对采购和库存的影响。总之,本文将在研究了汽车蓄电池寿命分布和期望使用寿命的基础上,建立联合采购模型,结合实际案例分析模型可行性和实用性。
[Abstract]:Transportation is an important part of supply chain logistics. In the process of transportation, the cost of transportation equipment is very large, including the cost of using transport vehicle, the cost of vehicle maintenance and the cost of loss caused by vehicle damage, etc. In large transport enterprises, in order to adapt to different transport needs, there will be a variety of transport vehicles. However, due to the different battery life of vehicles, vehicle maintenance can not be carried out at the same time, and can only be repaired after vehicle damage, which leads to higher maintenance costs. On the other hand, once the vehicle battery is damaged during transportation, it will lead to vehicle stopping in transit and causing transportation delay. Aiming at the establishment of the objective function of the optimal economical usage time and the purchase batch of the automotive battery with similar life distribution, the solving algorithm and the configuration optimization, the mathematical model is proposed to obtain the optimal economical usage time and the optimal purchasing strategy. The mathematical model is verified and the sensitivity of each factor is analyzed by a practical case. This paper mainly through the following several aspects of similar life distribution of a variety of automotive battery joint procurement and inventory strategy research: 1. By reading the domestic and foreign research materials on the procurement and inventory of automotive battery supply chain, we can find out the current research situation of this kind of problems at home and abroad, and analyze the current situation of joint procurement and inventory of automotive battery at home and abroad. There are some deficiencies in the research of battery life distribution and the joint procurement of many products based on life. On this basis, the research contents and key problems to be solved are put forward. In this paper, the relevant knowledge of supply chain management and the decision-making power of purchasing management are analyzed theoretically, and the inventory strategies of continuous and periodic inventory, fixed order quantity and maximum inventory and safety stock are analyzed, and the economic order batch is studied. By making the total annual cost minimum, the calculation method of optimal ordering frequency is obtained. The influencing factors of the service life of automobile battery are analyzed, the distribution of service life of automobile battery is put forward, and the expected life of battery is put forward on the basis of studying the service life and optimum service life of automobile battery. The expected life of several batteries with similar life distribution is analyzed, and the order quantity of different types of batteries is obtained. In this paper, the service life of automobile battery is studied, and the optimal service life is obtained, and the mathematical model of battery joint purchasing based on the optimal service life is established. Under the condition of minimizing all the costs, the optimal service time and purchasing period of the battery are obtained by the global search algorithm. Based on the mathematical model of joint purchasing, a practical example is put forward, and the life distribution and optimal service life of automotive battery are analyzed from the practical application, and the basis for supply chain purchasing is provided according to the result of the example. In addition, in order to explore the effect of cost components on supply chain in joint purchasing model, the effects of order fixed cost, battery failure cost, inventory holding cost and replacement cost on total cost and optimal service life are explored respectively. The effect of different distribution of automobile battery service on purchasing and inventory was studied. In a word, on the basis of studying the life distribution and expected service life of automotive battery, a joint purchasing model is established, and the feasibility and practicability of the model are analyzed with practical cases.
【学位授予单位】：武汉理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U492.31;F252.1

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