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制造企业B销售物流系统优化

发布时间:2018-11-11 12:34
【摘要】:销售物流是物流产业链上的重要环节,在这一环节,很多企业不仅仅面临着运营成本居高不下的问题而且也有客户服务水平比较低的问题。这两方面的问题,影响着企业的市场竞争力和市场份额,要想解决这两方面的问题,大多企业开始从控制库存成本方面考虑,减少运营成本。要想从根本上实现供需平衡,避免产生不必要的库存,就需要相关部门启动精确地市场预测程序进行需求预测。当产品的质量一定时,更高的客户服务水平就取决于最终接触客户的第三方产成品承运商的服务水平,客户关心产品能否按时按质按量的到达,这对第三方承运商提出了更高的要求。生产、运输及库存这三者关系密切关系,要解决企业销售物流系统的问题,应该从这些方面予以解决。 本文在研究制造企业B物流链的基础上,总结分析了企业B销售物流系统存在的现状问题并找到关键点(生产、运输、库存)对其进行分析,从而提出了解决的方法。通过研究国内外物流需求预测的现状和预测方法,本文提出了基于误差绝对值加权和最小的组合预测模型对案例企业进行实证分析,在一定程度上提高了预测精度。对于产成品承运商选择的问题,本文通过建立基于定性分析法的TOPSIS模型,综合评价承运商,对所有候选承运商进行优劣性排序,可以方便生产企业对承运商进行选择。结合案例企业实际情况进行分析,组合预测方法的使用比单预测方法精度有所提高,基于定性分析的TOPSIS多目标决策模型的使用,不仅有利于企业选择最优承运商也有利于选择次优承运商。从而对销售物流系统进行优化。
[Abstract]:Sales logistics is an important link in the logistics industry chain. In this link, many enterprises not only face the problem of high operating costs, but also have the problem of low level of customer service. These two problems affect the market competitiveness and market share of enterprises. If we want to solve these two problems, most enterprises begin to consider from the aspects of controlling inventory costs and reduce operating costs. In order to realize the balance of supply and demand fundamentally and avoid unnecessary inventory, it is necessary for relevant departments to start accurate market forecasting program to forecast demand. When the quality of the product is certain, the higher level of customer service depends on the service level of the third-party finished product carrier who finally contacts the customer, and the customer is concerned about whether the product can arrive on time, according to the quality, according to the quantity. This puts forward higher requirements for third-party carriers. Production, transportation and inventory are closely related to each other. In order to solve the problem of enterprise sales logistics system, we should solve them from these aspects. On the basis of studying the B logistics chain of manufacturing enterprises, this paper summarizes and analyzes the present situation of B sales logistics system and finds out the key points (production, transportation, inventory) to analyze it, and puts forward the solution. By studying the present situation and forecasting methods of logistics demand prediction at home and abroad, this paper puts forward a combination forecasting model based on the weighted and minimum absolute value of error to make empirical analysis of case enterprises, which improves the forecasting accuracy to a certain extent. For the selection of finished product carriers, this paper establishes a TOPSIS model based on qualitative analysis, evaluates carriers synthetically, and ranks all candidate carriers, which is convenient for manufacturing enterprises to select carriers. Combined with the actual situation of enterprise, the use of combined forecasting method is more accurate than that of single forecasting method, and the use of TOPSIS multi-objective decision model based on qualitative analysis. It is not only good for enterprises to choose the optimal carrier, but also for the selection of sub-optimal carrier. In order to optimize the sales logistics system.
【学位授予单位】:北京交通大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:F252;F416.7

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