基于产业链协同平台的配件销售决策支持系统设计

发布时间：2018-06-11 19:56

本文选题：配件销售决策支持 + 配件档案库　；参考：《西南交通大学》2017年硕士论文

【摘要】：国民经济的快速增长,汽车行业也取得了骄人的成绩,伴随着汽车保有量的增加,“汽车后市场”已经到来,售后市场中的配件销售正逐渐成为“汽车后市场”的主要赢利点,但是目前的配件销售中还存在诸多问题,例如一些销售企业对市场把握不精准造成备货不合理,无形中增加了成本;再如一些销售企业缺乏调节市场的机制,未能激发市场活力,促进配件销售,取得利润最大化。因此,为汽车配件销售企业建立相关的决策支持系统,为他们在配件销售的市场活动中提供有力的决策支持,增强配件销售企业的市场竞争力已经势在必行。本文以汽车产业链平台上某汽车集团的配件销售模式为基础,分析了目前配件业务存在的问题,设了基于产业链协同平台的配件销售决策支持系统。设计了基于原有模式的诸如分销任务决策、折扣决策等一些新的业务。旨在提升产业链平台上配件销售企业的市场竞争力,并提取产业链协同平台数据构建配件档案库,作为销售决策系统的支撑数据库。构建了配件销售决策支持模型,包含了对中转库销售预测子模型与服务商业绩等级评价模型的研究,分别研究了时间序列预测法中移动平均模型与指数平滑模型在中转库配件销售预测中的应用,以及基于GDM群决策的多方定权法在服务商业绩等级评价模型中的应用。两种模型分别应用于分销任务决策业务以及折扣决策业务,为业务中的相关决策提供了有力的数据支持。最后本系统采用C#语言,基于Visual Stdio 2013和SQL Server 2014开发,采用B/S架构,对配件档案库构建以及销售决策系统进行了详细的设计并予以实现。
[Abstract]:With the rapid growth of the national economy, the automobile industry has also made remarkable achievements. With the increase of automobile ownership, the "aftermarket" has arrived, and the sales of spare parts in the after-sale market are gradually becoming the main profit points of the "after-market". However, at present, there are still many problems in the sales of accessories. For example, some sales enterprises do not have a precise grasp of the market, which results in unreasonable preparation of goods, which invisibly increases the cost; for example, some sales enterprises lack a mechanism to regulate the market. Failed to stimulate market vitality, promote accessories sales, profit maximization. Therefore, it is imperative to establish relevant decision support system for auto parts sales enterprises, to provide them with strong decision support in the market activities of accessories sales, and to enhance the market competitiveness of accessories sales enterprises. Based on the auto industry chain platform, this paper analyzes the problems existing in the accessories business, and sets up the accessories sales decision support system based on the industrial chain cooperation platform. Some new business such as distribution task decision, discount decision and so on are designed. The purpose of this paper is to enhance the market competitiveness of the accessory sales enterprises on the industrial chain platform, and to extract the data from the industrial chain collaborative platform to construct the accessory archives database, which can be used as the supporting database of the sales decision system. A decision support model of accessory sales is constructed, which includes the research on the submodel of sales prediction and the evaluation model of service provider's performance grade. This paper studies the application of moving average model and exponential smoothing model in the time series forecasting method, and the application of multi-party weight method based on GDM group decision in the performance evaluation model of service provider. The two models are applied to the distribution task decision business and the discount decision service respectively, which provide powerful data support for the relevant decision making in the business. Finally, the system is developed with C # language, based on Visual Stdio 2013 and SQL Server 2014, and the B / S architecture is used to design and implement the accessory archives and sales decision system in detail.
【学位授予单位】：西南交通大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F426.471;F274;TP311.52

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