基于数据挖掘的供应商选择决策支持系统

发布时间：2018-05-15 00:42

本文选题：供应商选择 + 数据仓库　；参考：《武汉科技大学》2014年硕士论文

【摘要】：自20世纪90年代以来，随着信息技术和生产力的快速发展，全球市场竞争日趋激烈，顾客需求越来越个性化，供应链管理中的供应商评价选择的重要性也越来越突出。对于一个企业来说，如何选择供应商使双方达到相互协作、双赢的局面，是一个至关重要的问题。本文以中小型制造企业为对象，在已有ERP系统地基础上，完成了基于数据挖掘的供应商选择决策支持系统中供应商评价指标体系构建、方法选择以及系统实现的工作。其主要研究内容包括以下几个方面：（1）供应商评价指标体系的研究。结合国内外对供应商评价指标体系的研究成果及企业实际情况，构建了供应商评价指标体系，并对指标体系中的所有指标进行了定性及定量分析。（2）基于数据挖掘的供应商选择研究。通过分析供应商选择的目标及数据挖掘算法的特点，将供应商选择的过程分为聚类分析、分类评价、精选评价三个步骤。首先运用模糊C均值算法（FCM）对供应商进行分类，然后运用层次分析法（AHP）确定最优供应商组，最后根据企业实际需求从最优供应商组中选取供应商。并以CH公司为例，进行实例演示。（3）基于数据挖掘的供应商选择决策支持系统的设计与实现。在项目组所开发的ERP系统基础上，对供应商选择决策支持系统进行功能设计，并采用B/S结构，，JAVA语言，开发了基于数据挖掘的供应商选择决策支持系统。该系统主要包括供应商信息管理、采购管理、供应商评价、供应商管理四个模块。
[Abstract]:Since the 1990s, with the rapid development of information technology and productivity, the global market competition is becoming increasingly fierce, customer demand is becoming more and more personalized, and the importance of supplier evaluation and selection in supply chain management is becoming more and more prominent. For an enterprise, how to choose suppliers to achieve mutual cooperation and win-win situation, is a crucial issue. Taking small and medium-sized manufacturing enterprises as the object, based on the existing ERP system, this paper completes the establishment of supplier evaluation index system, method selection and system implementation in the supplier selection decision support system based on data mining. Its main research contents include the following aspects: Research on supplier evaluation index system. Combined with the research results of supplier evaluation index system at home and abroad and the actual situation of the enterprise, this paper constructs the supplier evaluation index system, and carries on the qualitative and quantitative analysis to all the indexes in the index system. Research on supplier selection based on data mining. By analyzing the target of supplier selection and the characteristics of data mining algorithm, the process of supplier selection is divided into three steps: cluster analysis, classification evaluation and selection evaluation. Firstly, the fuzzy C-means algorithm (FCM) is used to classify the suppliers, then the AHP (Analytic hierarchy process) is used to determine the optimal supplier group. Finally, according to the actual demand of the enterprise, the supplier is selected from the optimal supplier group. And take Ch company as an example, carries on the example demonstration. Design and implementation of supplier selection decision support system based on data mining. On the basis of the ERP system developed by the project team, the function of the supplier selection decision support system is designed, and the supplier selection decision support system based on data mining is developed by using the Java language of B / S structure. The system includes four modules: supplier information management, procurement management, supplier evaluation and supplier management.
【学位授予单位】：武汉科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP311.13

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