星普汽车配件公司温州厂区库存管理研究摘 要随着我国经济的不断发展，汽车需求量也逐年增长，伴随着的是对汽车配件需求的不断扩大，汽车配件市场因此而产生了巨大的发展空间。同时，企业间的竞争也越来越大，库存管理成为了许多企业展开优劣竞争的重要手段，库存水平对企业竞争力具有重大影响。本文通过对浙江星普汽车零配件公司温州厂区的现状分析，发现存在需求预测不准确和汽车配件分类不合理两个问题。针对温州厂区需求预测不准确的问题，利用灰色预测法，借助软件 Matlab7.0 进行优化，提高温州厂区需求预测的准确度；针对汽车配件分类不合理的问题，使用 ABC 与 CVA 分类法相结合的方法对分类进行优化，使其更加合理。这样有利于温州厂区合理利用库存空间，使公司的库存管理进行的更加有序，同时也可以降低库存成本，增加公司利润，提高在市场中的竞争力。【关键词】库存管理；需求预测；灰色预测；ABC 分类法；CVA 分类法Research management optimization of Xingpu auto parts company in WenzhouAbstractIn the our country economy's development, the demand for cars is growing year by year, and then is accompanied by the growing demand for auto parts, auto parts market has a huge space for development.At the same time, the competition between enterprises is becoming more and more big, the current inventory management become the important means of many enterprises compete advantages and disadvantages, inventory level has a significant influence on enterprise competitiveness. This article through to the present situation of the zhejiang star general auto parts company in wenzhou factory analysis, found unreasonable demand forecasting not accurate and auto parts classification two questions.According to wenzhou factory not accurate demand forecasting problem, using grey prediction method, with the aid of software Matlab7.0 optimization, improve the accuracy of wenzhou factory demand forecast;To the problem of unreasonable auto parts classification, using ABC method with CVA cl...
