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ResearchmanagementoptimizationofXingpuautopartscompanyinWenzhouAbstractIntheourcountryeconomy'sdevelopment,thedemandforcarsisgrowingyearbyyear,andthenisaccompaniedbythegrowingdemandforautoparts,autopartsmarkethasahugespacefordevelopment.Atthesametime,thecompetitionbetweenenterprisesisbecomingmoreandmorebig,thecurrentinventorymanagementbecometheimportantmeansofmanyenterprisescompeteadvantagesanddisadvantages,inventorylevelhasasignificantinfluenceonenterprisecompetitiveness.Thisarticlethroughtothepresentsituationofthezhejiangstargeneralautopartscompanyinwenzhoufactoryanalysis,foundunreasonabledemandforecastingnotaccurateandautopartsclassificationtwoquestions.Accordingtowenzhoufactorynotaccuratedemandforecastingproblem,usinggreypredictionmethod,withtheaidofsoftwareMatlab7.0optimization,improvetheaccuracyofwenzhoufactorydemandforecast;Totheproblemofunreasonableautopartsclassification,usingABCmethodwithCVAclassificationmethodoptimizetheclassification,makeitmorereasonable.Conducivetowenzhoufactoryreasonableuseofinventoryspace,makethecompany'sinventorymanagementmoreorderly,andatthesametimealsocanreducetheinventorycost,increaseprofits,improvethecompetitivenessinthemarket.[Keywords]Inventorymanagement;Demandforecasting;Greyprediction;ABCclassification;CVAclassification目录一、绪论..........................................................................1（一）研究背景、目的与意义....................................................1（二)国内外研究综述..........................................................2二、星普公司背景及温州厂区库存管理现状分析........................................3（一）星普公司背景介绍........................................................3（二）星普公司温州厂区库存管理现状分析........................................3（三）星普公司温州厂区库存管理存在的问题......................................5三、星普公司温州厂区库存管理优化策略..............................................7（一）使用灰色预测提高产品预测准确性..........................................7（二）用ABC分类法与CVA分类法相结合的方法解决分类问题.......................11四、结束语.......................................................................15（一）总结...................................................................15（二）研究展望...............................................................15参考文献.........................................................................16致谢.........................................................................17一、绪论（一）研究背景、目的与意义1.研究背景近年来，随着中国经济的不断发展，综合实...
