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dc.contributorDepartment of Computingen_US
dc.creatorYang, Jiawei-
dc.identifier.urihttps://theses.lib.polyu.edu.hk/handle/200/4191-
dc.languageEnglishen_US
dc.publisherHong Kong Polytechnic University-
dc.rightsAll rights reserveden_US
dc.titleIntelligent inventory managementen_US
dcterms.abstractInventory management for Manufacture industry is one of the logistic management. It can be seen as a part of managing supply chain, which includes supplier management, material management, forecast management even related to production management, equipment maintenance management and so on. To achieve and support the business target, we must minimize the operation cost meanwhile maximize the service level. The service is not only to external customer, it is also serving the each node of the supply chain. Inventory management must keep working with reducing capital occupied and effective conversion of material. Business excellence provides a useful and scientific methodology to advance the business operation process. Which make us improve the inventory management work flow easily, even rebuild a new inventory management pattern. Business excellence provides multiple scientific tools, such as Lean thinking, Six Sigma, Design excellence and so on. The main objective for our thesis is: Through a typical inventory reducing project in a manufacture company, to show us a way or a scientific method for build an intelligent inventory management pattern. We put mainly contribution for the historical data collection, data mining, data analysis and inventory management project structure topic. For the business data collection, we gained from SAP system in the company. For the data statistic analyzing, we use Minitab software to implement it.en_US
dcterms.extentix, 79 leaves : ill. ; 30 cm.en_US
dcterms.isPartOfPolyU Electronic Thesesen_US
dcterms.issued2008en_US
dcterms.educationalLevelAll Masteren_US
dcterms.educationalLevelM.Sc.en_US
dcterms.LCSHHong Kong Polytechnic University -- Dissertations.en_US
dcterms.LCSHInventory control -- Data Processing.en_US
dcterms.accessRightsrestricted accessen_US

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Please use this identifier to cite or link to this item: https://theses.lib.polyu.edu.hk/handle/200/4191