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Continuous quality improvement management research based on the workflow mining technology
Ort / Verlag
ProQuest Dissertations & Theses
Erscheinungsjahr
2011
Link zum Volltext
Quelle
ProQuest Dissertations & Theses A&I
Beschreibungen/Notizen
Translation from original language as provided by authorIn the global industry with competition, the only way that enterprises can survive is enhancing the quality and reducing the cost of per product. The research proved that a company's success depends on the finished product rate if the process and efficience of production is same like others. So companies need an automating quality audits mechanism to reduce the quantity of rework and waste caused by the mistake in production process. Based on the above views, this paper attempts to propose a continuous quality improvement system based on production workflow mining. This system consists of three modules: we use the online analytical processing (OLAP) to extract and aggregate production data from the database, then we can analyse production processes from different angles. The artificial neural networks (ANN) which are trained by historical data can be used to predict the future quality of products. According to the difference between the expected value an