Abstract

AbstractThis paper presents a case study from a manufacturer of aluminum products characterized by a complex and flexible production system with a broad product variety. We examine the application of the data mining process for generating planning rules. The resulting planning rules can be implemented in a manufacturing execution system to support the decision process in decentralized manufacturing control. The aim is to discover patterns and drivers for high manufacturing lead time from ERP data in order to define planning rules with the objective to reduce lead time.KeywordsData miningManufacturing controlPlanning rules

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