Intelligent Real-Time Control in Manufacturing and Supply Chain Processes

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Production scheduling and control under uncertainty is among the most persistent challenges in the field of operation management. Despite the significant amount of research in this domain, many studies still underline the gap between scheduling theory and practice. In this paper, we outline the important aspects to consider in the design and implementation of decision support systems for the scheduling task by reviewing the literature. From the identified guidelines, we examine a practical case and propose a decision support system for the production scheduling task in an actual manufacturing environment.

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677-685

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October 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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