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Joint decision making for maintenance and production scheduling of production systems

Author(s)
Lee, SeungchulNi, Jun
Issued Date
2013-05
DOI
10.1007/s00170-012-4395-6
URI
https://scholarworks.unist.ac.kr/handle/201301/8394
Fulltext
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84880571777
Citation
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, v.66, no.5-8, pp.1135 - 1146
Abstract
Deteriorated equipment has a significant impact on the product quality and maintenance policies. In this paper, we present a decision-making architecture to determine maintenance and product dispatching policies based on condition-monitoring information and the relationship between machine degradation and associated product quality. We use a Markov decision process for the long-term decision making and integer programming for the short-term decision making with a multi-product, multi-station system. We demonstrate the advantage of the proposed approach by comparing the proposed policy with traditional decision-making approaches. Furthermore, we illustrate the improvement of the proposed policy over the current usage-based maintenance policy with a semiconductor manufacturing process application.
Publisher
SPRINGER LONDON LTD
ISSN
0268-3768
Keyword (Author)
Joint maintenance and product schedulingCondition-based maintenanceMarkov decision processSemiconductor manufacturing
Keyword
LINE EQUIPMENT CONDITIONYIELD INFORMATIONMODELDISTRIBUTIONS

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