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Function-Block Enabled Job Shop Planning and Control with Uncertainty
National Research Council of Canada.
2004 (English)Conference paper, Published paper (Refereed)
Abstract [en]

The objective of this research is to develop a methodology of distributed process planning and its execution control for job shop operations. The manufacturing processes of job shop operations are rather complex, especially at shop floors where highly mixed products in small batch sizes are handled simultaneously. In addition to the fluctuating job shop operations, unpredictable events like job delay, urgent job insertion, fixture shortage, missing tool, and even machine break-down, are regularly challenging the job shop operations. Targeting the fluctuations, this research proposes a DPP (distributed process planning) approach to generate process plans that are responsive and adaptive to the changes. In this paper, a function block enabled approach is introduced. It is expected that the new approach can largely enhance the dynamism of fluctuating job shop operations.

Place, publisher, year, edition, pages
2004. p. 383-392
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-205786OAI: oai:DiVA.org:kth-205786DiVA, id: diva2:1090335
Conference
Proceedings of ASME International Mechanical Engineering Congress and Exposition, IMECE2004-59279
Note

QCR 20170503

Available from: 2017-04-24 Created: 2017-04-24 Last updated: 2017-05-03Bibliographically approved

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CiteExportLink to record
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  • apa
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