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Overview of a Distributed Process Planning Approach Targeting Manufacturing Uncertainty
National Research Council of Canada.
2006 (English)In: Proceedings of the International Conference on Manufacturing Science and Engineering, 2006, p. 595-604Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents an overview of our DPP (distributed process planning) approach, covering DPP concept, generic machining process sequencing using enriched machining features, process plan encapsulation in function blocks, and process monitoring enabled by the function blocks. A two-layer structure of Supervisory Planning and Operation Planning is proposed in DPP to separate generic data from machine-specific ones. The supervisory planning is only performed once, in advance, at shop level, whereas the operation planning is carried out at runtime at machine level. This dynamic decision-making is facilitated by a set of resource-driven algorithms embedded in the function blocks. The internal structures of typical function blocks are also introduced in the paper. The DPP approach and algorithms are further verified through a case study before drawing conclusions. It is expected that the new approach can largely enhance the dynamism of fluctuating job shop operations.

Place, publisher, year, edition, pages
2006. p. 595-604
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-213631Scopus ID: 2-s2.0-33751282127OAI: oai:DiVA.org:kth-213631DiVA, id: diva2:1138083
Conference
International Conference on Manufacturing Science and Engineering, MSEC 2006, Ypsilanti, MI, United States, 8 October 2006 through 11 October 2006
Note

QC 20170905

Available from: 2017-09-04 Created: 2017-09-04 Last updated: 2017-09-05Bibliographically approved

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