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ASP: An Adaptive Setup Planning Approach for Dynamic Machine Assignments
University of Skövde, The Virtual Systems Research Centre. University of Skövde, School of Technology and Society.
Hyperion Technologies, Inc..
University of British Colombia.
University of Western Ontario.
2010 (English)In: IEEE Transactions on Automation Science and Engineering, ISSN 1545-5955, E-ISSN 1558-3783, Vol. 7, no 1, 2-14 p.Article in journal (Refereed) Published
Abstract [en]

This paper presents a decision-making approach towards adaptive setup planning that considers both the availability and capability of machines on a shop floor. It loosely integrates scheduling functions at the setup planning stage, and utilizes a two-step decision-making strategy for generating machine-neutral and machine-specific setup plans at each stage. The objective of the research is to enable adaptive setup planning for dynamic job shop machining operations. Particularly, this paper covers basic concepts and algorithms for one-time generic setup planning, and run-time final setup merging for dynamic machine assignments. The decision-making algorithms validation is further demonstrated through a case study.

Place, publisher, year, edition, pages
IEEE , 2010. Vol. 7, no 1, 2-14 p.
Keyword [en]
Adaptability, job shop operation, machining, multiobjective optimization, setup planning, uncertainty
National Category
Engineering and Technology
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-3904DOI: 10.1109/TASE.2008.2011919ISI: 000273133300001Scopus ID: 2-s2.0-73849132295OAI: oai:DiVA.org:his-3904DiVA: diva2:318173
Available from: 2010-05-06 Created: 2010-05-06 Last updated: 2012-11-22Bibliographically approved

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