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ASP: An Adaptive Setup Planning Approach for Dynamic Machine Assignments
Högskolan i Skövde, Forskningscentrum för Virtuella system. Högskolan i Skövde, Institutionen för teknik och samhälle.
Hyperion Technologies, Inc..
University of British Colombia.
University of Western Ontario.
2010 (engelsk)Inngår i: IEEE Transactions on Automation Science and Engineering, ISSN 1545-5955, E-ISSN 1558-3783, Vol. 7, nr 1, s. 2-14Artikkel i tidsskrift (Fagfellevurdert) 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.

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IEEE , 2010. Vol. 7, nr 1, s. 2-14
Emneord [en]
Adaptability, job shop operation, machining, multiobjective optimization, setup planning, uncertainty
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URN: urn:nbn:se:his:diva-3904DOI: 10.1109/TASE.2008.2011919ISI: 000273133300001Scopus ID: 2-s2.0-73849132295OAI: oai:DiVA.org:his-3904DiVA, id: diva2:318173
Tilgjengelig fra: 2010-05-06 Laget: 2010-05-06 Sist oppdatert: 2019-12-20bibliografisk kontrollert

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