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Using constraint programming and simulation for execution monitoring and progressive scheduling
Ecole Nationale d'Ingénieurs de Tarbes, Tarbes, France.
ILOG S.A., Gentilly, France.
University of Toronto, Toronto, Canada.
Ecole Nationale d'Ingénieurs de Tarbes, Tarbes, France.
2006 (English)In: Information control problems in manufacturing 2006 / [ed] Alexandre Dolgui, Gérard Morel, Carlos E. Pereira, Elsevier, 2006, p. 615-620Conference paper, Published paper (Refereed)
Abstract [en]

The problem we tackle is progressive scheduling with temporal and resource uncertainty. Operation durations are imprecise and alternative resources may break down. Operation end times and resource breakdowns are observed during execution. In this paper, we assume we have a representation of uncertainty in the form of probability distributions which are used in the simulation of schedule execution. We generate the schedule piece by piece during execution and use simulation to monitor the execution of the partial schedule. This paper describes the basis on which the decision to select and schedule a new subset of operations is made.

Place, publisher, year, edition, pages
Elsevier, 2006. p. 615-620
National Category
Computer Sciences
Research subject
Computer and Systems Science
Identifiers
URN: urn:nbn:se:oru:diva-29128DOI: 10.3182/20060517-3-FR-2903.00313ISBN: 978-0-08-044654-7 (print)OAI: oai:DiVA.org:oru-29128DiVA, id: diva2:622533
Conference
12th IFAC Symposium on information control problems in manufacturing (INCOM 2006), 17-19 May 2006, Saint-Etienne, France
Available from: 2013-05-22 Created: 2013-05-22 Last updated: 2018-01-11Bibliographically approved

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