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A web-based simulation optimization system for industrial scheduling
Högskolan i Skövde, Institutionen för teknik och samhälle.ORCID-id: 0000-0002-4086-3877
Högskolan i Skövde, Institutionen för teknik och samhälle.
Högskolan i Skövde, Institutionen för teknik och samhälle.ORCID-id: 0000-0003-3973-3394
Högskolan i Skövde, Institutionen för teknik och samhälle.ORCID-id: 0000-0003-0111-1776
2007 (engelsk)Inngår i: Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come, IEEE Press, 2007, s. 1844-1852Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Many real-world production systems are complex in nature and it is a real challenge to find an efficient scheduling method that satisfies the production requirements as well as utilizes the resources efficiently. Tools like discrete event simulation (DES) are very useful for modeling these systems and can be used to test and compare different schedules before dispatching the best schedules to the targeted systems. DES alone, however, cannot be used to find the "optimal" schedule. Simulation-based optimization (SO) can be used to search for optimal schedules efficiently without too much user intervention. Observing that long computing time may prohibit the interest in using SO for industrial scheduling, various techniques to speed up the SO process have to be explored. This paper presents a case study that shows the use of a Web-based parallel and distributed SO platform to support the operations scheduling of a machining line in an automotive factory.

sted, utgiver, år, opplag, sider
IEEE Press, 2007. s. 1844-1852
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Identifikatorer
URN: urn:nbn:se:his:diva-2803DOI: 10.1109/WSC.2007.4419811ISI: 000256071801057Scopus ID: 2-s2.0-49749108559ISBN: 1-4244-1306-0 OAI: oai:DiVA.org:his-2803DiVA, id: diva2:200991
Konferanse
2007 Winter Simulation Conference, WSC, Washington, DC, 9 December 2007 through 12 December 2007
Tilgjengelig fra: 2009-03-02 Laget: 2009-03-02 Sist oppdatert: 2018-01-13bibliografisk kontrollert

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