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dc.contributor.authorDauzère-Pérès, Stéphane
dc.contributor.authorHassoun, Michael
dc.contributor.authorSendon, Alejandro
dc.date.accessioned2019-10-09T08:22:14Z
dc.date.available2019-10-09T08:22:14Z
dc.date.created2019-07-02T21:06:16Z
dc.date.issued2019
dc.identifier.citationDauzère-Pérès, S., Hassoun, M., & Sendon, A. (2019). A Lagrangian heuristic for minimising risk using multiple heterogeneous metrology tools. International Journal of Production Research, 1-17. https://doi.org/10.1080/00207543.2019.1614693nb_NO
dc.identifier.issn0020-7543
dc.identifier.urihttp://hdl.handle.net/11250/2621078
dc.description.abstractMotivated by the high investment and operational metrology cost, and subsequently the limited metrology capacity, in modern semiconductor manufacturing facilities, we model and solve the problem of optimally assigning the capacity of several imperfect metrology tools to minimise the risk in terms of expected product loss on heterogeneous production machines. In this paper, metrology tools can differ in terms of reliability and speed. The resulting problem can be reduced to a variant of the Generalized Assignment Problem (GAP), the Multiple Choice, Multiple Knapsack Problem (MCMKP). A Lagrangian heuristic, including multiple feasibility heuristics, is proposed to solve the problem that are tested on randomly generated instances.nb_NO
dc.language.isoengnb_NO
dc.titleA Lagrangian heuristic for minimising risk using multiple heterogeneous metrology toolsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.journalInternational Journal of Production Researchnb_NO
dc.identifier.doi10.1080/00207543.2019.1614693
dc.identifier.cristin1709614
cristin.unitcode158,13,0,0
cristin.unitnameInstitutt for regnskap, revisjon og foretaksøkonomi
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode2


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