A Parallel Variable Neighborhood Search for Solving Real-World Production-Scheduling Problems

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dc.contributor.authorOsaba, Eneko
dc.contributor.authorLoizaga, Erlantz
dc.contributor.authorGoenaga, Xabier
dc.contributor.authorSanchez, Valentin
dc.contributor.editorCamacho, David
dc.contributor.editorTino, Peter
dc.contributor.editorAllmendinger, Richard
dc.contributor.editorYin, Hujun
dc.contributor.editorTallón-Ballesteros, Antonio J.
dc.contributor.editorTang, Ke
dc.contributor.editorCho, Sung-Bae
dc.contributor.editorNovais, Paulo
dc.contributor.editorNascimento, Susana
dc.contributor.institutionQuantum
dc.contributor.institutionADV_INTER_PLAT
dc.contributor.institutionHPA
dc.date.issued2021-11-23
dc.descriptionPublisher Copyright: © 2021, Springer Nature Switzerland AG.
dc.description.abstractIn recent years, industry has evolved towards the efficient digitalization and optimization of products and processes. This situation is the consequence of the huge amount of information available in indus trial environments and its efficient management for reaching unprece dented productivity levels. The momentum that enjoys this application field has led to the proposal of advanced methods for the dealing of robotic processes in industrial plants, optimal packaging of goods and the efficient scheduling of production plans, among many others. This paper is focused on the last of these categories. More concretely, we present a Parallel Variable Neighborhood Search for solving an industrial problem in which a fixed amount of materials should be constructed into a limited number of production lines. The construction of these materials has sev eral particularities, such as the need of some specific tools to be correctly produced. It is also relevant to underscore that the problem solved in this research corresponds to a real-world situation, and that it is currently deployed in a production plant in the Basque Country (Spain).en
dc.description.statusPeer reviewed
dc.format.extent9
dc.format.extent505187
dc.identifier.citationOsaba , E , Loizaga , E , Goenaga , X & Sanchez , V 2021 , A Parallel Variable Neighborhood Search for Solving Real-World Production-Scheduling Problems . in D Camacho , P Tino , R Allmendinger , H Yin , A J Tallón-Ballesteros , K Tang , S-B Cho , P Novais & S Nascimento (eds) , unknown . vol. 13113 , 0302-9743 , Springer Science and Business Media Deutschland GmbH , pp. 12-20 , 22nd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2021 , Virtual, Online , 25/11/21 . https://doi.org/10.1007/978-3-030-91608-4_2
dc.identifier.citationconference
dc.identifier.doi10.1007/978-3-030-91608-4_2
dc.identifier.isbn9783030916077
dc.identifier.otherresearchoutputwizard: 11556/1322
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85126446111&partnerID=8YFLogxK
dc.language.isoeng
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.relation.ispartofunknown
dc.relation.ispartofseries0302-9743
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subject.keywordsCombinatorial optimization
dc.subject.keywordsMetaheuristics
dc.subject.keywordsVariable neighborhood search
dc.subject.keywordsProduction-scheduling problems
dc.subject.keywordsCombinatorial optimization
dc.subject.keywordsMetaheuristics
dc.subject.keywordsVariable neighborhood search
dc.subject.keywordsProduction-scheduling problems
dc.subject.keywordsTheoretical Computer Science
dc.subject.keywordsGeneral Computer Science
dc.subject.keywordsFunding Info
dc.subject.keywordsWe would like to thank the Basque Government for its support through SMARTLAN project, ZL-2020/00735, and ELKARTEK program.
dc.subject.keywordsWe would like to thank the Basque Government for its support through SMARTLAN project, ZL-2020/00735, and ELKARTEK program.
dc.titleA Parallel Variable Neighborhood Search for Solving Real-World Production-Scheduling Problemsen
dc.typeconference output
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