Applications of non-monotonic reasoning to automotive product configuration using answer set programming

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dc.contributor.authorGençay, Eray
dc.contributor.authorSchüller, Peter
dc.contributor.authorErdem, Esra
dc.date.accessioned2021-01-08T21:51:22Z
dc.date.available2021-01-08T21:51:22Z
dc.date.issued2019
dc.departmentTAÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.descriptionSchuller, Peter/0000-0002-1837-126X; Gencay, Eray/0000-0002-1510-5628; Erdem, Esra/0000-0001-8384-7810en_US
dc.descriptionWOS:000459423700027en_US
dc.description.abstractIn automotive industry, validation and maintenance of product configuration data is a complex task. Both orders from the customers and new product line designs from the R&D department are subject to a set of configuration rules to be satisfied. In this work, non-monotonic computational logic, answer set programming in particular, is applied to industrial-scale automotive product configuration problems. This methodology provides basic validation of the product configuration documentation and validation of single product orders, where Reiter style diagnosis provides minimal changes needed to correct an invalid order or a product configuration rule set. In addition, a method for discovering groups of product configuration variables that are strongly related can be obtained by small modification of the basic logic program, and by the usage of cautious and brave reasoning methods. As a result, options that are used in every, or respectively in no configuration, can easily be identified, as well as groups of options that are always used together or not at all. Finally it is possible to single out mandatory and obsolete options, relative to a preselected set of included or excluded options. Experimental results on an industrial dataset show applicability, example results, and computational feasibility with computation times on the order of seconds using a state-of-the-art answer set solver on standard PC hardware.
dc.description.sponsorshipTUBITAK-2218 Fellowship for Postdoctoral Researchers; Turkish-German University Scientific Research Projects Commission [2015BM0014]; European Unions Horizon 2020 research and innovation programme [678867]; Scientific and Technological Research Council of Turkey (TUBITAK)Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [114E777]
dc.description.sponsorshipE. Gencay was supported by a TUBITAK-2218 Fellowship for Postdoctoral Researchers and by the Turkish-German University Scientific Research Projects Commission under Grant No. 2015BM0014. P. Schuller has received funding from the European Unions Horizon 2020 research and innovation programme under Grant Agreement No. 678867 and by The Scientific and Technological Research Council of Turkey (TUBITAK) under Grant 114E777.
dc.identifier.doi10.1007/s10845-017-1333-3
dc.identifier.endpage1422en_US
dc.identifier.issn0956-5515
dc.identifier.issn1572-8145
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-85019564282
dc.identifier.scopusqualityQ1
dc.identifier.startpage1407en_US
dc.identifier.urihttp://doi.org/10.1007/s10845-017-1333-3
dc.identifier.urihttps://hdl.handle.net/20.500.12846/198
dc.identifier.volume30en_US
dc.identifier.wosWOS:000459423700027
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorGençay, Eray
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofJournal Of Intelligent Manufacturing
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectProduct Configurationen_US
dc.subjectNon-Monotonic Logicen_US
dc.subjectAnswer Set Programmingen_US
dc.subjectAutomotive Productionen_US
dc.subjectConfiguration Managementen_US
dc.subjectMass Customizationen_US
dc.titleApplications of non-monotonic reasoning to automotive product configuration using answer set programming
dc.typeArticle

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