Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-8900
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dc.contributor.authorYang, Qin-
dc.contributor.authorBian, Xianjun-
dc.contributor.authorStark, Rainer-
dc.contributor.authorFresemann, Carina-
dc.contributor.authorSong, Fei-
dc.date.accessioned2019-08-26T08:27:04Z-
dc.date.available2019-08-26T08:27:04Z-
dc.date.issued2019-04-08-
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/9888-
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-8900-
dc.description.abstractIn view of the dynamic change of customer requirements (CRs) during the process of product use, in this paper we propose a Bayesian Nash equilibrium configuration model for product variant design driven by CRs. By analyzing CRs, the complete variant requirements of the products can be obtained. Combined with modularization and parameterization variant design methods, a parametric variant instance is proposed. Since cost and delivery time are affected by the product variant design, firms and customers are established as two decision-making bodies, and Bayesian Nash theory is introduced to the product configuration. The theory takes the product cost and customer satisfaction as the payoff function of the game, and based on the threshold value search of the customer satisfaction it determines the strategy set of the two parties. The Nash equilibrium solution equation is established and solved by a simulated annealing algorithm. The optimal product configuration scheme satisfying the interests of both sides of the game is obtained. Finally, the automatic guided vehicle (AGV) is taken as an example to illustrate the effectiveness and practicability of the method.en
dc.language.isoenen
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subject.ddc004 Datenverarbeitung; Informatikde
dc.subject.ddc330 Wirtschaftde
dc.subject.othercustomer requirementsen
dc.subject.othervariant designen
dc.subject.otherBayesian Nash equilibriumen
dc.subject.otherpayoff functionen
dc.subject.othersimulated annealing algorithmen
dc.titleConfiguration Equilibrium Model of Product Variant Design Driven by Customer Requirementsen
dc.typeArticleen
dc.date.updated2019-08-25T07:48:54Z-
tub.accessrights.dnbfreeen
tub.publisher.universityorinstitutionTechnische Universität Berlinen
dc.identifier.eissn2073-8994-
dc.type.versionpublishedVersionen
dcterms.bibliographicCitation.doi10.3390/sym11040508en
dcterms.bibliographicCitation.journaltitleSymmetryen
dcterms.bibliographicCitation.originalpublisherplaceBaselen
dcterms.bibliographicCitation.volume11en
dcterms.bibliographicCitation.originalpublishernameMDPIen
dcterms.bibliographicCitation.issue4en
dcterms.bibliographicCitation.articlenumber208en
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