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dc.contributor.authorJalali, Hamed
dc.contributor.authorRaïsa, Carmen
dc.contributor.authorVan Nieuwenhuyse, Inneke
dc.contributor.authorBoute, Robert
dc.date.accessioned2018-06-15T12:36:33Z
dc.date.available2018-06-15T12:36:33Z
dc.date.issued2019
dc.identifier.issn0377-2217
dc.identifier.doi10.1016/j.ejor.2018.06.013
dc.identifier.urihttp://hdl.handle.net/20.500.12127/5995
dc.description.abstractIn this article, we consider the impact of finite production capacity on the optimal quality and pricing decisions of a make-to-stock manufacturer. Products are differentiated along a quality index; depending on the price and quality levels of the products offered, customers decide to either buy a given product, or not to buy at all. We show that, assuming fixed exogenous lead times and normally distributed product demands, the optimal solution has a simple structure (this is referred to as the load-independent system). Using numerical experiments, we show that with limited production capacity (which implies load-dependent lead times) the manufacturer may have an incentive to limit the quality offered to customers, and to decrease market coverage, especially in settings where higher product quality leads to higher congestion in production. Our findings reveal that the simple solution assuming load-independent lead times is suboptimal, resulting in a profit loss; yet, this profit loss can be mitigated by constraining the system utilization when deciding on quality and price levels. Our results highlight the importance of the relationship between marketing decisions and load-dependent production lead times.
dc.language.isoen
dc.publisherElsevier
dc.subjectInventory
dc.subjectQuality and Pricing Decisions
dc.subjectMake-to-Stock
dc.subjectProductionmarketing
dc.subjectLoad-dependent Lead Time
dc.titleQuality and pricing decisions in production/inventory systems
dc.identifier.journalEuropean Journal of Operational Research
dc.source.volume272
dc.source.issue1
dc.source.beginpage195
dc.source.endpage206
dc.contributor.departmentNEOMA Business School
dc.contributor.departmentKU Leuven
dc.contributor.departmentHasselt University
vlerick.knowledgedomainOperations & Supply Chain Management
vlerick.typearticleVlerick strategic journal article
vlerick.vlerickdepartmentTOM
dc.identifier.vperid102358


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