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dc.contributor.authorVan den Broeke, Maud
dc.contributor.authorBoute, Robert
dc.contributor.authorCardoen, Brecht
dc.contributor.authorSamii, Behzad
dc.date.accessioned2017-12-02T15:00:19Z
dc.date.available2017-12-02T15:00:19Z
dc.date.issued2017
dc.identifier.doi10.1016/j.ejor.2016.10.003
dc.identifier.urihttp://hdl.handle.net/20.500.12127/5670
dc.description.abstractTo offer a wide product variety to customers in a cost-efficient way, companies have introduced platforms, defined as a base from which different products can be derived. We consider a product portfolio, consisting of a set of end products, where each product has a set of attributes (features), which can have different levels requested by the customers. We present a model to support companies in designing the cost-minimizing platform portfolio, consisting of a set of platforms, from which these products can be derived. Each platform has a set of technical design parameters, which can have different levels. The required parameter levels in the platform's design depend on the attribute needs of the products derived from the platform. Our model gives guidance to what extent the platforms should be under-designed, over-designed or the same with regard to the products (and its attribute levels) derived from them. The model quantifies the impact of these platform portfolio decisions on the relevant operational costs. Given the complexity of this problem for large-scale instances, we develop two fathoming rules to improve computational efficiency. These fathoming rules can be used in different solution algorithms. We illustrate their applicability in a branch-and-bound, simulated annealing and genetic algorithm. We demonstrate the value of our model and solution method with a practical case of a high-tech screen manufacturing company, that wants to design the cost-minimizing platform portfolio from which their product portfolio can be derived.
dc.language.isoen
dc.subjectOR in Research & Development
dc.subjectPlatform Design
dc.subjectMetaheuristic
dc.subjectFathoming Rules
dc.titleAn efficient solution method to design the cost-minimizing platform portfolio
dc.identifier.journalEuropean Journal of Operational Research
dc.source.volume259
dc.source.issue1
dc.source.beginpage236
dc.source.endpage250
vlerick.knowledgedomainOperations & Supply Chain Management
vlerick.typearticleVlerick strategic journal article
vlerick.vlerickdepartmentTOM
dc.identifier.vperid102358
dc.identifier.vperid120992
dc.identifier.vperid126207
dc.identifier.vperid121022
dc.identifier.vpubid6971


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