A Cost-Engineering Method for Product-Service Systems Based on Stochastic Process Modelling: Bergamo's Bike-Sharing PSS

dc.creatorDavid Carlos Romero Díaz
dc.date2017
dc.date.accessioned2018-10-18T20:34:57Z
dc.date.available2018-10-18T20:34:57Z
dc.descriptionCost-determination in Product-Service Systems (PSS) presents a broad set of impacts across managerial and design decision-making processes. Most of the effort within PSS-costing literature is focused mainly on the development of techniques that address challenges regarding data availability, lifecycle representation, and uncertainty modelling. Less effort concentrates on the understanding of the PSS-cost nature and its differentiation from the traditional perspective of product-cost and service-cost. In that sense, the purpose of the paper is to provide a description of the PSS-cost nature, and construct a Cost-Engineering method aligned to such definition. This paper proposes a systems thinking approach in which the PSS-cost is observed as an emergent attribute that the PSS, as a complex system, exhibits when is operating. In order to capture the proposed PSS cost nature as an emergent attribute and derive useful managerial insights, a cost-engineering method based on Stochastic Process modelling, has been devised. The data output of the method represents all PSS-cost unrealized potential outcomes with their associated occurrence probability conditioned by a defined performance or/and functionality level. An empirical case study, the Bergamo's Bike-Sharing PSS, has been carried out in order to visualize the proposed method and its managerial implications. © 2017 The Authors.
dc.identifier.doi10.1016/j.procir.2017.03.066
dc.identifier.endpage422
dc.identifier.issn22128271
dc.identifier.startpage417
dc.identifier.urihttp://hdl.handle.net/11285/630404
dc.identifier.volume64
dc.languageeng
dc.publisherElsevier B.V.
dc.relationhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85021825018&doi=10.1016%2fj.procir.2017.03.066&partnerID=40&md5=4e442846951ae98605f73d0784dd1e0f
dc.relationInvestigadores
dc.relationEstudiantes
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.sourceProcedia CIRP
dc.subjectCost engineering
dc.subjectCosts
dc.subjectDiscrete event simulation
dc.subjectManagers
dc.subjectManufacture
dc.subjectProcess engineering
dc.subjectProduct design
dc.subjectRandom processes
dc.subjectStochastic models
dc.subjectStochastic systems
dc.subjectSystem theory
dc.subjectUncertainty analysis
dc.subjectCost models
dc.subjectEmpirical case studies
dc.subjectManagerial implications
dc.subjectOccurrence probability
dc.subjectProduct-service systems
dc.subjectProductservice system (PSS)
dc.subjectSystem costs
dc.subjectSystems thinking
dc.subjectCost benefit analysis
dc.subject.classification7 INGENIERÍA Y TECNOLOGÍA
dc.titleA Cost-Engineering Method for Product-Service Systems Based on Stochastic Process Modelling: Bergamo's Bike-Sharing PSS
dc.typeConferencia
refterms.dateFOA2018-10-18T20:34:57Z

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