dc.creator | David Carlos Romero Díaz | |
dc.date | 2017 | |
dc.date.accessioned | 2018-10-18T20:34:57Z | |
dc.date.available | 2018-10-18T20:34:57Z | |
dc.identifier.issn | 22128271 | |
dc.identifier.doi | 10.1016/j.procir.2017.03.066 | |
dc.identifier.uri | http://hdl.handle.net/11285/630404 | |
dc.description | Cost-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.language | eng | |
dc.publisher | Elsevier B.V. | |
dc.relation | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85021825018&doi=10.1016%2fj.procir.2017.03.066&partnerID=40&md5=4e442846951ae98605f73d0784dd1e0f | |
dc.relation | Investigadores | |
dc.relation | Estudiantes | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0 | |
dc.source | Procedia CIRP | |
dc.subject | Cost engineering | |
dc.subject | Costs | |
dc.subject | Discrete event simulation | |
dc.subject | Managers | |
dc.subject | Manufacture | |
dc.subject | Process engineering | |
dc.subject | Product design | |
dc.subject | Random processes | |
dc.subject | Stochastic models | |
dc.subject | Stochastic systems | |
dc.subject | System theory | |
dc.subject | Uncertainty analysis | |
dc.subject | Cost models | |
dc.subject | Empirical case studies | |
dc.subject | Managerial implications | |
dc.subject | Occurrence probability | |
dc.subject | Product-service systems | |
dc.subject | Productservice system (PSS) | |
dc.subject | System costs | |
dc.subject | Systems thinking | |
dc.subject | Cost benefit analysis | |
dc.subject.classification | 7 INGENIERÍA Y TECNOLOGÍA | |
dc.title | A Cost-Engineering Method for Product-Service Systems Based on Stochastic Process Modelling: Bergamo's Bike-Sharing PSS | |
dc.type | Conferencia | |
dc.identifier.volume | 64 | |
dc.identifier.startpage | 417 | |
dc.identifier.endpage | 422 | |
refterms.dateFOA | 2018-10-18T20:34:57Z | |