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Modeling ‘ilities’ in early Product-Service Systems design
Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering.ORCID iD: 0000-0001-5114-4811
Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering.ORCID iD: 0000-0002-5076-3300
2019 (English)In: Procedia CiRP / [ed] Huang, GQ; Qu, T; Thurer, M; Xu, S; Khalgui, M, Elsevier, 2019, Vol. 83, p. 230-235Conference paper, Published paper (Refereed)
Abstract [en]

Product-Service Systems, like all complex systems, are vulnerable to unpredictable environmental changes that can seriously undermine their ability to continuously deliver value to customers. The long-term consequences of volatile markets, unanticipated technologies, and unpredictable changes in society must be captured, modeled and communicated to decision makers since the earliest stages of the design, so to identify sustainable PSS solutions able to deliver value for years or decades to come. The paper analyses the problem of PSS changeability from the perspective of established medium-large product manufacturers facing the transition toward result-oriented PSS offers. Building on established literature in the systems engineering field, the paper proposes the definition of the changeability criteria, also named ‘ilities’, that are relevant to consider for PSS engineers in the early stages of design. Furthermore, the paper describes a systematic framework for assessing ilities in early PSS design, elaborating on technological enablers for ilities modeling.

Place, publisher, year, edition, pages
Elsevier, 2019. Vol. 83, p. 230-235
Series
Procedia Cirp, ISSN 2212-8271 ; 83
Keywords [en]
Product-Service Systems; ilities; changeability; systems engineering; early design stages
National Category
Other Mechanical Engineering
Identifiers
URN: urn:nbn:se:bth-17940DOI: 10.1016/j.procir.2017.04.009ISI: 000568146700037OAI: oai:DiVA.org:bth-17940DiVA, id: diva2:1318905
Conference
11th CIRP Conference on Industrial Product-Service Systems, CIRP IPS2 2019; Zhuhai; China; 29 May 2019 through 31 May 2019
Part of project
Model Driven Development and Decision Support – MD3S, Knowledge Foundation
Funder
Knowledge Foundation
Note

open access

Available from: 2019-05-29 Created: 2019-05-29 Last updated: 2021-10-04Bibliographically approved

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Bertoni, AlessandroBertoni, Marco

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