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The Data-Driven Product-Service Systems Design and Delivery (4DPSS) Methodology
University of Bergamo, ITA.
Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering.ORCID iD: 0000-0001-5114-4811
University of Bergamo, ITA.
University of Bergamo, ITA.
2020 (English)In: IFIP Advances in Information and Communication Technology / [ed] LalicB.,Marjanovic U.,Majstorovic V.,von Cieminski G.,Romero D., Springer , 2020, Vol. 592, p. 314-321Conference paper, Published paper (Refereed)
Abstract [en]

The design of Product-Service Systems (PSS) has been approached from several perspectives like the process, innovation, engineering and operational ones providing, for each one of those, a specific view on the problem. This paper proposes a Data-Driven Product-Service System Design and Delivery (4DPSS) methodology focusing on the collection and exploitation of delivery data to feed the design phase. The logic of the methodology relies on aggregating operational data (collected in the delivery phase) to build a consistent body of knowledge to be exploited in iterative PSS design activities, thanks to better identification of customer needs, and product and service process design issues. This paper presents the 4DPSS methodology at a theoretical level, the implementations of the different methods constituting the methodology are referred to in the text, while its implementation and test as a whole are demanded to future work. © 2020, IFIP International Federation for Information Processing.

Place, publisher, year, edition, pages
Springer , 2020. Vol. 592, p. 314-321
Series
IFIP Advances in Information and Communication Technology, ISSN 1868-4238, E-ISSN 1868-422X
Keywords [en]
Data-driven delivery, Data-driven design, Product-service system, Industrial management, Iterative methods, Systems analysis, Body of knowledge, Customer need, Design issues, Design of product, Design phase, Operational data, Product and services, Product-service systems, Product design
National Category
Other Mechanical Engineering
Identifiers
URN: urn:nbn:se:bth-20395DOI: 10.1007/978-3-030-57997-5_37ISI: 000681218300037Scopus ID: 2-s2.0-85090169637ISBN: 9783030579968 OAI: oai:DiVA.org:bth-20395DiVA, id: diva2:1466386
Conference
IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2020; Novi Sad; Serbia; 30 August 2020 through 3 September 2020
Part of project
Model Driven Development and Decision Support – MD3S, Knowledge FoundationAvailable from: 2020-09-11 Created: 2020-09-11 Last updated: 2023-03-24Bibliographically approved

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Bertoni, Alessandro

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