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Understanding the relationship between Product-Service System value and operational data using network graphs
Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering.ORCID iD: 0000-0002-2579-2310
Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering.ORCID iD: 0000-0001-7581-439x
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
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2022 (English)In: Procedia CIRP, Elsevier, 2022, Vol. 109, p. 544-549Conference paper, Published paper (Refereed)
Abstract [en]

With the advances of telemetries and computational power, the question for firms is no longer what can be collected but what shall be collected. It is easy to add sensors and gather a vast amount of data but without knowing their purpose, the gains are marginal. In the field of Value-Driven Design, value is quantified and measured to ensure an overall higher output, something crucial for complex and ambiguous domains such as Product-Service Systems. This paper aims at finding the connection between PSS value and operational data from an industrial perspective. By using Participatory Action Research in a manufacturing firm, a value-data framework and method were developed that succeed in connecting these two extremities as well as visualize them with the support of network graph theory.

Place, publisher, year, edition, pages
Elsevier, 2022. Vol. 109, p. 544-549
Series
Procedia CIRP, E-ISSN 22128271 ; 109
National Category
Other Mechanical Engineering
Research subject
Mechanical Engineering
Identifiers
URN: urn:nbn:se:bth-23296DOI: 10.1016/j.procir.2022.05.292Scopus ID: 2-s2.0-85133501072OAI: oai:DiVA.org:bth-23296DiVA, id: diva2:1675525
Conference
32nd CIRP Design Conference, CIRP Design 2022, Gif-sur-Yvette, 28 March through 30 March 2022
Part of project
Model Driven Development and Decision Support – MD3S, Knowledge Foundation
Funder
Knowledge Foundation, 20180159
Note

open access

Available from: 2022-06-23 Created: 2022-06-23 Last updated: 2022-08-30Bibliographically approved

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fulltext(4986 kB)139 downloads
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Toller, Carl Nils KonradMachchhar, Raj JitenBertoni, AlessandroBertoni, Marco

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