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Data Mining in Product Service Systems Design: Literature Review and Research Questions
Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering. (Product Development Research Lab)ORCID iD: 0000-0001-5114-4811
Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering. (Product Development Research Lab)ORCID iD: 0000-0002-9662-4576
2017 (English)In: Procedia CIRP. / [ed] Tim C. McAloone, Daniela C.A. Pigosso, Niels Henrik Mortensen and Yoshiki Shimomura, Elsevier, 2017, Vol. 64, 306-311 p.Conference paper, Published paper (Refereed)
Abstract [en]

The paper presents a literature review about data mining applications in Product/Service-Systems (PSS) design. A systematic literature review, combined with snowballing techniques, has been run to identify relevant contributions in the area. The analysis has focused on the categorization of the contributions according to their impact on the PSS design process and according to their theoretical or empirical nature. A picture of the different research achievements for each stage of the PSS design process have been drawn, identifying the research gaps in respect to the challenges of PSS design. Based on the analysis the paper proposes a set of research questions for each PSS design stage with the intent of facilitating the application of data mining techniques in PSS design, and ultimately push forward the state of the art.

Place, publisher, year, edition, pages
Elsevier, 2017. Vol. 64, 306-311 p.
Series
Procedia CIRP, ISSN 2212-8271
Keyword [en]
Product-service systems design; data mining; research questions; literature review.
National Category
Other Mechanical Engineering
Identifiers
URN: urn:nbn:se:bth-14452DOI: 10.1016/j.procir.2017.03.131OAI: oai:DiVA.org:bth-14452DiVA: diva2:1107582
Conference
9th CIRP Conference on Industrial Product/Service-Systems (IPSS), Copenhagen
Projects
Model Driven Development and Decision Support - MD3S
Funder
Knowledge Foundation
Available from: 2017-06-09 Created: 2017-06-09 Last updated: 2017-08-23Bibliographically approved

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fulltext(1235 kB)434 downloads
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Publisher's full texthttp://www.sciencedirect.com/science/article/pii/S2212827117302809

Authority records BETA

Bertoni, AlessandroLarsson, Tobias

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