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A Failure Analysis Method for Designing Highly Reliable Product-Service Systems
Tokyo Metropolitan University.ORCID iD: 0000-0002-3348-0800
Linköping University, Department of Management and Engineering, Environmental Technology and Management.ORCID iD: 0000-0002-5991-5542
(English)In: Research in Engineering Design, ISSN 0934-9839, E-ISSN 1435-6066Article in journal (Refereed) In press
Abstract [en]

Recently, Product-Service Systems (PSSs), which create value by integrating a physical product and a service, have been attracting attention. In PSSs, it is critical for a provider to offer highly reliable products and services. To do so, the provider needs to effectively and efficiently detect possible failures, and then, take adequate measures against them in the conceptual design stage. However, in current studies on product failure analysis, service aspects are not covered in analyzing failure causes and developing measures. On the other hand, product aspects are hardly considered in existing methods of service failure analysis. To fill the gap, this paper proposes a method for failure analysis in PSS design called PSS Failure Mode and Effect Analysis (PSS FMEA). Especially, this paper extends the framework of FMEA, and then, a procedure for PSS FMEA is introduced so that designers can analyze failures and develop measures in consideration of both product and service aspects. Furthermore, the proposed method supports designers in finding new business opportunities. The proposed method was applied to a real offering of products and services by a cleaning machine provider and found effective.

Place, publisher, year, edition, pages
Springer.
Keyword [en]
Product-Service Systems, Design, Reliability, FMEA, Business opportunity
National Category
Other Engineering and Technologies not elsewhere specified
Identifiers
URN: urn:nbn:se:liu:diva-139057DOI: 10.1007/s00163-017-0261-8OAI: oai:DiVA.org:liu-139057DiVA: diva2:1117718
Funder
Mistra - The Swedish Foundation for Strategic Environmental Research, DIA 2014/16
Note

This work was supported by JSPS Grant-in-Aid for Young Scientists (B), Number 15K16093. It was also supported in part by the Mistra REES (Resource Efficient and Effective Solutions) program (DIA 2014/16) funded by Mistra in Sweden (The Swedish Foundation for Strategic Environmental Research). The authors would like to thank the anonymous company for providing this research with invaluable data about their PSS and applying the newly proposed method to their PSS.

Available from: 2017-06-29 Created: 2017-06-29 Last updated: 2017-06-29

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CiteExportLink to record
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Citation style
  • apa
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