Towards a Methodology for Selecting Product Usage Information Sources for the (Re-)Design of Product Service Systems

Conference Paper (2016)
Author(s)

Karl A. Hribernik (BIBA – Bremer Institut für Produktion und Logistik GmbH)

Wilfred van der Vegte (TU Delft - Cyber-Physical Systems)

Dimitris Kiritsis (École Polytechnique Fédérale de Lausanne)

Klaus-Dieter Thoben (University of Bremen)

Research Group
Cyber-Physical Systems
Copyright
© 2016 Karl A. Hribernik, Wilhelm Frederik van der Vegte, Dimitris Kiritsis, Klaus-Dieter Thoben
More Info
expand_more
Publication Year
2016
Language
English
Copyright
© 2016 Karl A. Hribernik, Wilhelm Frederik van der Vegte, Dimitris Kiritsis, Klaus-Dieter Thoben
Research Group
Cyber-Physical Systems
Pages (from-to)
455-460
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

A product’s value is increasingly determined by the services supporting it. Complex Product-Service Systems (PSS) – combinations of services and products – are in demand. Product usage information (PUI), that is, information about how an individual product is used, is rapidly becoming a valuable asset to industry to help inform service offers throughout the product lifecycle. Conventionally, information about how a product is used is gathered in customer relations and MRO (maintenance, repair and overhaul) processes via channels such as repair logs, call centres or helpdesks. Today, new channels of PUI are emerging from the digitalization of products, the Internet of Things, Cyber-Physical Systems, Internet PUI sources and social media. However, there is a lack of a methodological approach which companies use to select the right PUI source for the design of services, and vice-versa, to understand which value-added services can be offered using information already generated by sensors embedded into their products or available on the Internet or in social media. This contribution is intended to show an avenue of research towards such a methodology.

Files

ICE_2016_Conference_Proceeding... (pdf)
(pdf | 0.492 Mb)
- Embargo expired in 31-12-2017
License info not available