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MODEL-DRIVEN PRODUCT SERVICE SYSTEMS DESIGN: THE MODEL-DRIVEN DEVELOPMENT AND DECISION SUPPORT (MD3S) APPROACH

Published online by Cambridge University Press:  27 July 2021

Alessandro Bertoni*
Affiliation:
Blekinge Institute of Technology, Department of Mechanical Engineering
Tobias Larsson
Affiliation:
Blekinge Institute of Technology, Department of Mechanical Engineering
Johan Wall
Affiliation:
Blekinge Institute of Technology, Department of Mechanical Engineering
Christian Johansson Askling
Affiliation:
Blekinge Institute of Technology, Department of Mechanical Engineering
*
Bertoni, Alessandro, Blekinge Institute of Technology, Mechanical Engineering, Sweden, [email protected]

Abstract

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The paper presents a Model-Driven approach for Product-Service System (PSS) Design promoting an increased digitalization of the PSS design process based on the combination of data-driven design (DDD) activities and value-driven design (VDD) methods. The approach is the results of an 8-year long research profile named (omitted for blind review) featuring the collaboration between (omitted for blind review) and nine industrial companies, in the field of PSS Design. It combines VDD models and the supporting data-driven activities in the frame of PSS design and aligns with the product value stream and the knowledge value stream in the product innovation process as described by Kennedy et al. (2008). The paper provides a high-level overview of the approach describing the different stages and activities, and provides references to external scientific contributions for more exhaustive descriptions of the research rationale and validity. The approach is meant to ultimately drive the development and implementation of a simulation environment for cross-functional and multi-disciplinary decision making in PSS, named Model-Driven Decision Arena, describe in the concluding part of the paper.

Type
Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2021. Published by Cambridge University Press

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