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SELECTION OF REFERENCE SYSTEM ELEMENTS IN THE MODEL OF PGE - PRODUCT GENERATION ENGINEERING: METHOD FOR THE INTEGRATION OF CUSTOMER AND USER SATISFACTION IN PRODUCT PLANNING

Published online by Cambridge University Press:  27 July 2021

Albert Albers
Affiliation:
Karlsruhe Institute of Technology (KIT);
Valentin Zimmermann*
Affiliation:
Karlsruhe Institute of Technology (KIT);
Florian Marthaler
Affiliation:
Karlsruhe Institute of Technology (KIT);
Nikola Bursac
Affiliation:
TRUMPF Werkzeugmaschinen GmbH + Co. KG
Katharina Duehr
Affiliation:
Karlsruhe Institute of Technology (KIT);
Markus Spadinger
Affiliation:
Karlsruhe Institute of Technology (KIT);
*
Zimmermann, Valentin, Karlsruhe Institute of Technology (KIT), IPEK Institute of Product Engineering, Germany, valentin.zimmermann@partner.kit.edu

Abstract

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In the development of mechatronic systems, it is important to differentiate the products to be developed from those of the competitors, but also from the own product generations already available on the market. However, there are uncertainties regarding the correct features to be differentiated from the customer and user perspective and how these features should be designed. Nevertheless, despite the high impact, decisions must be taken early in the development process. Within this publication, a method to support in this respect was derived based on the findings of the Model of PGE - Product Generation Engineering and the Kano-Model. Therefore, experienceable product features and reference system elements as characteristics of these are evaluated according to the Kano-Model and thus made comparable with regard to the customers and user satisfaction. The objective is to select the product features to be differentiated and the corresponding reference system elements in such a way that a desired level of customer and user satisfaction is achieved. In order to evaluate the method, it was applied in a real development project. It was found that the application of the method led to a reduction of the existing uncertainty.

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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