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A CONTROL LIST FOR THE SYSTEMATIC IDENTIFICATION OF DISTURBANCE FACTORS

Published online by Cambridge University Press:  27 July 2021

Peter Welzbacher*
Affiliation:
Technical University of Darmstadt; Institute for Product Development and Machine Elements (pmd)
Gunnar Vorwerk-Handing
Affiliation:
Technical University of Darmstadt; Institute for Product Development and Machine Elements (pmd)
Eckhard Kirchner
Affiliation:
Technical University of Darmstadt; Institute for Product Development and Machine Elements (pmd)
*
Welzbacher, Peter, Technical University Darmstadt, Institute for Product Development and Machine Elements (pmd), Germany, peter.welzbacher@tu-darmstadt.de

Abstract

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The importance of considering disturbance factors in the product development process is often emphasized as one of the key factors to a functional and secure product. However, there is only a small number of tools to support the developer in the identification of disturbance factors and none of them yet ensures that the majority of occurring disturbance factors is considered. Thus, it is the aim of this contribution to provide a tool in form of a control list for the systematic identification of disturbance factors. At the beginning of this contribution, the terms “disturbance factor” and “uncertainty” are defined based on a literature review and different approaches for the classification of uncertainty are presented. Subsequently, the fundamentals of multipole based model theory are outlined. Moreover, a first approach in terms of a control list for a systematic identification of disturbance factors is discussed. Based on the discussed approach and taking the identified weaknesses as a starting point, a control list is presented that combines the existing basic concept of the control list with the fundamentals of multipole based model theory.

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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