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Data-Based Method for the Implementation Planning of Engineering Changes in the Automotive Industry

Published online by Cambridge University Press:  26 May 2022

R. Capistrano Burgos ,
F. Sippl ,
O. Radisic-Aberger  and
T. Weisser
R. Capistrano Burgos*
Affiliation:
Technical University of Munich, Germany
F. Sippl
Affiliation:
Technical University of Munich, Germany
O. Radisic-Aberger
Affiliation:
University of Siegen, Germany
T. Weisser
Affiliation:
University of Siegen, Germany
*
raquelcapistranob@gmail.com

Abstract

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Each year, automotive OEMs implement a variety of Engineering Changes (ECs) in their production. In the timing of ECs, different KPIs are often in conflict with one another or even unknown to the OEMs. Therefore, OEMs struggle to identify the optimal date to implement an EC. This paper presents a method to determine the cost-optimal implementation date for each EC, considering time, cost, and quality KPIs based on a new EC classification rule-set. To evaluate the presented method, case-studies at a German automotive OEM were performed, two of which are discussed.

Keywords

engineering changechange managementcost managementimplementation planning
Type
Article
Information
Proceedings of the Design Society , Volume 2: DESIGN2022 , May 2022 , pp. 343 - 352
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), 2022.

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