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

DS 116: Proceedings of the DESIGN2022 17th International Design Conference

Year: 2022
Editor: Mario Štorga, Stanko Škec, Tomislav Martinec, Dorian Marjanović
Author: Raquel Capistrano Burgos (1), Fabian Sippl (1), Ognjen Radisic-Aberger (2), Tim Weisser (2)
Series: DESIGN
Institution: 1: Technical University of Munich, Germany; 2: University of Siegen, Germany
Section: Design Support Tools and Methods
Page(s): 343-352
DOI number: https://doi.org/10.1017/pds.2022.36
ISSN: 2732-527X (Online)

Abstract

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 change, change management, cost management, implementation planning