Data-Based Method for the Implementation Planning of Engineering Changes in the Automotive Industry
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 me...
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| Veröffentlicht in: | Proceedings of the Design Society 2022-05, Vol.2, p.343-352 |
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| creator | Capistrano Burgos, R. Sippl, F. Radisic-Aberger, O. Weisser, T. |
| description | 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. |
| doi_str_mv | 10.1017/pds.2022.36 |
| format | Article |
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| source | Cambridge University Press Wholly Gold Open Access Journals; Alma/SFX Local Collection; ProQuest Central |
| subjects | Automobile industry Costs Engineering Manufacturing Methods OEM Optimization Product development Software |
| title | Data-Based Method for the Implementation Planning of Engineering Changes in the Automotive Industry |
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