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%0 Thesis
%A Mendl-Heinisch, Michael Otto
%T Bewertung technischer Produktänderungen mittels prädiktiver Datenanalyse; 1. Auflage
%V 2025,7
%I RWTH Aachen University
%V Dissertation
%C Aachen
%M RWTH-2025-03209
%@ 978-3-98555-267-2
%B Ergebnisse aus der Produktionstechnik
%P 1 Online-Ressource : Illustrationen
%D 2025
%Z Druckausgabe: 2025. - Auch veröffentlicht auf dem Publikationsserver der RWTH Aachen University
%Z Dissertation, RWTH Aachen University, 2024
%X Manufacturing companies face a variety of challenges when managing changes along the product development process. Strong market dynamics and the shortening of product life cycles are increasingly exacerbating these challenges. Against this background and in view of the increasing transformation of the market from a seller's to a buyer's market, the effective and efficient processing of technical changes is now a mandatory task. However, modern data analysis methods such as the Random Forest Algorithm are generally not yet used for forecasting. With reference to the initial situation described above, the aim of this work was to efficiently design the handling of technical changes. This includes in particular the selection of the technical changes to be processed as well as minimizing the overall change costs by bundling technical changes with similar resource requirements. The methodology focused on the allocation of technical changes using a description model and the determination of basic types of technical changes. Furthermore, the costs and benefits of technical changes were described, whereby the costs were determined using predictive data analysis. Finally, the technical changes were bundled to minimize the overall change effort. In chapter 1 of this thesis, the motivation for the work was presented and the objectives were derived from this. Chapter 2 introduced the relevant principles and definitions. For this purpose, the object area and the target area as well as the solution hypothesis of the thesis were developed. Technical change management was first described as part of product development in order to then emphasize the importance of technical changes. In chapter 3, theoretical and practical deficits were identified in order to ensure the relevance of the work. The findings of the first chapters were used in Chapter 4 to design the methodology. Chapter 5 detailed the methodology for evaluating technical changes using predictive data analysis. To ensure the applicability of the methodology, a validation of the methodology was carried out in chapter 6. The insights gained here were then critically reviewed and further optimization potentials for the methodology were developed.
%F PUB:(DE-HGF)11 ; PUB:(DE-HGF)3
%9 Dissertation / PhD ThesisBook
%R 10.18154/RWTH-2025-03209
%U https://publications.rwth-aachen.de/record/1008873