Auslegung wirtschaftlich-technologisch optimierter Fertigungsprozessfolgen mittels prozessübergreifender Modellierung

  • Design of economically and technologically optimized manufacturing process sequences using cross-process modeling

Beckers, Alexander; Bergs, Thomas (Thesis advisor); Boos, Wolfgang (Thesis advisor)

Aachen : Apprimus Verlag (2023)
Book, Dissertation / PhD Thesis

Dissertation, RWTH Aachen University, 2023


Planning and designing manufacturing processes in such a way that the required component characteristics are reliably produced with the optimized economic result is a key success factor of manufacturing companies. Currently, manufacturing processes in a process sequence are usually designed separately from one another and then combined at higher planning levels in the subsequent planning process. Intermediate component states in manufacturing process sequences as targets for the individual processes are often defined on the basis of experience and unsystematically in planning phases preceding the process design. This separate process design and the experience-based definition of intermediate component states do not take sufficient account of the technological and economic dependencies between the individual manufacturing processes. The cross-process consideration of manufacturing process sequences offers a high economic optimization potential for the manufacturing companies, since the individual processes are coordinated in a target-oriented way and optimized with regard to the economic efficiency of the entire process sequence. A methodical support for the design of manufacturing process sequences considering the technological and economic dependencies between the individual processes did not exist so far. Within the scope of this dissertation, a methodology was developed which supports practitioners in the design of economically and technologically optimized manufacturing process sequences. For this purpose, it was investigated how models of individual processes can be combined in order to generate cross-process models for the prognosis of component characteristics. In this context, it was analyzed how uncertainties regarding the models of individual processes can be evaluated with regard to their effects on the uncertainty of cross-process models. Based on the findings of these investigations, a procedure was developed that supports practitioners in the modeling of manufacturing process sequences with a focus on the prediction of the characteristics of the final component. Furthermore, a model as well as a procedure were developed which allow the evaluation of the economic efficiency of manufacturing process sequences depending on alternative process parameter combinations and thus for different process designs. Subsequently, a procedure was developed which evaluates the predicted component characteristics and the economic result of the process sequence in an integrated manner in order to determine the economically and technologically optimized process parameter combination which meets the manufacturing technology requirements.