A design of experiments based on the Normal-boundary-intersection method to identify optimum machine settings in manufacturing processes

Publikation: Beitrag zu KonferenzenPaperBeigetragenBegutachtung


Finding the appropriate machine settings for a given manufacturing process is an important issue in industrial production. A set of minimum and maximum machine settings correspond to the lower and upper quality limits that are specified for the produced product, and by this define the boundaries of all appropriate machine settings. This paper shows that these boundaries are the solution of a multi‐objective optimisation problem, which is called the optimum machine settings problem. However, for most processes there is no mathematical model of the manufacturing process available, which maps the setting parameters on the quality key figures in a way that allows to compute the optimisation problem. In this case, experiments may provide the required empirical data simultaneously while executing the optimisation procedure. Using a case study on heat sealing in industrial packaging, the paper shows, how to develop a design of experiments based on the Normal‐boundary‐intersection method (NBI), and how to generate the Pareto‐frontier by executing test according to this test plan. It addresses the specific limitations inherent in solving an optimisation problem by experiments. The behaviour of the method towards discrete and binary objectives and constraints is discussed.


PublikationsstatusVeröffentlicht - Sept. 2023


Titel93. Jahrestagung der Gesellschaft für Angewandte Mathematik und Mechanik (GAMM)
KurztitelGAMM 2023
Dauer30 Mai - 2 Juni 2023
BekanntheitsgradInternationale Veranstaltung
OrtTechnische Universität Dresden

Externe IDs

Mendeley 2497a8b7-1d32-3ec8-a2d4-8fb91b0821ff