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

Research output: Contribution to conferencesPaperContributedpeer-review


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.


Original languageEnglish
Number of pages9
Publication statusPublished - Sept 2023


Title93rd Annual Meeting of the International Association of Applied Mathematics and Mechanics
Abbreviated titleGAMM 2023
Conference number93
Duration30 May - 2 June 2023
Degree of recognitionInternational event
LocationTechnische Universität Dresden

External IDs

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