A Collaborative Bayesian Optimization Dashboard for Manufacturing Process Optimization

Procedia CIRP, vol. 139, pp. 106–113

Abstract

A central task in production engineering is the parameterization of manufacturing processes and machinery. The parameterization has a significant impact on product quality, process efficiency, and profitability of the production. Bayesian optimization (BO) - an adaptive black-box optimization algorithm for efficient and performance-optimal parameterization - has emerged in recent years as a promising alternative to conventional experimental design methods such as design of experiments, one factor at a time, or trial and error. Because optimization of manufacturing processes falls under the responsibility of human process experts, close collaboration between BO and human experts is key to successful optimization. Although first approaches to collaborative BO exist, intuitive dashboards that communicate and explain parameter suggestions and optimization progress to process experts are missing. In this paper, we propose a three-phase pipeline for collaborative BO, motivate the need for a collaborative Bayesian process optimization dashboard and define a total of 15 requirements for the dashboard design. Based on this, we propose a design concept for the BO-dashboard comprising multiple metrics and visualizations to explain parameter suggestions, create transparency in the optimization process, and promote the accumulation of process knowledge. We showcase the implementation of the dashboard at the example of optimizing an ultra-short pulsed laser ablation process. By enhancing human-BO collaboration, we aim to promote the adoption of BO within the conservative industry of production engineering.

Authors 5

1. Lars Leyendecker corresponding Aachen Fraunhofer Instiute for Production Technology IPT

   Fraunhofer Institute for Production Technology IPT

   Affiliation as printed

   Fraunhofer Instiute for Production Technology IPT, Steinbachstraße 17, 52074 Aachen, Germany

2. Mohamed Amine Kooli Aachen Fraunhofer Instiute for Production Technology IPT

   Fraunhofer Institute for Production Technology IPT

   Affiliation as printed

   Fraunhofer Instiute for Production Technology IPT, Steinbachstraße 17, 52074 Aachen, Germany

3. Christian Wergers Aachen Fraunhofer Instiute for Production Technology IPT

   Fraunhofer Institute for Production Technology IPT

   Affiliation as printed

   Fraunhofer Instiute for Production Technology IPT, Steinbachstraße 17, 52074 Aachen, Germany

4. Dennis Grunert Aachen Fraunhofer Instiute for Production Technology IPT

   Fraunhofer Institute for Production Technology IPT

   Affiliation as printed

   Fraunhofer Instiute for Production Technology IPT, Steinbachstraße 17, 52074 Aachen, Germany

5. Robert Heinrich Schmitt Aachen Fraunhofer Instiute for Production Technology IPT Laboratory for Machine Tools and Production Engineering (WZL)

   Fraunhofer Institute for Production Technology IPT · RWTH Aachen University

   Affiliation as printed

   Fraunhofer Instiute for Production Technology IPT, Steinbachstraße 17, 52074 Aachen, Germany

   Laboratory for Machine Tools and Production Engineering (WZL), RWTH Aachen University, Campus-Boulevard 30, 52074 Aachen, Germany