Bayesian Optimization of Immature Multi-Stage Processes

The optimization of chained production processes is a fundamental and continually evolving challenge in modern manufacturing. This paper discusses the application of Bayesian optimization to the optimization of production processes, where the output of one stage directly influences the parameters of subsequent stages. Current research work explores concurrent exploration and optimization, cost considerations, and the integration of expert knowledge and multi-stage process models. This paper not only provides insights into the mathematical modeling of the problem, but also provides insights into the recent advancements for the same. This research opens the door to a range of applications and further exploration in the field of production process optimization.