Optimization of Complex Process, Based on Design Of Experiments, a Generic Methodology

TL;DR

This paper presents a generic methodology for optimizing complex manufacturing processes like MicroLED displays using design of experiments, data cleaning, and multi-objective optimization to improve overall efficiency.

Contribution

It introduces a holistic software-based workflow that chains process stages for comprehensive optimization, validated through experiments and expert validation.

Findings

Validated the methodology with real process experiments

Demonstrated improvements in process efficiency

Provided a scalable framework for complex process optimization

Abstract

MicroLED displays are the result of a complex manufacturing chain. Each stage of this process, if optimized, contributes to achieving the highest levels of final efficiencies. Common works carried out by Pollen Metrology, Aledia, and Universit{\'e} Clermont-Auvergne led to a generic process optimization workflow. This software solution offers a holistic approach where stages are chained together for gaining a complete optimal solution. This paper highlights key corners of the methodology, validated by the experiments and process experts: data cleaning and multi-objective optimization.