Multi-stage and multi-response process optimization in Taguchi Method

Abstract

Product quality is all about reducing variations of key performance indicators. However, product manufacturing often, requires multiple processes with multiple indicators, which make reducing variation a complex task. There are tools used to optimize a single stage process independently which ensure local optimization only. However, there is no clear approach that leads to system optimization.

The aim of this study is, therefore, to develop a tested approach to optimize multi-stage and multi-response industrial process. For this purpose, a conceptual model with its optimization procedure was developed and then validated by taking Harar Brewery as a case. Variations under each stage were evaluated before and after optimization. As a result, the new model with its optimization procedure is proven to ensure the stability of a process with reduced variation.

Keywords: Taguchi Method, Process Optimization, Brewery