MULTI-STAGE AND MULTI-RESPONSE PROCESS OPTIMIZATION IN TAGUCHI METHOD
Keywords:
Taguchi Method, Process Optimization, BreweryAbstract
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