An Effective Approach for Solving the Multi-Response Problem in Taguchi Method

This research proposes a simple, yet very effective, approach for solving the multi-response problem in the taguchi method. each quality response is transformed into signal-to-noise (s/n) ratio. the average s/n ratio is calculated for each factor level, and then weighted with respect to the level of the largest average s/n ratio for this factor. the average weight of each factor level, or level weight, is obtained from all responses. the factor level with the largest level weight is selected as the optimal level for that factor. three case studies in manufacturing are employed for illustration of the proposed approach; where in all of which provides it the largest total anticipated improvements. in contrast with other approaches in previous literature, the proposed approach not only reduces the complexity and effort of data analysis and the need for statistical skills, but also does not require estimation of a weight for each response, and thus eliminates human involvement in the decision making process for optimal factor levels. in conclusion, the simplicity and effectiveness of this approach shall make it attractive to practitioners for solving the multi-response problem in a wide range of applications on the taguchi method