A simple and robust fuzzy-AHP-based Taguchi approach for multi-objective optimisation of welding process parameters

In optimisation of manufacturing process parameters there are many response variables (or physical characteristics of the end product) that are under investigation at the same time. Therefore, to solve such a multi‐response optimisation problem, it felt necessary to develop a robust technique which allows the simultaneous optimisation of several responses. In this paper, a novel performance integrating strategy based on fuzzy‐AHP technique is introduced to the Taguchi method. Detailed methodology and advantages of this approach are highlighted during this study. A case study of parametric optimisation during submerged arc welding demonstrates the effectiveness of the proposed approach.