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

Arindam Majumder

International Journal of Productivity and Quality Management, 2017, vol. 20, issue 1, 116-137

Abstract: 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.

Keywords: Taguchi methods; multi-objective optimisation; fuzzy logic; submerged arc welding; SAW; fuzzy AHP; FAHP; analytical hierarchy process; welding process parameters; parametric optimisation. (search for similar items in EconPapers)
Date: 2017
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