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

Authors: Arindam Majumder

Addresses: National Institute of Technology, Agartala, Tripura West, Tripura, 799055, India

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.

DOI: 10.1504/IJPQM.2017.080695

International Journal of Productivity and Quality Management, 2017 Vol.20 No.1, pp.116 - 137

Received: 11 Apr 2015
Accepted: 06 Jun 2015

Published online: 07 Nov 2016 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article