Title: Optimisation of welding mechanisms using analytic hierarchy process, technique for order preference by similarity to ideal solution and graph theory and matrix approach

Authors: A.G. Kamble; Siddhartha Gupta; Bhushan Trivedi; Pratik Jangale

Addresses: Department of Mechanical Engineering, Sinhgad Institute of Technology, Lonavala, Tal: Maval, Dist: Pune, Maharashtra State, 410401 India ' Department of Mechanical Engineering, Sinhgad Institute of Technology, Lonavala, Tal: Maval, Dist: Pune, Maharashtra State, 410401 India ' Department of Mechanical Engineering, Sinhgad Institute of Technology, Lonavala, Tal: Maval, Dist: Pune, Maharashtra State, 410401 India ' Department of Mechanical Engineering, Sinhgad Institute of Technology, Lonavala, Tal: Maval, Dist: Pune, Maharashtra State, 410401 India

Abstract: The selection of an optimal welding mechanism for engineering design problems from among two or more alternatives on the basis of two or more attributes is multiple attribute decision making problems. Various approaches have been proposed in the past to help address the issue of material selection. Welding techniques are mainly used to improve the service life of engineering components and to reduce their cost either by rebuilding repeatedly or by fabricating in such a way as to produce a composite wall section. Therefore, proper selection of welding mechanism for particular application is a problem in industry. This paper presents a welding mechanisms selection using analytic hierarchy process (AHP), technique for order preference by similarity to ideal solution (TOPSIS) and graph theory and matrix approach (GTMA) for a ship building industry which uses four welding mechanisms for similar applications.

Keywords: welding mechanisms; analytical hierarchy process; AHP; order preference; similarity; TOPSIS; GTMA method; welding optimisation; graph theory; shipbuilding industry.

DOI: 10.1504/IJMTM.2012.051437

International Journal of Manufacturing Technology and Management, 2012 Vol.26 No.1/2/3/4, pp.39 - 55

Published online: 26 Nov 2014 *

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