Fuzzy Computing in Data Science

16Comparative Analysis on Material Handling Device Selection Using Hybrid FMCDM Methodology

Bipradas Bairagi*

Department of Mechanical Engineering, Haldia Instritute of Technology, Haldia, India

Abstract

Nowadays, manufacturing industry worldwide is facing ferocious competition, due to which its existence is under question mark. In this circumstance, decision makers in the industry are constantly searching the way of making right decision in every aspect. Right selection of material handling device (MHD) is one of the major area of decision making. This chapter aims to make right decision by combining a number of conventional FMCDM tools, viz. FAHP, FTOPSIS, FMOORA, FVIKOR, FGT, and COPRAS-G techniques through group decision-making process to select the best material handling device. FAHP is used to evaluate criteria weights. To take the merits of diverse evaluation processes, this chapter systematically and reasonably combines all the five remaining tools to introduce a novel super-hybrid approach with the help of entropy method. Solution of an empirical problem on MHD selection is illustrated which establishes the applicability of the approach. The study finds that the present approach is useful and effective to select the best material handling device in FMCDM environment.

Keywords: FMCDM, fuzzy TOPSIS, fuzzy MOORA, fuzzy VIKOR, fuzzy grey theory, COPRAS-G

16.1 Introduction

Selection of proper Material Handling Device (MHD) is one of the most imperative managerial decisions. ...