Abstract

In recent years, the selection of a robot for particular industrial purposes is one of the most challenging problems in the manufacturing environment based on automation and smartness for real-time decision-making. At present, several types of industrial robots with various capabilities, features, facilities, and specifications are available in the market. This makes the decision-making process more and more complicated due to the increase in complexity, advanced technologies, and features that are continually being incorporated into the robots by several manufacturers. The decision-maker needs to identify and select the best-suited robot to attain the desired output with precise application ability, and minimum cost. This paper tries to solve the robot selection problem using Fuzzy Best-Worst Method and PROMETHEE as the two most appropriate multi-criteria decision-making (MCDM) methods for weighting criteria and ranking of decision alternatives, respectively.

Highlights

  • Nowadays, the utilization of robots with distinct capabilities, features, and specifications has increased massively because of the developments in information technology and engineering

  • The final goal of industrial robots evaluation and selection problem is to select a proper robot that is magnificently adaptable to the company's requirements

  • A proper procedure applied to determine the relative importance of decision making criteria and ranking of alternative robots

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Summary

Introduction

The utilization of robots with distinct capabilities, features, and specifications has increased massively because of the developments in information technology and engineering. A robot is usually selfcontrol, multipurpose, reprogrammable machine (Athawale and Chakraborty, 2011; Chatterjee et al, 2010; Rao, 2007). These features make the robot an essential tool to perform a variety of tasks in diverse industrial applications, including material handling, assembly, finishing, machine loading, spray painting, and welding. The implementation of IT by organizations is associated with such advantages as improved operation speed, increased reliability in the production process, improved quality, etc. One of the critical challenges faced by the managers for maintaining the competitive advantage is the selection of strategic machines and robots effectively

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