Selection of industrial robot using axiomatic design principles in fuzzy environment

• Main Authors: Anant V. Khandekar, Shankar Chakraborty
• Format: Article
• Language: English
• Published: Growing Science 2015-04-01
• Series: Decision Science Letters
• Subjects: Industrial robot; Axiomatic design principles; Fuzzy set theory; Information content
• Online Access: http://www.growingscience.com/dsl/Vol4/dsl_2014_46.pdf

Nowadays, industrial robots are being pervasively used in almost every manufacturing organization for improving operational quality, safety and productivity. Depending on the nature of task to be performed, many varieties of robots are now commercially available from different manufacturers. For efficiently carrying out the designed task, a number of functional attributes of an industrial robot are also simultaneously responsible. Therefore, selection of an appropriate and competitive robot alternative becomes a complicated and equally challenging task for the decision makers. A quite strong model of multi-criteria decision-making is needed to deal with this problem of industrial robot evaluation and selection. In this paper, the applicability of fuzzy axiomatic design (FAD) principles is explored for solving a real time robot selection problem. Seven candidate robots which are commercially available for light assembly operations are evaluated with respect to a mix of nine criteria. All these criteria are either qualitative in nature or expressed as a range of numerical values. Suitability rankings of all the feasible alternatives are derived using FAD methodology, thus establishing it as a systematic and dependable tool for solving industrial robot selection problems in fuzzy environment.