A satisfaction function and distance measure based multi-criteria robot selection procedure

• Published in: International journal of production research Vol. 49; no. 19; pp. 5821 - 5832
• Main Authors: Kentli, A., Kar, A.K.
• Format: Journal Article
• Language: English
• Published: Abingdon Taylor & Francis Group 01.10.2011; Taylor & Francis; Taylor & Francis LLC
• Subjects: Applied sciences; Computer science; control theory; systems; Control theory. Systems; Decision making; Decision theory. Utility theory; distance measure; Exact sciences and technology; Mathematical models; multi-criteria decision-making; Multiple criteria decision making; Operational research and scientific management; Operational research. Management science; Production management; robot selection; Robotics; Robots; satisfaction function; Studies; robot selection; Selection problem; multi-criteria decision-making; Multicriteria analysis; Decision making; Model selection; satisfaction function; Distance measurement; distance measure; Modeling; Robot; Robotics
• ISSN: 0020-7543; 1366-588X
• DOI: 10.1080/00207543.2010.530623

A multi-criteria decision-making model for a robot selection problem is presented in this article. The proposed model uses satisfaction function to convert various robot attributes into a unified scale. Further, a distance measure technique is used to ascertain the highest ranked candidate-robot. The proposed model is tested on the data from the open literature. An example case is presented and the results so obtained considering different attributes are compared with the results obtained earlier utilising the same data.