DEA-based robot selection procedure incorporating fuzzy criteria values
1999 IEEE International Conference on Systems, Man, and Cybernetics 'Human Communication and Cybernetics', Tokyo, Japan, 12 - 15 October 1999, vol.1, (Full Text)
- Publication Type: Conference Paper / Full Text
- Volume: 1
- City: Tokyo
- Country: Japan
- Galatasaray University Affiliated: Yes
Abstract
Data Envelopment Analysis (DEA), which avoids the critical assumption that the performance parameters are mutually independent, appears as an effective decision tool for the robot selection problem. However, a robust robot selection procedure necessitates the consideration of both quantitative criteria such as cost and engineering attributes, and qualitative criteria, e.g. vendor-related attributes, in the decision process. Qualitative attributes may be indicated by using linguistic variables or fuzzy numbers. This paper introduces a revised DEA formulation incorporating both quantitative and qualitative factors to determine the best robot alternative. When multiple efficient robot alternatives are identified as a result of the analysis, cross efficiency analysis is used to discriminate between the alternatives, and thus, to determine the best robot alternative. A comprehensive example is presented to illustrate the decision-making procedure.