Practical common weight multi-criteria decision-making approach with an improved discriminating power for technology selection

Karsak E., Ahiska S.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, vol.43, no.8, pp.1537-1554, 2005 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 43 Issue: 8
  • Publication Date: 2005
  • Doi Number: 10.1080/13528160412331326478
  • Journal Name: INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.1537-1554
  • Keywords: technology selection, robot selection, multi-criteria decision-making, discriminating power, common performance attribute weights, DATA ENVELOPMENT ANALYSIS, ROBOT SELECTION, SYSTEM, JUSTIFICATION, EFFICIENCY, FRAMEWORK, MODELS, DEA
  • Galatasaray University Affiliated: Yes

Abstract

A practical common weight multi-criteria decision-making (MCDM) methodology with an improved discriminating power for technology selection is introduced. The proposed MCDM methodology enables the evaluation of the relative efficiency of decision-making units (DMUs) with respect to multiple outputs and a single exact input. Its robustness and discriminating power are illustrated via a previously reported robot evaluation problem by comparing the ranking obtained by the proposed MCDM framework with that obtained by the cross-efficiency analysis, which is a well-known data envelopment analysis-based methodology. The results indicate that the proposed methodology enables further ranking of data envelopment analysis-efficient DMUs with a notable saving in computations compared with cross-efficiency analysis. Finally, the proposed MCDM framework is extended to incorporate ordinal as well as exact outputs, and an application is presented to illustrate the methodology.