Goal programming approaches for data envelopment analysis cross efficiency evaluation

ÖRKCÜ H. H., BAL H.

APPLIED MATHEMATICS AND COMPUTATION, vol.218, no.2, pp.346-356, 2011 (SCI-Expanded, Scopus) identifier identifier

  • Publication Type: Article / Article
  • Volume: 218 Issue: 2
  • Publication Date: 2011
  • Doi Number: 10.1016/j.amc.2011.05.070
  • Journal Name: APPLIED MATHEMATICS AND COMPUTATION
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.346-356
  • Keywords: Data envelopment analysis, Cross efficiency, Goal programming, Multiple optimal weights, Ranking, INCREASING DISCRIMINATION, DECISION-MAKING, DEA, RANKING, WEIGHTS, GAME, RESTRICTIONS, MODELS
  • Gazi University Affiliated: Yes

Abstract

Cross efficiency evaluation has long been proposed as an alternative method for ranking the decision making units (DMUs) in data envelopment analysis (DEA). This study proposes goal programming models that could be used in the second stage of the cross evaluation. Proposed goal programming models have different efficiency concepts as classical DEA, minmax and minsum efficiency criteria. Numerical examples are provided to illustrate the applications of the proposed goal programming cross efficiency models. (C) 2011 Elsevier Inc. All rights reserved.