Analyzing the solutions of DEA through information visualization and data mining techniques: SmartDEA framework


Akcay A. E., ERTEK G., BÜYÜKÖZKAN FEYZİOĞLU G.

EXPERT SYSTEMS WITH APPLICATIONS, cilt.39, sa.9, ss.7763-7775, 2012 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 39 Sayı: 9
  • Basım Tarihi: 2012
  • Doi Numarası: 10.1016/j.eswa.2012.01.059
  • Dergi Adı: EXPERT SYSTEMS WITH APPLICATIONS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.7763-7775
  • Anahtar Kelimeler: Data envelopment analysis (DEA), Information visualization, Data mining, Decision support system framework, DATA ENVELOPMENT ANALYSIS, DECISION-MAKING, PERFORMANCE, MANAGEMENT, EFFICIENCY, SELECTION, RISK
  • Galatasaray Üniversitesi Adresli: Evet

Özet

Data envelopment analysis (DEA) has proven to be a useful tool for assessing efficiency or productivity of organizations, which is of vital practical importance in managerial decision making. DEA provides a significant amount of information from which analysts and managers derive insights and guidelines to promote their existing performances. Regarding to this fact, effective and methodologic analysis and interpretation of DEA results are very critical. The main objective of this study is then to develop a general decision support system (DSS) framework to analyze the results of basic DEA models. The paper formally shows how the results of DEA models should be structured so that these solutions can be examined and interpreted by analysts through information visualization and data mining techniques effectively. An innovative and convenient DEA solver, SmartDEA, is designed and developed in accordance with the proposed analysis framework. The developed software provides DEA results which are consistent with the framework and are ready-to-analyze with data mining tools, thanks to their specially designed table-based structures. The developed framework is tested and applied in a real world project for benchmarking the vendors of a leading Turkish automotive company. The results show the effectiveness and the efficacy of the proposed framework. (C) 2012 Elsevier Ltd. All rights reserved.