Improved efficiency measures through directional distance formulation of data envelopment analysis

Ali Diabat, Udaya Shetty, T. Pakkala

Research output: Contribution to journalArticle


This paper develops a model for an improved efficiency measure through directional distance formulation of data envelopment analysis. It deals with cases where positive and negative values co-exist as production factors. The developed model has properties such as scalar quantity for measuring efficiency and it identifies all sources of inefficiency. The measure is weakly monotonic; units and translation do not vary with respect to inputs and outputs. The proposed model, under some restrictions, reduces to basic Data Envelopment Analysis (DEA) models such as Charnes-Cooper-Rhodes (CCR), Banker-Charnes-Cooper (BCC), and a slack based model (SBM). In addition to the above, the proposed model includes the closest targets for a given inefficient unit to achieve efficiency with less effort. The proposed model is validated using a case study done on Information Technology firms operating in India.

Original languageEnglish (US)
Pages (from-to)325-346
Number of pages22
JournalAnnals of Operations Research
Issue number1
StatePublished - Jan 1 2015



  • Data envelopment analysis
  • Directional distance function
  • Efficiency
  • Non-radial efficiency

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Management Science and Operations Research

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