Research Article Open Access

Distinguishing Congestion and Technical Inefficiency in Presence Undesirable Output

Faranak Hosseinzadeh Saljooghi1 and Mohammad Mahallati Rayeni2
  • 1 Department of Mathematics, University of Sistan and Baluchestan, Zahedan, Iran
  • 2 Department of Management, Technological Institution of Bahonar, Zahedan, Iran


Problem statement: This study focuses on problems of congestion and how they might be treated in universities, also investigates a methodology to measure undesirable outputs congestion in addition to inputs congestion, from both theoretical and empirical perspectives. Congestion indicates an economic state where inputs are overly invested. Evidence of congestion occurs whenever reducing some inputs can increase outputs. Approach: The main thrust of this study is to measure congestion in undesirable outputs and inputs by using Data Envelopment Analysis (DEA), by a proposed linear model. Results: We using a data set of university and jointly evaluate desirable university output (e.g., graduate) and the simultaneous undesirable output (e.g., dropout) that occurs. Conclusion: The results show that inefficiency is associated with congestion in the study departments of University; particular congestion in undesirable output has most correlation with the efficiency.

American Journal of Applied Sciences
Volume 8 No. 9, 2011, 903-909


Submitted On: 15 May 2011 Published On: 2 August 2011

How to Cite: Saljooghi, F. H. & Rayeni, M. M. (2011). Distinguishing Congestion and Technical Inefficiency in Presence Undesirable Output. American Journal of Applied Sciences, 8(9), 903-909.

  • 15 Citations



  • Data Envelopment Analysis (DEA)
  • undesirable output
  • medical science
  • traffic engineering
  • technical inefficiency
  • non-linear programming
  • Constant Returns to Scale (CRS)
  • marginal product
  • Decision-Making Units (DMUs)