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Using DEA and simulation in guiding operating units to improved performance

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  • A Greasley

    (Aston University)

Abstract

The potential for the use of DEA and simulation in a mutually supporting role in guiding operating units to improved performance is presented. An analysis following a three-stage process is suggested. Stage one involves obtaining the data for the DEA analysis. This can be sourced from historical data, simulated data or a combination of the two. Stage two involves the DEA analysis that identifies benchmark operating units. In the third stage simulation can now be used in order to offer practical guidance to operating units towards improved performance. This can be achieved by the use of sensitivity analysis of the benchmark unit using a simulation model to offer direct support as to the feasibility and efficiency of any variations in operating practices to be tested. Alternatively, the simulation can be used as a mechanism to transmit the practices of the benchmark unit to weaker performing units by building a simulation model of the weaker unit to the process design of the benchmark unit. The model can then compare performance of the current and benchmark process designs. Quantifying improvement in this way provides a useful driver to any process change initiative that is required to bring the performance of weaker units up to the best in class.

Suggested Citation

  • A Greasley, 2005. "Using DEA and simulation in guiding operating units to improved performance," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(6), pages 727-731, June.
    • Handle: RePEc:pal:jorsoc:v:56:y:2005:i:6:d:10.1057_palgrave.jors.2601857
    DOI: 10.1057/palgrave.jors.2601857
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    Cited by:

    1. Ravi Kumar Jain & Ramachandran Natarajan & Amlan Ghosh, 2016. "Decision Tree Analysis for Selection of Factors in DEA: An Application to Banks in India," Global Business Review, International Management Institute, vol. 17(5), pages 1162-1178, October.
    2. Santos, Sérgio P. & Belton, Valerie & Howick, Susan & Pilkington, Martin, 2018. "Measuring organisational performance using a mix of OR methods," Technological Forecasting and Social Change, Elsevier, vol. 131(C), pages 18-30.
    3. H Seol & H Lee & S Kim & Y Park, 2008. "The impact of information technology on organizational efficiency in public services: a DEA-based DT approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(2), pages 231-238, February.
    4. Small, Adrian & Wainwright, David, 2018. "Privacy and security of electronic patient records – Tailoring multimethodology to explore the socio-political problems associated with Role Based Access Control systems," European Journal of Operational Research, Elsevier, vol. 265(1), pages 344-360.

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