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DEA efficiency analysis involving multiple production processes

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  • Darold Barnum
  • John Gleason

Abstract

This article addresses Data Envelopment Analysis (DEA) efficiency analysis in organizations with multiple production processes. It shows how to measure the impact on an organization's overall efficiency of (a) inefficient and superefficient subunits and (b) the efficiency with which input resources are allocated to the subunits. It introduces a simple model for efficiently allocating inputs among subunits and applies the entire analytical process to a large urban transit agency.

Suggested Citation

  • Darold Barnum & John Gleason, 2010. "DEA efficiency analysis involving multiple production processes," Applied Economics Letters, Taylor & Francis Journals, vol. 17(7), pages 627-632.
    • Handle: RePEc:taf:apeclt:v:17:y:2010:i:7:p:627-632
    DOI: 10.1080/13504850802297905
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    Cited by:

    1. Padilla-Hernández, Salvador & Venegas-Martínez, Francisco & Gómez-Monge, Rodrigo (ed.), 2011. "Avances recientes en teoría y práctica económica," Sección de Estudios de Posgrado e Investigación de la Escuela Superios de Economía del Instituto Politécnico Nacional, Escuela Superior de Economía, Instituto Politécnico Nacional, edition 1, volume 2, number 006, January.
    2. Wang Hong Li & Liang Liang & Sonia Valeria Avilés-Sacoto & Raha Imanirad & Wade D. Cook & Joe Zhu, 2017. "Modeling efficiency in the presence of multiple partial input to output processes," Annals of Operations Research, Springer, vol. 250(1), pages 235-248, March.
    3. Barnum, Darold T. & Karlaftis, Matthew G. & Tandon, Sonali, 2011. "Improving the efficiency of metropolitan area transit by joint analysis of its multiple providers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(6), pages 1160-1176.

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