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Using Data Envelopment Analysis to support the design of process improvement interventions in electricity distribution

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  • Amado, Carla A.F.
  • Santos, Sérgio P.
  • Sequeira, João F.C.

Abstract

A significant number of studies have documented the use of Data Envelopment Analysis (DEA) for efficiency measurement in the context of electricity distribution, particularly at the level of the distribution utilities. However, their aim has been predominantly descriptive and classificatory, without any attempt to ‘open’ the black box of the transformation process. In contrast, our aim is to explore the potential of DEA to contribute to the design of effective process improvement interventions within a distribution utility.

Suggested Citation

  • Amado, Carla A.F. & Santos, Sérgio P. & Sequeira, João F.C., 2013. "Using Data Envelopment Analysis to support the design of process improvement interventions in electricity distribution," European Journal of Operational Research, Elsevier, vol. 228(1), pages 226-235.
    • Handle: RePEc:eee:ejores:v:228:y:2013:i:1:p:226-235
    DOI: 10.1016/j.ejor.2013.01.015
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    2. Patyal, Vishal Singh & Kumar, Ravi & Lamba, Kuldeep & Maheshwari, Sunil, 2023. "Performance evaluation of Indian electricity distribution companies: An integrated DEA-IRP-TOPSIS approach," Energy Economics, Elsevier, vol. 124(C).
    3. L sara Fabr cia Rodrigues & Matheus Alves Madeira de Souza & Thamara Paula dos Santos Dias, 2017. "Performance Assessment of Brazilian Power Transmission and Distribution Segments using Data Envelopment Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 7(3), pages 14-23.
    4. Jaime Sánchez-Ortiz & Teresa García-Valderrama & Vanessa Rodríguez-Cornejo & Yolanda Giner-Manso, 2020. "The effects of environmental regulation on the efficiency of distribution electricity companies in Spain," Energy & Environment, , vol. 31(1), pages 3-20, February.
    5. Arcos-Vargas, A. & Núñez-Hernández, F. & Villa-Caro, Gabriel, 2017. "A DEA analysis of electricity distribution in Spain: An industrial policy recommendation," Energy Policy, Elsevier, vol. 102(C), pages 583-592.
    6. Ruey-Chyn Tsaur & I-Fei Chen & Yu-Shan Chan, 2017. "TFT-LCD industry performance analysis and evaluation using GRA and DEA models," International Journal of Production Research, Taylor & Francis Journals, vol. 55(15), pages 4378-4391, August.
    7. Manuel Xavier, José & Ferreira Moutinho, Victor & Carrizo Moreira, António, 2015. "An empirical examination of performance in the clothing retailing industry: A case study," Journal of Retailing and Consumer Services, Elsevier, vol. 25(C), pages 96-105.
    8. Chen, Kun & Ren, Xian-tong & Yang, Guo-liang, 2021. "A novel approach for assessing academic journals: Application of integer DEA model for management science and operations research field," Journal of Informetrics, Elsevier, vol. 15(3).
    9. Márcia N. F. Manoel & Sérgio P. Santos & Carla A. F. Amado, 2023. "Assessing the impact of COVID-19 on the performance of organ transplant services using data envelopment analysis," Health Care Management Science, Springer, vol. 26(2), pages 217-237, June.
    10. Gouveia, M.C. & Dias, L.C. & Antunes, C.H. & Boucinha, J. & Inácio, C.F., 2015. "Benchmarking of maintenance and outage repair in an electricity distribution company using the value-based DEA method," Omega, Elsevier, vol. 53(C), pages 104-114.
    11. Yao, Xin & Huang, Ruting & Du, Kerui, 2019. "The impacts of market power on power grid efficiency: Evidence from China," China Economic Review, Elsevier, vol. 55(C), pages 99-110.
    12. Wang, H. & Zhou, P. & Xie, Bai-Chen & Zhang, N., 2019. "Assessing drivers of CO2 emissions in China's electricity sector: A metafrontier production-theoretical decomposition analysis," European Journal of Operational Research, Elsevier, vol. 275(3), pages 1096-1107.
    13. Amado, Carla A.F. & São José, José M.S. & Santos, Sérgio P., 2016. "Measuring active ageing: A Data Envelopment Analysis approach," European Journal of Operational Research, Elsevier, vol. 255(1), pages 207-223.
    14. Zhou, Kaile & Yang, Shanlin & Shao, Zhen, 2016. "Energy Internet: The business perspective," Applied Energy, Elsevier, vol. 178(C), pages 212-222.

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