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A novel fuzzy network SBM model for data envelopment analysis: A case study in Iran regional power companies

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  • Shermeh, H. Ebrahimzadeh
  • Najafi, S.E.
  • Alavidoost, M.H.

Abstract

One of the most powerful and applicable tools to evaluate the efficiency of decision making units (DMUs) is data envelopment analysis (DEA). In order to evaluate the efficiency of multi-division DMUs, it is essential to pay attention to the internal or linking activities among their different divisions, and also, we have presented a model of DEA, due to uncertainty in some input and output indexes of units, which beside paying attention to internal or linking activities, the data have been entered into the model in a fuzzy form. The suggested model is a slacks-based measure (SBM) model which deals with evaluating the efficiency of DMUs. At the end, a case study on the Iran regional power companies using the suggested model is presented. Mean whilst the proposed model is compared with other existing models and the results prove its advantages as well as the validity of our model.

Suggested Citation

  • Shermeh, H. Ebrahimzadeh & Najafi, S.E. & Alavidoost, M.H., 2016. "A novel fuzzy network SBM model for data envelopment analysis: A case study in Iran regional power companies," Energy, Elsevier, vol. 112(C), pages 686-697.
    • Handle: RePEc:eee:energy:v:112:y:2016:i:c:p:686-697
    DOI: 10.1016/j.energy.2016.06.087
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    Cited by:

    1. Zhang, Ruchuan & Wei, Qian & Li, Aijun & Ren, LiYing, 2022. "Measuring efficiency and technology inequality of China's electricity generation and transmission system: A new approach of network Data Envelopment Analysis prospect cross-efficiency models," Energy, Elsevier, vol. 246(C).
    2. Plácido Moreno & Sebastián Lozano, 2020. "Fuzzy Ranking Network DEA with General Structure," Mathematics, MDPI, vol. 8(12), pages 1-18, December.
    3. Hosseini, Keyvan & Stefaniec, Agnieszka, 2019. "Efficiency assessment of Iran's petroleum refining industry in the presence of unprofitable output: A dynamic two-stage slacks-based measure," Energy, Elsevier, vol. 189(C).
    4. Sun, Shufen & Huang, Chenchen, 2021. "Energy structure evaluation and optimization in BRICS: A dynamic analysis based on a slack based measurement DEA with undesirable outputs," Energy, Elsevier, vol. 216(C).
    5. Abbas Mardani & Dalia Streimikiene & Tomas Balezentis & Muhamad Zameri Mat Saman & Khalil Md Nor & Seyed Meysam Khoshnava, 2018. "Data Envelopment Analysis in Energy and Environmental Economics: An Overview of the State-of-the-Art and Recent Development Trends," Energies, MDPI, vol. 11(8), pages 1-21, August.
    6. Sebastian Cuadros & Yeny E. Rodríguez & Javier Contreras, 2020. "Dynamic Data Envelopment Analysis Model Involving Undesirable Outputs in the Electricity Power Generation Sector: The Case of Latin America and the Caribbean Countries," Energies, MDPI, vol. 13(24), pages 1-20, December.
    7. Mahmoudabadi, Mohammad Zarei & Azar, Adel & Emrouznejad, Ali, 2018. "A novel multilevel network slacks-based measure with an application in electric utility companies," Energy, Elsevier, vol. 158(C), pages 1120-1129.

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