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Developing a new chance constrained NDEA model to measure the performance of humanitarian supply chains

Author

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  • Mohammad Izadikhah
  • Majid Azadi
  • Vahid Shokri Kahi
  • Reza Farzipoor Saen

Abstract

Data envelopment analysis (DEA) is a method for measuring performance of decision making units (DMUs). Conventional DEA models view DMUs as black boxes. Network DEA (NDEA) models have been developed to overcome this shortfall. This paper develops a new NDEA model based on modified enhanced Russell measure model. This paper measures performance of humanitarian supply chains (HSCs) by an NDEA model. Capabilities of the proposed model are addressed by theorems. However, in the real world, there might be stochastic data. This paper presents a stochastic version of the proposed NDEA model to measure the performance of HSCs. We analyse main properties of our model. We present a case study to demonstrate the applicability of the proposed model.

Suggested Citation

  • Mohammad Izadikhah & Majid Azadi & Vahid Shokri Kahi & Reza Farzipoor Saen, 2019. "Developing a new chance constrained NDEA model to measure the performance of humanitarian supply chains," International Journal of Production Research, Taylor & Francis Journals, vol. 57(3), pages 662-682, February.
    • Handle: RePEc:taf:tprsxx:v:57:y:2019:i:3:p:662-682
    DOI: 10.1080/00207543.2018.1480840
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