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

Mohammad Izadikhah, Majid Azadi, Vahid Shokri Kahi, Reza Farzipoor Saen*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)662-682
Number of pages21
JournalInternational Journal of Production Research
Issue number3
Publication statusPublished - Feb 1 2019


  • data envelopment analysis (DEA)
  • humanitarian disasters
  • humanitarian supply chain
  • network data envelopment analysis (NDEA)
  • performance measurement
  • stochastic network DEA

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

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