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570. Measuring the efficiency of humanitarian supply chains in face of disasters using a network data envelopment analysis
Invited abstract in session TC-48: DEA applications in Environment and Sustainability II, stream Data Envelopment Analysis and its Application.
Tuesday, 12:30-14:00Room: 60 (building: 324)
Authors (first author is the speaker)
| 1. | Majid Azadi
|
Abstract
Over the past few there have been so many disasters around the globe mostly due to climate change and pandemics. To deal with natural and man-made disasters efficient humanitarian supply chains have attracted significant attention. To benefit from efficient humanitarian supply chains there has been focus on efficiency measurement using novel systems, frameworks and models. In spite of the significance of measuring efficiency in humanitarian supply chains, there are still some key barriers with the current efficiency measurement using novel systems, frameworks and models. The goal of the current study is developing a new network data envelopment analysis (NDEA) model that contains a number of distinctive advantages. In this paper the divisional and overall efficiency of humanitarian supply chains are measured using our novel model correctly. Moreover, our developed model can address all types of data in the process of measuring the efficiency of humanitarian supply chains. We presented a case for our developed model along with some managerial insights.
Keywords
- OR in Environment and Climate change
- Supply Chain Management
- Risk Analysis and Management
Status: accepted
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