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A Review Of DEA Approaches For Health Supply Chain
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J. Pourmahmoud   , M GholamAzad |
| Department of Applied Mathematics, Azarbaijan Shahid Madani University, Tabriz, Iran |
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Abstract: (4265 Views) |
| More than 200 papers have been published in the last 20 years on the topic of health supply chains (HSC). Looking at the research methodologies employed, less than 15 papers apply data envelopment analysis (DEA) models. This is in contrast to, for example, A network data envelopment analysis (NDEA) model for supply chain performance evaluation where several reviews on respective NDEA models have already been provided. The paper summarizes research on DEA, NDEA, simulation data envelopment analysis (SI-DEA) and stochastic data envelopment analysis (S-DEA) models for health supply chains and thereby contributes to the further substantiation of the field. On the modeling side, there are four dominant approaches: Classic-DEA models, NDEA models, SI-DEA models and S-DEA models. The paper ends with suggestions for future research. |
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| Keywords: Data Envelopment Analysis, Classic DEA Model, NDEA Model, SI-DEA Model, S-DEA Model, Health Supply Chain |
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Full-Text [PDF 464 kb]
(1542 Downloads)
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Type of Study: Research |
Subject:
Special
Received: 2017/12/19 | Accepted: 2018/03/21 | Published: 2018/04/18
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