Using network data envelopment analysis to assess the sustainability and resilience of healthcare supply chains in response to the COVID-19 pandemic
DOI10.1007/s10479-022-05020-8zbMath1521.90078OpenAlexW4307018418MaRDI QIDQ6179169
Alessio Ishizaka, Angappa Gunasekaran, Majid Azadi, Sachin Kumar Mangla, Reza Farzipoor Saen, Z. Moghaddas
Publication date: 5 September 2023
Published in: Annals of Operations Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10479-022-05020-8
efficiency measurementCOVID-19 pandemicnetwork data envelopment analysis (NDEA)healthcare supply chainssustainability and resilience
Management decision making, including multiple objectives (90B50) Transportation, logistics and supply chain management (90B06) Special problems of linear programming (transportation, multi-index, data envelopment analysis, etc.) (90C08)
Cites Work
- Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis
- Measuring the efficiency of decision making units
- Super-efficiency DEA in the presence of infeasibility: one model approach
- Super-efficiency infeasibility and zero data in DEA
- Productivity and intermediate products:
- DEA models for ratio data: convexity consideration
- Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions
- Negative data in DEA: recognizing congestion and specifying the least and the most congested decision making units
- OR applied to humanitarian operations
- Network DEA: efficiency analysis of organizations with complex internal structure
- Assessing sustainability performance of global supply chains: an input-output modeling approach
- A mixed-objective integer DEA model
- A semi-oriented radial measure for measuring the efficiency of decision making units with negative data, using DEA
- Data envelopment analysis of integer-valued inputs and outputs
- A sustainable-resilience healthcare network for handling COVID-19 pandemic
- Developing a new chance constrained NDEA model to measure performance of sustainable supply chains
- Negative data in DEA: a directional distance approach applied to bank branches
- Chance Constrained Efficiency Evaluation
- Modified super-efficiency DEA models for solving infeasibility under non-negative data set
- A novel network DEA-R model for evaluating hospital services supply chain performance
This page was built for publication: Using network data envelopment analysis to assess the sustainability and resilience of healthcare supply chains in response to the COVID-19 pandemic
