Pages that link to "Item:Q6179169"
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The following pages link to Using network data envelopment analysis to assess the sustainability and resilience of healthcare supply chains in response to the COVID-19 pandemic (Q6179169):
Displaying 17 items.
- A multiperiod supply chain network optimization model with investments in labor productivity enhancements in an era of COVID-19 and climate change (Q2068852) (← links)
- Performance prediction and optimization for healthcare enterprises in the context of the COVID-19 pandemic: an intelligent DEA-SVM model (Q2091125) (← links)
- An integrated socially responsible-efficient approach toward health service network design (Q2108790) (← links)
- An integrated data mining framework for organizational resilience assessment and quality management optimization in trauma centers (Q2120137) (← links)
- A review of applications of operational research in healthcare coordination in disaster management (Q2140135) (← links)
- A sustainable-resilience healthcare network for handling COVID-19 pandemic (Q2673806) (← links)
- Health care supply networks in tightly and loosely coupled structures: exploration using agent-based modelling (Q5494699) (← links)
- Using emerging technologies to improve the sustainability and resilience of supply chains in a fuzzy environment in the context of COVID-19 (Q6099444) (← links)
- A novel network DEA-R model for evaluating hospital services supply chain performance (Q6115637) (← links)
- Viable healthcare supply chain network design for a pandemic (Q6179167) (← links)
- A two-stage decision-support approach for improving sustainable last-mile cold chain logistics operations of COVID-19 vaccines (Q6179168) (← links)
- Prioritization of healthcare systems during pandemics using Cronbach's measure based fuzzy WASPAS approach (Q6179176) (← links)
- Supplier selection in healthcare supply chain management during the COVID-19 pandemic: a novel fuzzy rough decision-making approach (Q6179210) (← links)
- National IoMT platform strategy portfolio decision model under the COVID-19 environment: based on the financial and non-financial value view (Q6179214) (← links)
- Supplier selection under disruption risk with hybrid procurement (Q6561244) (← links)
- A comparison of chance-constrained data envelopment analysis, stochastic nonparametric envelopment of data and bootstrap method: a case study of cultural regeneration performance of cities (Q6565464) (← links)
- Measuring the efficiency of administrative divisions in combating the COVID-19 pandemic in Taiwan: an empirical study (Q6659127) (← links)