Analysis table of articles based on different indicators
| No | Article title | Main approach | Type of uncertainty/Context | Focus area | Main objective | Key method/Tool | Study context (case study) |
|---|---|---|---|---|---|---|---|
| 1 | A possibilistic programming approach … | Quantitative, Optimization | Possibilistic (Fuzzy), Periodic | Platelet Inventory Management, Clustering | Optimizing the Platelet Supply Chain considering Uncertainty | Possibilistic Programming, Clustering Strategy | – |
| 2 | A quantitative analysis of the factors … | Data Analysis | Clinical Factors Affecting Demand | Demand Forecasting | Quantitative analysis of clinical factors affecting blood demand | Quantitative Analysis, Probably Regression | Suzhou, China |
| 3 | A data-driven approach to optimize … | Quantitative, Optimization | Stochastic, Industry 5.0 | Data-Driven Supply Chain Design | Optimizing the Supply Chain within the Industry 5.0 Framework | Stochastic Optimization, Data-Driven Approach | – |
| 4 | Hybrid neural network-based metaheuristics … | Quantitative, Optimization | Pre-disaster | Resilient Supply Chain Design | Designing a resilient supply chain prior to a disaster | Neural Network-based Metaheuristics | Case-specific (Probably Iran) |
| 5 | Resilient coordination of test sampling … | Quantitative, Optimization | Distributionally Robust | Coordination of Testing and Requirement Fulfillment | Resilient coordination of the laboratory supply chain under worst-case scenario | Soft Worst-Case Distributionally Robust Optimization | – |
| 6 | Blood under pressure … | Qualitative, Review | Climate Change | Environmental Risks | Reviewing climate change threats on blood safety and supply chains | Qualitative Analysis, Review | – |
| 7 | Optimization Strategy of Supply Chain … | Quantitative, Optimization | – | Network Design, Timeliness, Blood Compatibility | Network optimization considering time and blood compatibility | Mathematical Programming | – |
| 8 | A column generation-based approach … | Quantitative, Optimization | Adaptive-Stochastic | Donor Management, Customization | Solving the customized blood donation problem under uncertainty | Column Generation | – |
| 9 | Blood supply chain configuration … | Quantitative, Optimization | COVID-19 Pandemic | Supply Chain Configuration and Optimization | Optimizing the supply chain during the COVID-19 pandemic | Benders Decomposition-based Heuristic Algorithm | – |
| 10 | Insights and lessons from recent conflicts … | Qualitative, Narrative Review | Military Conflicts | Military Medicine, Lessons Learned | Reviewing lessons learned from conflicts for military medicine | Narrative Review | Recent Conflicts |
| 11 | LOGISTICS NETWORK DESIGN FOR … | Quantitative, Simulation | Disasters | Sustainable Logistics Network Design | Designing a sustainable logistics network for the blood supply chain under disasters | Simulation | – |
| 12 | An Integrated Supply Chain Model … | Quantitative, Integrated | – | Demand and Supply Forecasting, Distribution | Integrated forecasting of supply and demand and optimization of blood distribution | Integrated Model, Forecasting, Optimization | – |
| 13 | Designing a responsive-sustainable-resilient … | Quantitative, Optimization | Congestion | Responsive-Sustainable-Resilient Network Design | Designing a triple-objective network (Responsive, Sustainable, Resilient) | Linear Regression for Congestion Modeling | – |
| 14 | Prioritizing Barriers to Resilience … | Qualitative-Quantitative, MCDM | – | Prioritization of Resilience Barriers | Prioritizing resilience barriers in the blood supply chain | Multi-Criteria Decision Making (MCDM) | – |
| 15 | Bloodmobile location selection … | Qualitative-Quantitative, MCDM | – | Bloodmobile Location Selection | Selecting bloodmobile locations for a resilient supply chain | Spherical Fuzzy AHP + Spherical Fuzzy COPRAS | – |
| 16 | Reliable design of humanitarian supply chain … | Quantitative, Optimization | Correlated Disruptions | Humanitarian Supply Chain Design | Reliable design of the supply chain under correlated disruptions | Two-stage Distributionally Robust Optimization | – |
| 17 | Embracing scepticism as a non-physical … | Qualitative, Case Study | Trust Gap (Skepticism) | Organizational Resilience, Trust Management | Examining skepticism as a non-physical form of redundancy | Qualitative Case Study | UK Blood Supply Chain |
| 18 | Multivariate time-series blood donation … | Quantitative, Forecasting | COVID-19 Pandemic | Multivariate Donation/Demand Forecasting | Multivariate time-series forecasting of donation and demand for resilient management | Multivariate Time-Series Forecasting | – |
| 19 | Measuring the sustainability and resilience … | Qualitative-Quantitative | – | Measuring Sustainability and Resilience | Providing metrics for measuring sustainability and resilience | Probably Assessment/Measurement Method | – |
| 20 | Integrating GIS in reorganizing blood supply … | Quantitative, Integrated | Disruptions, Robust-Stochastic Approach | Network Redesign with GIS | Redesigning the blood supply network with Geographic Information System | GIS, Robust-Stochastic Programming | – |
| 21 | Developing a Risk Reduction Support System … | Qualitative, Case Study | – | Health System Risk Management | Developing a Risk Reduction Support System for the Health System | Case Study | Iran (Blood Supply Chain) |
| 22 | An enhanced framework for blood supply chain … | Qualitative, Framework | – | Risk Management | Providing an enhanced framework for risk management | Qualitative Framework | – |
| 23 | A structured approach to analyse logistics risks … | Qualitative, Risk Analysis | – | Logistics Risks in Blood Transfusion | Structured analysis of logistics risks in the blood transfusion process | Structured Risk Analysis | – |
| 24 | A resilient approach to modelling the supply … | Quantitative, Modeling | – | Platelet Supply and Demand Modeling | Resilient modeling of platelet supply and demand | Mathematical Modeling | United Kingdom |
| 25 | Design Mitigation and Monitoring System … | Qualitative, Framework | – | Operational Risk Management | Designing a risk mitigation and monitoring system using SCOR and HOR | SCOR Model and House of Risk (HOR) | – |
| 26 | A mixed resilient-efficient approach … | Quantitative, Optimization | – | Supply Chain Network Design | Network design simultaneously considering resilience and efficiency | Multi-objective Mathematical Programming | – |
| 27 | Robust design of blood supply chains … | Quantitative, Optimization | Risk of Disruptions | Robust Supply Chain Design | Robust design of the supply chain under risk of disruptions | Lagrangian Relaxation | – |
| 28 | Managing Blood Safety and Availability … | Qualitative, Case Study | – | Supply Chain Dynamics | Preliminary investigation of blood supply chain dynamics | Case Study, Systems Analysis | Indonesia |
| 29 | Blood supply chain risk management using … | Qualitative, Framework | – | Risk Management | Blood supply chain risk management using the House of Risk model | House of Risk (HOR) Model | – |
| 30 | A perishable product supply chain network … | Quantitative, Optimization | Disruptions, Reliability | Network Design for Perishable Products | Network design considering reliability and disruptions | Mathematical Programming | – |
| 31 | A resilient donor arrival policy for blood | Quantitative, Modeling | – | Donor Policies | Developing a resilient policy for donor arrival scheduling | Policy Modeling | – |
| 32 | Design mitigation of blood supply chain … | Qualitative, Framework | – | Supply Chain Risk Management | Designing risk mitigation strategies using the SCRM approach | Supply Chain Risk Management (SCRM) Approach | – |
| 33 | The inventory centralization impacts … | Quantitative, Modeling | – | Inventory Centralization/Decentralization, Sustainability | Analyzing the impact of inventory centralization on blood supply chain sustainability | Modeling | – |
| 34 | Malaria and blood transfusion … | Qualitative, Review | Malaria Endemic Areas | Blood Safety, Risk Mitigation | Examining blood safety issues and malaria risk mitigation strategies | Qualitative Review | Malaria Endemic Countries |
| No | Article title | Main approach | Type of uncertainty/Context | Focus area | Main objective | Key method/Tool | Study context (case study) |
|---|---|---|---|---|---|---|---|
| 1 | A possibilistic programming approach … | Quantitative, Optimization | Possibilistic (Fuzzy), Periodic | Platelet Inventory Management, Clustering | Optimizing the Platelet Supply Chain considering Uncertainty | Possibilistic Programming, Clustering Strategy | – |
| 2 | A quantitative analysis of the factors … | Data Analysis | Clinical Factors Affecting Demand | Demand Forecasting | Quantitative analysis of clinical factors affecting blood demand | Quantitative Analysis, Probably Regression | Suzhou, China |
| 3 | A data-driven approach to optimize … | Quantitative, Optimization | Stochastic, Industry 5.0 | Data-Driven Supply Chain Design | Optimizing the Supply Chain within the Industry 5.0 Framework | Stochastic Optimization, Data-Driven Approach | – |
| 4 | Hybrid neural network-based metaheuristics … | Quantitative, Optimization | Pre-disaster | Resilient Supply Chain Design | Designing a resilient supply chain prior to a disaster | Neural Network-based Metaheuristics | Case-specific (Probably Iran) |
| 5 | Resilient coordination of test sampling … | Quantitative, Optimization | Distributionally Robust | Coordination of Testing and Requirement Fulfillment | Resilient coordination of the laboratory supply chain under worst-case scenario | Soft Worst-Case Distributionally Robust Optimization | – |
| 6 | Blood under pressure … | Qualitative, Review | Climate Change | Environmental Risks | Reviewing climate change threats on blood safety and supply chains | Qualitative Analysis, Review | – |
| 7 | Optimization Strategy of Supply Chain … | Quantitative, Optimization | – | Network Design, Timeliness, Blood Compatibility | Network optimization considering time and blood compatibility | Mathematical Programming | – |
| 8 | A column generation-based approach … | Quantitative, Optimization | Adaptive-Stochastic | Donor Management, Customization | Solving the customized blood donation problem under uncertainty | Column Generation | – |
| 9 | Blood supply chain configuration … | Quantitative, Optimization | COVID-19 Pandemic | Supply Chain Configuration and Optimization | Optimizing the supply chain during the COVID-19 pandemic | Benders Decomposition-based Heuristic Algorithm | – |
| 10 | Insights and lessons from recent conflicts … | Qualitative, Narrative Review | Military Conflicts | Military Medicine, Lessons Learned | Reviewing lessons learned from conflicts for military medicine | Narrative Review | Recent Conflicts |
| 11 | LOGISTICS NETWORK DESIGN FOR … | Quantitative, Simulation | Disasters | Sustainable Logistics Network Design | Designing a sustainable logistics network for the blood supply chain under disasters | Simulation | – |
| 12 | An Integrated Supply Chain Model … | Quantitative, Integrated | – | Demand and Supply Forecasting, Distribution | Integrated forecasting of supply and demand and optimization of blood distribution | Integrated Model, Forecasting, Optimization | – |
| 13 | Designing a responsive-sustainable-resilient … | Quantitative, Optimization | Congestion | Responsive-Sustainable-Resilient Network Design | Designing a triple-objective network (Responsive, Sustainable, Resilient) | Linear Regression for Congestion Modeling | – |
| 14 | Prioritizing Barriers to Resilience … | Qualitative-Quantitative, MCDM | – | Prioritization of Resilience Barriers | Prioritizing resilience barriers in the blood supply chain | Multi-Criteria Decision Making (MCDM) | – |
| 15 | Bloodmobile location selection … | Qualitative-Quantitative, MCDM | – | Bloodmobile Location Selection | Selecting bloodmobile locations for a resilient supply chain | Spherical Fuzzy AHP + Spherical Fuzzy COPRAS | – |
| 16 | Reliable design of humanitarian supply chain … | Quantitative, Optimization | Correlated Disruptions | Humanitarian Supply Chain Design | Reliable design of the supply chain under correlated disruptions | Two-stage Distributionally Robust Optimization | – |
| 17 | Embracing scepticism as a non-physical … | Qualitative, Case Study | Trust Gap (Skepticism) | Organizational Resilience, Trust Management | Examining skepticism as a non-physical form of redundancy | Qualitative Case Study | UK Blood Supply Chain |
| 18 | Multivariate time-series blood donation … | Quantitative, Forecasting | COVID-19 Pandemic | Multivariate Donation/Demand Forecasting | Multivariate time-series forecasting of donation and demand for resilient management | Multivariate Time-Series Forecasting | – |
| 19 | Measuring the sustainability and resilience … | Qualitative-Quantitative | – | Measuring Sustainability and Resilience | Providing metrics for measuring sustainability and resilience | Probably Assessment/Measurement Method | – |
| 20 | Integrating GIS in reorganizing blood supply … | Quantitative, Integrated | Disruptions, Robust-Stochastic Approach | Network Redesign with GIS | Redesigning the blood supply network with Geographic Information System | GIS, Robust-Stochastic Programming | – |
| 21 | Developing a Risk Reduction Support System … | Qualitative, Case Study | – | Health System Risk Management | Developing a Risk Reduction Support System for the Health System | Case Study | Iran (Blood Supply Chain) |
| 22 | An enhanced framework for blood supply chain … | Qualitative, Framework | – | Risk Management | Providing an enhanced framework for risk management | Qualitative Framework | – |
| 23 | A structured approach to analyse logistics risks … | Qualitative, Risk Analysis | – | Logistics Risks in Blood Transfusion | Structured analysis of logistics risks in the blood transfusion process | Structured Risk Analysis | – |
| 24 | A resilient approach to modelling the supply … | Quantitative, Modeling | – | Platelet Supply and Demand Modeling | Resilient modeling of platelet supply and demand | Mathematical Modeling | United Kingdom |
| 25 | Design Mitigation and Monitoring System … | Qualitative, Framework | – | Operational Risk Management | Designing a risk mitigation and monitoring system using SCOR and HOR | SCOR Model and House of Risk (HOR) | – |
| 26 | A mixed resilient-efficient approach … | Quantitative, Optimization | – | Supply Chain Network Design | Network design simultaneously considering resilience and efficiency | Multi-objective Mathematical Programming | – |
| 27 | Robust design of blood supply chains … | Quantitative, Optimization | Risk of Disruptions | Robust Supply Chain Design | Robust design of the supply chain under risk of disruptions | Lagrangian Relaxation | – |
| 28 | Managing Blood Safety and Availability … | Qualitative, Case Study | – | Supply Chain Dynamics | Preliminary investigation of blood supply chain dynamics | Case Study, Systems Analysis | Indonesia |
| 29 | Blood supply chain risk management using … | Qualitative, Framework | – | Risk Management | Blood supply chain risk management using the House of Risk model | House of Risk (HOR) Model | – |
| 30 | A perishable product supply chain network … | Quantitative, Optimization | Disruptions, Reliability | Network Design for Perishable Products | Network design considering reliability and disruptions | Mathematical Programming | – |
| 31 | A resilient donor arrival policy for blood | Quantitative, Modeling | – | Donor Policies | Developing a resilient policy for donor arrival scheduling | Policy Modeling | – |
| 32 | Design mitigation of blood supply chain … | Qualitative, Framework | – | Supply Chain Risk Management | Designing risk mitigation strategies using the SCRM approach | Supply Chain Risk Management (SCRM) Approach | – |
| 33 | The inventory centralization impacts … | Quantitative, Modeling | – | Inventory Centralization/Decentralization, Sustainability | Analyzing the impact of inventory centralization on blood supply chain sustainability | Modeling | – |
| 34 | Malaria and blood transfusion … | Qualitative, Review | Malaria Endemic Areas | Blood Safety, Risk Mitigation | Examining blood safety issues and malaria risk mitigation strategies | Qualitative Review | Malaria Endemic Countries |
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