Summary of reviewed studies
| Researcher(s) and year | Main topic | Approach/Methodology | Key finding/Contribution |
|---|---|---|---|
| Niakan et al. (2024) | Forecasting and Distribution Optimization | Time-series Model and Multi-objective Optimization (GA, PSO) | Integrating forecasting and optimization to enhance resilience and health equity |
| Rekabi et al. (2024) | Design of a Responsive, Sustainable, and Resilient Network | Multi-objective MINLP Model and Linear Regression (LR) | Considering congestion, sustainability, and resilience in network design and solved using LR |
| Sibevei and Roozkhosh (2024) | Prioritization of Resilience Barriers | Multi-Criteria Decision Making (BWM, Delphi, PROMETHEE) | Identifying financial resource shortages and managerial shortcomings as main barriers |
| Lusiantoro and Yates (2024) | Role of Human Behavior in Resilience | Qualitative Case Study | Introducing “skepticism” as a type of non-physical redundancy to enhance robustness |
| Shokouhifar and Ranjbarimesan (2023) | Forecasting under Crisis Conditions (COVID-19) | Multivariate Deep Learning (LSTM) | Significant reduction in shortages and wastage using external data (disease) |
| Matin et al. (2022) | Measuring Sustainability and Resilience | Network Data Envelopment Analysis (NDEA) | Presenting a performance evaluation model capable of handling complex and undesirable data |
| Larimi et al. (2023) | Network Reorganization under Disruption | GIS and Robust-Stochastic Optimization | Integrating spatial analysis and optimization for optimal location of backup facilities |
| Sibevei et al. (2022) | Systemic Risk Identification and Assessment | Integrated Framework (SSM, SNA, ISM) | Identifying root risks (e.g. sanctions) and dependent risks (e.g. delayed delivery) |
| Cagliano et al. (2021) | Risk Management and Cause-and-Effect Analysis | Fault Tree Analysis (FTA) and KPI | Root cause analysis and proactive analysis of risk propagation throughout the chain |
| Cagliano et al. (2015) | Proactive Analysis of Logistics Risks | FMECA and KPI | Presenting a structured approach for analyzing logistics risks and measuring response effectiveness |
| Ejohwomu et al. (2021) | Platelet Inventory Management | Hybrid Simulation (Agent-Based, Discrete-Event) | 78% reduction in platelet wastage by determining optimal inventory levels |
| Dewantari et al. (2020) | Designing a Risk Mitigation and Monitoring System | SCOR and House of Risk (HOR) | Integrating standard tools for systematic risk identification, mitigation, and monitoring |
| Haeri et al. (2020) | Design of a Resilient-Efficient Network | Multi-objective Optimization and DEA | Simultaneously integrating cost, resilience, and efficiency criteria in network design |
| Hamdan and Diabat (2020) | Robust Network Design under Crisis | Two-stage Robust Optimization and LR | Minimizing cost and delivery time under facility and route disruption |
| Lusiantoro and Tjahjono (2017) | Identifying Factors Affecting Safety and Availability | Qualitative Case Study | Identifying 5 key factors (policies, costs, donor management, inventory, facilities) |
| Boonyanusith and Jittamai (2018) | Risk Management using HOR | House of Risk (HOR) | Identifying lack of collaboration and information as major risks |
| Diabat et al. (2019) | Network Design for Perishable Products in Crisis | Bi-objective Robust Optimization and LR | Emphasizing the crucial role of mobile bases in reducing delivery time during disruption |
| Fortsch and Perera (2018) | Resilient Donor Call Policy | Beta policy (β-policy) based on dual sourcing | Increasing supply flexibility and enabling longer lead-time planning |
| Achmadi and Mansur (2017) | Designing Risk Mitigation Actions using HOR | House of Risk (HOR) | Prioritizing risks such as uncertain demand and natural disasters |
| Hosseinifard and Abbasi (2018) | Impact of Inventory Centralization on Sustainability | Two-stage chain modeling | Reducing 21% wastage and 40% shortages through hospital inventory centralization |
| Researcher(s) and year | Main topic | Approach/Methodology | Key finding/Contribution |
|---|---|---|---|
| Forecasting and Distribution Optimization | Time-series Model and Multi-objective Optimization (GA, PSO) | Integrating forecasting and optimization to enhance resilience and health equity | |
| Design of a Responsive, Sustainable, and Resilient Network | Multi-objective MINLP Model and Linear Regression (LR) | Considering congestion, sustainability, and resilience in network design and solved using LR | |
| Prioritization of Resilience Barriers | Multi-Criteria Decision Making (BWM, Delphi, PROMETHEE) | Identifying financial resource shortages and managerial shortcomings as main barriers | |
| Role of Human Behavior in Resilience | Qualitative Case Study | Introducing “skepticism” as a type of non-physical redundancy to enhance robustness | |
| Forecasting under Crisis Conditions (COVID-19) | Multivariate Deep Learning (LSTM) | Significant reduction in shortages and wastage using external data (disease) | |
| Measuring Sustainability and Resilience | Network Data Envelopment Analysis (NDEA) | Presenting a performance evaluation model capable of handling complex and undesirable data | |
| Network Reorganization under Disruption | GIS and Robust-Stochastic Optimization | Integrating spatial analysis and optimization for optimal location of backup facilities | |
| Systemic Risk Identification and Assessment | Integrated Framework (SSM, SNA, ISM) | Identifying root risks (e.g. sanctions) and dependent risks (e.g. delayed delivery) | |
| Risk Management and Cause-and-Effect Analysis | Fault Tree Analysis (FTA) and KPI | Root cause analysis and proactive analysis of risk propagation throughout the chain | |
| Proactive Analysis of Logistics Risks | FMECA and KPI | Presenting a structured approach for analyzing logistics risks and measuring response effectiveness | |
| Platelet Inventory Management | Hybrid Simulation (Agent-Based, Discrete-Event) | 78% reduction in platelet wastage by determining optimal inventory levels | |
| Designing a Risk Mitigation and Monitoring System | SCOR and House of Risk (HOR) | Integrating standard tools for systematic risk identification, mitigation, and monitoring | |
| Design of a Resilient-Efficient Network | Multi-objective Optimization and DEA | Simultaneously integrating cost, resilience, and efficiency criteria in network design | |
| Robust Network Design under Crisis | Two-stage Robust Optimization and LR | Minimizing cost and delivery time under facility and route disruption | |
| Identifying Factors Affecting Safety and Availability | Qualitative Case Study | Identifying 5 key factors (policies, costs, donor management, inventory, facilities) | |
| Risk Management using HOR | House of Risk (HOR) | Identifying lack of collaboration and information as major risks | |
| Network Design for Perishable Products in Crisis | Bi-objective Robust Optimization and LR | Emphasizing the crucial role of mobile bases in reducing delivery time during disruption | |
| Resilient Donor Call Policy | Beta policy (β-policy) based on dual sourcing | Increasing supply flexibility and enabling longer lead-time planning | |
| Designing Risk Mitigation Actions using HOR | House of Risk (HOR) | Prioritizing risks such as uncertain demand and natural disasters | |
| Impact of Inventory Centralization on Sustainability | Two-stage chain modeling | Reducing 21% wastage and 40% shortages through hospital inventory centralization |
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