Overview of simulation models in patient flow logistics
| Reference | Focus | Criteria | Method | No. Scenarios | Problem |
|---|---|---|---|---|---|
| Carr et al. (2016) | Effectiveness + efficiency | Mortality rate, no. trauma centers | Mass balance model | 100 (4 disaster impacts, 25 cities) | Allocation |
| Mills et al. (2018) | Efficiency | Expected discounted throughput (+ reward function) | Markov decision process | 300 | Routing |
| Mas et al. (2022) | Efficiency | Throughput (no. patients transported) | Agent-based model | 3 disaster scenarios | Allocation |
| Su and Jin (2008) | Efficiency | Total transportation time | Discrete event + system dynamics | 6 (2 disaster types, 3 inter-arrival times) | Facility location |
| Christie and Levary (1998) | Efficiency | Total transportation time | Discrete event | 15 (3 disaster scenarios, 5 inter-arrival times) | Resource allocation |
| Çağlayan and Satoglu (2022) | Effectiveness + efficiency | Casualties (min), total time to hospital (min) | Discrete event | 16 scenarios | Allocation (victims to hospitals + ambulances) |
| Shin and Lee (2020) | Effectiveness | Expected number of survivors (max) | Markov decision process | 2×2 = 4 scenarios + historical case | Resource allocation |
| Hager et al. (2024) | Efficiency | Waiting time (min), makespan (min); number of casualties (min) | Discrete event | 12 scenarios | Allocation (victims - hospitals) |
| Fidanova et al. (2024) | Effectiveness + efficiency | Unserved patients | Not defined | 3 hazard scenarios | Allocation |
| Reference | Focus | Criteria | Method | No. Scenarios | Problem |
|---|---|---|---|---|---|
| Effectiveness + efficiency | Mortality rate, no. trauma centers | Mass balance model | 100 (4 disaster impacts, 25 cities) | Allocation | |
| Efficiency | Expected discounted throughput (+ reward function) | Markov decision process | 300 | Routing | |
| Efficiency | Throughput (no. patients transported) | Agent-based model | 3 disaster scenarios | Allocation | |
| Efficiency | Total transportation time | Discrete event + system dynamics | 6 (2 disaster types, 3 inter-arrival times) | Facility location | |
| Efficiency | Total transportation time | Discrete event | 15 (3 disaster scenarios, 5 inter-arrival times) | Resource allocation | |
| Effectiveness + efficiency | Casualties (min), total time to hospital (min) | Discrete event | 16 scenarios | Allocation (victims to hospitals + ambulances) | |
| Effectiveness | Expected number of survivors (max) | Markov decision process | 2×2 = 4 scenarios + historical case | Resource allocation | |
| Efficiency | Waiting time (min), makespan (min); number of casualties (min) | Discrete event | 12 scenarios | Allocation (victims - hospitals) | |
| Effectiveness + efficiency | Unserved patients | Not defined | 3 hazard scenarios | Allocation |
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