Table 2.
Catalog of papers
| Focused issue | Reference | Paradigm | Scale | Software | Representative main finding |
|---|---|---|---|---|---|
| Care pathway and appointment | [19–21, 25, 26, 28, 29, 43, 47, 50–87, 88–127] | DES (63); ABS (3); SD (3); mixed (4), Misc. (16) | Single department (65), Cross-departments (17), cross-institutional (7) | Arena (30); Simul8(5); FlexSim (5); AnyLogic (3); NetLogo (2); Witness (2); ProModel (1); C++(1); ProcessModel (1); Microsoft Excel (1); iThink (1); AutoMod (1); SLX (2); EDSim (1); Matlab (1); DGHPSim (1); ARIS (1); MedModel (3); OMNeT++ (1); Misc. (27) | These studies focus on modeling patient pathways from admission to discharge as acting the basis of direct intervention on patient flows. |
| Staffing decision making | [24, 35, 37, 42, 46, 49, 55, 128–202, 248] | DES (50); SD (3); ABS (3); gaming (1); mixed (26), Misc.(5) | Single department (56), cross-departments (22), cross-institutional (10) | Arena (22); FlexSim (7); AnyLogic (5); Simul8(3); MedModel (3); FDI (3); Matlab (2); ProModel (2); Tecnomatix Plant Simulation (2); ARCINFO (1); AutoMod (1); C++ (1); Petri Nets (1); Extend (1); Microsoft Excel (1); Netlogo (1); OMNeT++(1); Venism (1); SLX (1); SIMPROCESS (1); STELLA (1); ABFS (1); Java IDE (1); Misc. (27); | These studies use simulation for decision support of care capacities. |
| Work procedures | [203–214] | DES (8); Misc. (4) | Single department (7), cross-departments (5) | Arena (3); Simul8(2); ProModel (1); MedModel (1); OMNeT++ (1); ExtendSim (1); Misc. (3) | Simulation is used to identify impact factors in service procedures. |
| Specialized Transport | [215–222] | DES (2); ABS (1); Misc. (5) | Cross-institutional (8) | Arena (2); ArcGIS (1); Google Cloud (1); Microsoft Excel (1); Misc. (3) | These studies address handling of patients in the regional healthcare network. |
| Facility design | [223–230] | DES (4); ABS (2); mixed (1); Misc. (1) | Single department (2), cross-departments (1) | Unity (1); ProModel (1); NetLogo (1); Extend (1); Misc. (4) | These studies use simulations to analyze hospital infrastructure and its impact on the operation. |
| Healthcare systems | [231–235] | DES (1); ABS (2); Misc. (2) | Cross-institutional (5) | Arena (2); Python (1); AnyLogic (1); NetLogo (1) | These studies use simulations to support the modeling and analysis of improvements in the system perspective. |
| Supply chain | [236–243] | DES (5), gaming (1); Misc. (2) | Cross-departments (5), cross-institutional (3) | ExtendSim (1); GAMS (1); Matlab (1); Bonita Open Solution (1), Board game (1); Misc. (3) | The simulation model is generally used for recreating different actors in the supply chain network. |
| Inventory management | [244–258] | DES (8); mixed (2); Misc. (5) | Single department (3), cross-departments (1), cross-institutional (11) | Simul8 (2); Arena (2); C++(1); CSIM18 (1); Java (1); JSL (1); SCA (1); Misc. (6) | These studies explore different inventory or replacement polities for material handling. |
| Network distribution and dispatching | [32, 259–264] | DES (4); gaming (2); ABS (1); Misc. (3) | Cross-departments (2), cross-institutional (8) | Microsoft Excel (2); Arena (1); MedModel (1); ProModel (1); JADE (1); VBA (1); Misc. (3) | These studies use simulations for operational transport. |
| Network configuration | [265–267] | DES (1); Misc. (2) | Cross-institutional (3) | Arena (1); Misc. (2) | These studies focus on the design of the network. |
| Procurement logistics | [27, 268, 269] | SD (1); Misc. (2) | Cross-department (1), cross-institutional (2) | Qnet2000 (1); iThink (1); Misc. (1) | Simulation is used for understanding the interactive rule between service vendor and recipient. |
| Misc. | [31, 36, 38, 270–281] | DES (4); SD (3); ABS (1); gaming (1); mixed (3); Misc. (4) | Single department (5), cross-departments (4), cross-institutional (7) | Arena (4); AnyLogic (2); iThink (2); Simul8 (1); NetLogo (1); Microsoft Excel (1); Powersim (1); Misc. (4) | |
| Methodology | [12–15, 39, 282–286, 287–305] | Reviews, surveys, and methodological reflections and comparisons of logistics simulations in other sectors. | |||