Comparison of OR methods based on requirements for humanitarian logistics research (cf. Section 2.1)
| Problem exploration | Type of problem | Ease to reproduce | Contextualization | Data collection | Validation with practice | |
|---|---|---|---|---|---|---|
| Operational exercise | Highly realistic | Based on current practice | Low | High | Risky | Very high |
| Simulation games | Realistic | Flexible integration of behaviour and (new) or standard situations, approaches and technologies | High, if rigorous methodology is implemented (see below) | High | Quasi-experimental | High |
| Simulation | Abstract | Simulation of new (new) or standard situations, approaches and technologies; assumptions on behaviour | High | Low | Inductive, numeric | Low |
| Analytical model | Highly simplified | Data-driven; based on past frequent cases in data-rich environments or standard problems | Very high | Very low | Numeric | Low |
| Problem exploration | Type of problem | Ease to reproduce | Contextualization | Data collection | Validation with practice | |
|---|---|---|---|---|---|---|
| Operational exercise | Highly realistic | Based on current practice | Low | High | Risky | Very high |
| Simulation games | Realistic | Flexible integration of behaviour and (new) or standard situations, approaches and technologies | High, if rigorous methodology is implemented (see below) | High | Quasi-experimental | High |
| Simulation | Abstract | Simulation of new (new) or standard situations, approaches and technologies; assumptions on behaviour | High | Low | Inductive, numeric | Low |
| Analytical model | Highly simplified | Data-driven; based on past frequent cases in data-rich environments or standard problems | Very high | Very low | Numeric | Low |
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