Table 4 Comparison of service capacity shortage and excess for different estimation methods.
From: Data-driven robust outpatient physician scheduling with medical visiting information
Estimation | Shifts | Service capacity shortage | Service capacity excess | ||||
|---|---|---|---|---|---|---|---|
Method | Count | Mean | Max | Prob (%) | Mean | Max | Prob (%) |
Service capacity \(c_i = 60\) | |||||||
 Sample average | 384 | 8.9 | 113.6 | 38.7 | 16.7 | 152.5 | 61.3 |
 LR | 488 | 5.0 | 113.6 | 23.5 | 26.0 | 157.5 | 76.5 |
 LRCVaR | 788 | 1.2 | 61.1 | 4.2 | 60.0 | 328.4 | 95.8 |
 RCVaR | – | – | – | – | – | – | – |
Service capacity \(c_i = 70\) | |||||||
 Sample average | 332 | 8.8 | 104.8 | 41.2 | 17.1 | 133.4 | 58.8 |
 LR | 440 | 4.3 | 104.0 | 19.3 | 29.0 | 183.8 | 80.7 |
 LRCVaR | 660 | 0.6 | 42.8 | 3.4 | 57.2 | 333.4 | 96.6 |
 RCVaR | 704 | 0.8 | 42.0 | 3.2 | 63.8 | 342.3 | 96.8 |
Service capacity \(c_i = 80\) | |||||||
 Sample average | 304 | 8.0 | 96.1 | 34.5 | 18.5 | 138.5 | 65.5 |
 LR | 392 | 4.1 | 95.2 | 21.0 | 29.5 | 158.1 | 79.0 |
 LRCVaR | 584 | 0.9 | 31.1 | 5.0 | 58.5 | 303.1 | 95.0 |
 RCVaR | 628 | 0.4 | 24.3 | 2.5 | 65.4 | 360.6 | 97.5 |
