Table 7 The sensitivity analysis of LRCVaR models with various numbers of clusters.
From: Data-driven robust outpatient physician scheduling with medical visiting information
Clusters | Shifts | Service capacity shortage | Service capacity excess | ||||
|---|---|---|---|---|---|---|---|
Count | Mean | Max | Prob (%) | Mean | Max | Prob (%) | |
Service capacity \(c_i = 100\) | |||||||
4 | 344 | 3.5 | 119.0 | 7.1 | 141.8 | 468.0 | 92.8 |
6 | 360 | 3.3 | 134.5 | 8.9 | 104.9 | 344.4 | 91.1 |
8 | 344 | 3.8 | 212.6 | 7.6 | 72.9 | 344.4 | 92.4 |
10 | 364 | 3.1 | 203.5 | 7.1 | 65.5 | 389.5 | 92.9 |
12 | 896 | 0.7 | 68.8 | 1.5 | 211.0 | 1201.4 | 98.5 |
14 | 896 | 0.6 | 68.6 | 1.5 | 180.9 | 1184.7 | 98.5 |
16 | 944 | 0.5 | 67.3 | 1.1 | 168.9 | 1168.9 | 98.9 |
18 | 940 | 0.4 | 66.7 | 1.0 | 149.4 | 812.0 | 99.0 |
20 | 940 | 0.4 | 68.1 | 0.9 | 134.4 | 662.8 | 99.1 |
Service capacity \(c_i = 90\) | |||||||
4 | 380 | 4.4 | 149 | 8.9 | 140.9 | 418 | 91.1 |
6 | 396 | 2.4 | 101.9 | 7.7 | 101.9 | 360 | 92.3 |
8 | 376 | 3.4 | 150.5 | 9.8 | 70.1 | 360.9 | 90.2 |
10 | 392 | 3.1 | 183.3 | 7.9 | 61.5 | 355.3 | 92 |
12 | 1204 | 0 | 0 | 0 | 266.2 | 1494.2 | 1 |
14 | 1204 | 0 | 0 | 0 | 228.2 | 1475.6 | 1 |
16 | 1232 | 0 | 0 | 0 | 205.3 | 1458.3 | 1 |
18 | 1232 | 0 | 0 | 0 | 182.5 | 918.5 | 1 |
20 | 1232 | 0 | 0 | 0 | 164.2 | 655.6 | 1 |
