A Two-Stage Method of Dimensioning and Scheduling Service Providers under Patient Demand Uncertainty

Table 8

Statistics for each algorithm ( and ).

	SAA		I-SAA
			K-means		K-means++		EM-GMM		PAM
M
1	2075.25	80444.81	11133.32	568383.3	7851.01	418813.5	11926.14	1344766	14691.07	1040081
2	1961.39	80396.81	10551.23	568258.7	8294.86	418848.3	11051.47	1344891	14744.03	1040044
3	2176.38	80457.34	12884.33	568204.2	6647.68	419070.2	11613.63	1344910	15398.69	1040167
4	1982.29	80502.21	12282.48	568329.2	6510.06	418948.4	14072.82	1344764	12930.52	1040268
5	1903.73	80389.55	11255.07	568203.6	8268.36	418854.7	10050.89	1345136	15007.42	1040214
6	2088.2	80406.9	11495.52	568620.8	6570.52	418978.3	11123.61	1345117	13632.48	1040255
7	2025.16	80484.91	10706.76	568439	4904.69	445945.4	10271.39	1344925	13020.84	1040212
8	1989.42	80422.1	12321.22	568252.2	6783.62	418997	11594.9	1344905	13331.85	1040315
9	2135.13	80453.57	11168.33	568115.2	6474.6	419029.8	11593.65	1344986	14044.61	1040176
10	1887.81	80461.3	10271.09	568299.9	7872.85	419019.8	11875.14	1344871	13728.78	1040055