Using overbooking to manage no-shows in an Italian healthcare center

Table 6 Simulation analysis with one scanner and different levels of no-show

	Hourly Revenue (Eur)			Waiting time (Min)			Idle time (Min)			Overtime (Min)
No-show (%)	Diff. (%)	Average t-stats	Reject (%)	Diff.	Average t-stats	Reject (%)	Diff.	Average t-stats	Reject (%)	Diff.	Average t-stats	Reject (%)
5	2.9	5.76	100	1.2	2.26	56	−0.9	−4.12	100	0.2	0.18	6
10	7.8	11.13	100	2.6	4.85	100	−2.5	−9.19	100	0.2	1.17	7
15	12.6	14.35	100	3.6	6.44	100	−4.1	−12.30	100	0.5	0.44	7
30	26.2	18.87	100	4.9	8.10	100	−9.3	−16.27	100	0.8	0.75	8
45	40.0	20.91	100	4.6	7.33	100	−16.6	−16.97	100	0.9	1.06	18

Reject indicates the percentage of rejections of the t-test at 5%. Difference is computed as with minus without overbooking

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