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

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

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