Table 6 Results for scheduling
From: Operations research for resource planning and -use in radiotherapy: a literature review
Reference | Subject of research | Hierarchical level | OR method(s) | Extent of implementation | (Potential) Impact on performance |
|---|---|---|---|---|---|
D. Petrovic et al. [33] | Pre-treatment scheduling | Operational offline | MH | III | Reduction of average waiting times and tardiness by 35% and 20%, respectively |
Kapamara and D. Petrovic [54] | Radiotherapy scheduling | Operational offline | CH + MH | II | Average waiting times of 1.6, 19.1 and 19.4 days for emergency, palliative and radical patients, respectively |
S. Petrovic and Castro [55] | Pre-treatment scheduling | Operational offline | MH | II | Not mentioned |
Castro and Petrovic [56] | Pre-treatment scheduling | Operational offline | MP + CH | II | 11% of all patients exceed the waiting time targets, in average |
D. Petrovic et al. [57] | Pre-treatment scheduling | Operational offline | MH | II | Reduction of average waiting times for radical (35 to 21.48Â days) and palliative (15 to 13.10) patients |
D. Petrovic et al. [32] | Radiotherapy scheduling | Operational offline | CH + MH + CS | III | Average waiting times of palliative and radical patients reduced by 34% and 41%, respectively |
S. Petrovic et al. [58] | Treatment scheduling | Operational offline | CH | II | Decrease in the percentage of late patients of up to 40% for palliative patients and 4% for radical patients |
Treatment scheduling | Operational offline | CE + MH | I | Average weighted tardiness of 0.935 days | |
Treatment scheduling | Operational online | MP | III | Increase of 47% in the number of booked treatment sessions | |
Conforti [63] | Treatment scheduling | Operational offline | MP | I | LINACs’ utilization rates of 95%, in average |
Jacquemin al. [64] | Treatment scheduling | Operational offline | MP | I | Admission rate of 25.4 patients per week in a fictitious center with 2 LINACs |
Burke et al. [65] | Treatment scheduling | Operational offline | MP | V | 27% of patients breaching the norms |
Jacquemin et al. [66] | Treatment scheduling | Operational offline | MP | I | 4% increase on the percentage of patients treated |
Sauré et al. [34] | Treatment scheduling | Operational offline | MDP + MP | III | Increase the average percentage of new patients treated within 10 days, from 73% to 96% |
Cares et al. [67] | Treatment scheduling | Operational offline | MH | I | Not mentioned |
Legrain et al. [35] | Treatment scheduling | Operational offline | MP | IV | Decrease on the average number of patients breaching the standards by 50% for acute patients and 82% for subacute patients |