Name
Title | ||
|---|---|---|
Managing Clinic Variability With Same-Day Scheduling, Intervention For No-Shows, And Seasonal Capacity Adjustments |
Abstract | ||
|---|---|---|
This study investigates demand and capacity strategies for managing clinic variability. These include (i) same-day scheduling to control random walk-ins, (ii) no-show intervention, where the clinic calls advance-booked patients a day before to identify and release cancelled slots to same-day patients, and (iii) adjustments to daily number of appointments for advance-booked patients to match seasonal variations in same-day demand. These strategies are tested over the individual-block/fixed-interval (IBFI) and the Dome appointment rules. Our results show that choosing the appropriate refinements in the order of appointment rules, same-day scheduling, no-show intervention, and capacity adjustment provides maximum improvement. The total cost benefit of demand strategies (i) and (ii) is 7 to 21%, whereas the benefit of capacity strategy (iii) is as high as 6%. Our study affirms the universality of the Dome rule to perform well when combined with the demand and capacity strategies across different environments. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1080/01605682.2018.1557023 | JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY |
Keywords | Field | DocType |
Appointment scheduling, open access, same-day demand and walk-ins, simulation | Scheduling (computing),Computer science,Total cost,Operations management | Journal |
Volume | Issue | ISSN |
71 | 1 | 0160-5682 |
Citations | PageRank | References |
0 | 0.34 | 15 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kum-Khiong Yang | 1 | 1 | 1.71 |
| Tugba Cayirli | 2 | 7 | 1.15 |