Managing clinic variability with same-day scheduling, intervention for no-shows, and seasonal capacity adjustments
dc.contributor.author | Yang, K. K. | |
dc.contributor.author | Çayırlı, Tuğba | |
dc.date.accessioned | 2021-03-03T12:17:23Z | |
dc.date.available | 2021-03-03T12:17:23Z | |
dc.date.issued | 2020-01-02 | |
dc.identifier.issn | 0160-5682 | en_US |
dc.identifier.uri | http://hdl.handle.net/10679/7360 | |
dc.identifier.uri | https://www.tandfonline.com/doi/abs/10.1080/01605682.2018.1557023 | |
dc.description.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. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Taylor & Francis | en_US |
dc.rights | restrictedAccess | |
dc.title | Managing clinic variability with same-day scheduling, intervention for no-shows, and seasonal capacity adjustments | en_US |
dc.type | Article | en_US |
dc.peerreviewed | yes | en_US |
dc.publicationstatus | Published | en_US |
dc.contributor.department | Özyeğin University | |
dc.contributor.authorID | (ORCID 0000-0001-7515-8716 & YÖK ID 26584) Çayırlı, Tuğba | |
dc.contributor.ozuauthor | Çayırlı, Tuğba | |
dc.identifier.volume | 71 | en_US |
dc.identifier.issue | 1 | en_US |
dc.identifier.startpage | 133 | en_US |
dc.identifier.endpage | 152 | en_US |
dc.identifier.wos | WOS:000589418800009 | |
dc.identifier.doi | 10.1080/01605682.2018.1557023 | en_US |
dc.subject.keywords | Appointment scheduling | en_US |
dc.subject.keywords | Open access | en_US |
dc.subject.keywords | Same-day demand and walk-ins | en_US |
dc.subject.keywords | Simulation | en_US |
dc.identifier.scopus | SCOPUS:2-s2.0-85062367214 | |
dc.contributor.authorFemale | 1 | |
dc.relation.publicationcategory | Article - International Refereed Journal - Institutional Academic Staff |
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