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dc.contributor.authorYang, K. K.
dc.contributor.authorÇayırlı, Tuğba
dc.date.accessioned2021-03-03T12:17:23Z
dc.date.available2021-03-03T12:17:23Z
dc.date.issued2020-01-02
dc.identifier.issn0160-5682en_US
dc.identifier.urihttp://hdl.handle.net/10679/7360
dc.identifier.urihttps://www.tandfonline.com/doi/abs/10.1080/01605682.2018.1557023
dc.description.abstractThis 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.isoengen_US
dc.publisherTaylor & Francisen_US
dc.rightsrestrictedAccess
dc.titleManaging clinic variability with same-day scheduling, intervention for no-shows, and seasonal capacity adjustmentsen_US
dc.typeArticleen_US
dc.peerreviewedyesen_US
dc.publicationstatusPublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID 0000-0001-7515-8716 & YÖK ID 26584) Çayırlı, Tuğba
dc.contributor.ozuauthorÇayırlı, Tuğba
dc.identifier.volume71en_US
dc.identifier.issue1en_US
dc.identifier.startpage133en_US
dc.identifier.endpage152en_US
dc.identifier.wosWOS:000589418800009
dc.identifier.doi10.1080/01605682.2018.1557023en_US
dc.subject.keywordsAppointment schedulingen_US
dc.subject.keywordsOpen accessen_US
dc.subject.keywordsSame-day demand and walk-insen_US
dc.subject.keywordsSimulationen_US
dc.identifier.scopusSCOPUS:2-s2.0-85062367214
dc.contributor.authorFemale1
dc.relation.publicationcategoryArticle - International Refereed Journal - Institutional Academic Staff


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