Show simple item record

dc.contributor.authorÇayırlı, Tuğba
dc.contributor.authorDursun, P.
dc.contributor.authorGüneş, E. D.
dc.date.accessioned2020-07-08T08:09:11Z
dc.date.available2020-07-08T08:09:11Z
dc.date.issued2019-06
dc.identifier.issn1936-6582en_US
dc.identifier.urihttp://hdl.handle.net/10679/6731
dc.identifier.urihttps://link.springer.com/article/10.1007/s10696-017-9304-8
dc.description.abstractThis study analyzes two decision levels in appointment system design in the context of clinics that face seasonal demand for scheduled and walk-in patients. The macro-level problem addresses access rules dealing with capacity allocation decisions in terms of how many slots to reserve for walk-ins and scheduled patients given fixed daily capacity for the clinic session. The micro-level problem addresses scheduling rules determining the specific time slots for scheduled arrivals. A fully-integrated simulation model is developed where daily demand actualized at the macro level becomes an input to the micro model that simulates the in-clinic dynamics, such as the arrivals of walk-ins and scheduled patients, as well as stochastic service times. The proposed integrated approach is shown to improve decision-making by considering patient lead times (i.e., indirect wait), direct wait times, and clinic overtime as relevant measures of performance. The traditional methods for evaluating appointment system performance are extended to incorporate multiple trade-offs. This allows combining both direct wait and indirect wait that are generally addressed separately due to time scale differences (minutes vs. days). The results confirm the benefits of addressing both decision levels in appointment system design simultaneously. We investigate how environmental factors affect the performance and the choice of appointment systems. The most critical environmental factors emerge as the demand load, seasonality level, and percentage of walk-ins, listed in the decreasing order of importance.en_US
dc.description.sponsorshipTÜBİTAK
dc.language.isoengen_US
dc.publisherSpringer Natureen_US
dc.relationinfo:turkey/grantAgreement/TUBITAK/109K451
dc.relation.ispartofFlexible Services and Manufacturing Journal
dc.rightsrestrictedAccess
dc.titleAn integrated analysis of capacity allocation and patient scheduling in presence of seasonal walk-insen_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.volume31en_US
dc.identifier.issue2en_US
dc.identifier.startpage524en_US
dc.identifier.endpage561en_US
dc.identifier.wosWOS:000470143700011
dc.identifier.doi10.1007/s10696-017-9304-8en_US
dc.subject.keywordsOperations research in healthcareen_US
dc.subject.keywordsAppointment schedulingen_US
dc.subject.keywordsCapacity allocationen_US
dc.subject.keywordsSimulationen_US
dc.subject.keywordsDemand seasonalityen_US
dc.subject.keywordsWalk-insen_US
dc.identifier.scopusSCOPUS:2-s2.0-85062358984
dc.contributor.authorFemale1
dc.relation.publicationcategoryArticle - International Refereed Journal - Institution Academic Staff


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record


Share this page