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dc.contributor.authorAslani, Nazanin
dc.description.abstractThis study develops a method to determine the most efficient scheduling model for a specific clinic setting. The appointment scheduling system assigns clinics' timeslots to incoming requests. There are three major scheduling models: centralized scheduling model (CSM), decentralized scheduling model (DSM) and hybrid scheduling model (HSM). In order to schedule multiple appointments, CSM involves one scheduler, DSM involves all the schedulers of individual clinics and HSM combines CSM and DSM. Clinic settings are different in terms of important factors such as randomness of appointment arrival and proportion of multiple appointments. Scheduling systems operate inefficiently if there is not an appropriate match between scheduling models and clinic settings to provide balance between indicators of efficiency. A procedure is developed to determine the most efficient scheduling model by the integrated contribution of simulation and Data Envelopment Analysis (DEA). A case study serves as a guide to use and as proof for the validity of the developed procedure.en_US
dc.publisherNorth Dakota State Universityen_US
dc.rightsNDSU policy 190.6.2en_US
dc.titleIntegration of Simulation and DEA to Determine the Most Efficient Patient Appointment Scheduling Model for a Specific Clinic Settingen_US
dc.typeThesisen_US
dc.date.accessioned2023-12-27T19:05:17Z
dc.date.available2023-12-27T19:05:17Z
dc.date.issued2011
dc.identifier.urihttps://hdl.handle.net/10365/33468
dc.subject.lcshMedical appointments and schedules.en_US
dc.subject.lcshMedical appointments and schedules -- Simulation methods.en_US
dc.subject.lcshData envelopment analysis.en_US
dc.rights.urihttps://www.ndsu.edu/fileadmin/policy/190.pdfen_US
ndsu.degreeMaster of Science (MS)en_US
ndsu.collegeEngineeringen_US
ndsu.departmentIndustrial and Manufacturing Engineeringen_US
ndsu.programIndustrial and Manufacturing Engineeringen_US
ndsu.advisorZhang, Jun


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