Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/104508
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dc.contributorDepartment of Industrial and Systems Engineeringen_US
dc.creatorLee, CKMen_US
dc.creatorNg, KKHen_US
dc.creatorCheng, MCen_US
dc.date.accessioned2024-02-05T08:50:39Z-
dc.date.available2024-02-05T08:50:39Z-
dc.identifier.isbn978-1-5323-5945-3en_US
dc.identifier.urihttp://hdl.handle.net/10397/104508-
dc.language.isoenen_US
dc.publisherIEOM Societyen_US
dc.rights© IEOM Society Internationalen_US
dc.rightsThe following publication Lee, C. K. M., Ng, K. K. H., & Cheng, M. C. (2018, January). Appointment scheduling optimization for specialist outpatient services. In Proceedings of the 2nd European conference on industrial engineering and operations management (IEOM) (pp. 876-883) is available at https://ieomsociety.org/paris2018/proceedings/.en_US
dc.subjectAppointment scheduling optimization modelen_US
dc.subjectAppointment scheduling problemen_US
dc.subjectLINGOen_US
dc.titleAppointment scheduling optimization for specialist outpatient servicesen_US
dc.typeConference Paperen_US
dc.identifier.spage876en_US
dc.identifier.epage883en_US
dcterms.abstractAging population and expecting a higher living standard in the developed countries cause demanding and high quality service in healthcare industry respectively. However, one of the customer requirement is to reduce the waiting time to see the doctor in the high demand of public medical.As a result, service appointment scheduling is the important issue. The poor medical service scheduling may lead to the complaints from patients on waiting time. Researchers tried to minimize the hospital explicit and implicit cost and maximize patient’s satisfaction by adopting the appointment scheduling rules. The trade-off is considered in appointment scheduling problem. In general, solving appointment scheduling problem includes simulation and analytical method. The proposed approach allows hospital to take as a reference to further improve the appointment scheduling system. In this research, appointment scheduling optimization model with LINGO software using the exact algorithm is applied into the appointment scheduling problem for the outpatient clinic. The performance of the appointment scheduling optimization model is examined in difference case scenario and performance improvement is realized.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationProceedings of the 2nd European Conference on Industrial Engineering and Operations Management (IEOM), Paris, France, July 26-27, 2018, p. 876-883en_US
dcterms.issued2018-
dc.relation.conferenceEuropean Conference on Industrial Engineering and Operations Management [IEOM]en_US
dc.description.validate202402 bcchen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberISE-0716-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe Hong Kong Polytechnic Universityen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS19773521-
dc.description.oaCategoryVoR alloweden_US
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