Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/54328
Title: Optimal outpatient appointment system with uncertain parameters using adaptive-penalty genetic algorithm
Authors: Napat Harnpornchai
Kittawit Autchariyapanitkul
Jirakom Sirisrisakulchai
Songsak Sriboonchitta
Keywords: Computer Science
Issue Date: 1-Sep-2015
Abstract: The optimal number of doctors and appointment interval for an outpatient appointment system in a class of individual block/fixed interval are determined using an adaptive-penalty Genetic Algorithm. The length of service time for doctor consultation, the time required for the laboratory tests, and the time deviating from the appointment time are modelled by random variables. No-show patients are also included in the system. Using the adaptive penalty scheme, optimization constraints are automatically and numerically handled. The solution methodology is readily applicable to other appointment systems. The study has a significant implication from the viewpoint of economic and risk management of health care service.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84943376386&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/54328
ISSN: 18838014
13430130
Appears in Collections:CMUL: Journal Articles

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