Optimal outpatient appointment system with uncertain parameters using adaptive-penalty genetic algorithm

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 th...

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Main Authors:	Napat Harnpornchai, Kittawit Autchariyapanitkul, Jirakom Sirisrisakulchai, Songsak Sriboonchitta
Format:	Journal
Published:	2018
Subjects:	Agricultural and Biological Sciences
Online Access:	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84943376386&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/44736
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Institution:	Chiang Mai University

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spelling	th-cmuir.6653943832-447362018-04-25T07:52:57Z Optimal outpatient appointment system with uncertain parameters using adaptive-penalty genetic algorithm Napat Harnpornchai Kittawit Autchariyapanitkul Jirakom Sirisrisakulchai Songsak Sriboonchitta Agricultural and Biological Sciences 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. 2018-01-24T04:47:18Z 2018-01-24T04:47:18Z 2015-01-01 Journal 18838014 13430130 2-s2.0-84943376386 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84943376386&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/44736
institution	Chiang Mai University
building	Chiang Mai University Library
country	Thailand
collection	CMU Intellectual Repository
topic	Agricultural and Biological Sciences
spellingShingle	Agricultural and Biological Sciences Napat Harnpornchai Kittawit Autchariyapanitkul Jirakom Sirisrisakulchai Songsak Sriboonchitta Optimal outpatient appointment system with uncertain parameters using adaptive-penalty genetic algorithm
description	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.
format	Journal
author	Napat Harnpornchai Kittawit Autchariyapanitkul Jirakom Sirisrisakulchai Songsak Sriboonchitta
author_facet	Napat Harnpornchai Kittawit Autchariyapanitkul Jirakom Sirisrisakulchai Songsak Sriboonchitta
author_sort	Napat Harnpornchai
title	Optimal outpatient appointment system with uncertain parameters using adaptive-penalty genetic algorithm
title_short	Optimal outpatient appointment system with uncertain parameters using adaptive-penalty genetic algorithm
title_full	Optimal outpatient appointment system with uncertain parameters using adaptive-penalty genetic algorithm
title_fullStr	Optimal outpatient appointment system with uncertain parameters using adaptive-penalty genetic algorithm
title_full_unstemmed	Optimal outpatient appointment system with uncertain parameters using adaptive-penalty genetic algorithm
title_sort	optimal outpatient appointment system with uncertain parameters using adaptive-penalty genetic algorithm
publishDate	2018
url	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84943376386&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/44736
_version_	1681422614695772160

Optimal outpatient appointment system with uncertain parameters using adaptive-penalty genetic algorithm

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