JACIII Vol.19 No.5 pp. 585-592
doi: 10.20965/jaciii.2015.p0585


Optimal Outpatient Appointment System with Uncertain Parameters Using Adaptive-Penalty Genetic Algorithm

Napat Harnpornchai*,†, Kittawit Autchariyapanitkul**, Jirakom Sirisrisakulchai*, and Songsak Sriboonchitta*

*Faculty of Economics, Chiang Mai University
239 Huay Kaew Rd., Muang District, Chiang Mai 52000, Thailand

**Faculty of Economics, Maejo University
63 Moo 4, Tambon Nong Han, Sansai District, Chiang Mai 52090, Thailand

Corresponding author

September 29, 2014
February 19, 2015
September 20, 2015
outpatient appointment system, adaptive-penalty GA, uncertainty
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.
Cite this article as:
N. Harnpornchai, K. Autchariyapanitkul, J. Sirisrisakulchai, and S. Sriboonchitta, “Optimal Outpatient Appointment System with Uncertain Parameters Using Adaptive-Penalty Genetic Algorithm,” J. Adv. Comput. Intell. Intell. Inform., Vol.19 No.5, pp. 585-592, 2015.
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