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Solving overbooking appointment scheduling problem under patient no show condition using heuristics procedure and genetic algorithm


Citation

Chua, W. Y. and Rahmin, N. A. A. and Nawawi, A (2021) Solving overbooking appointment scheduling problem under patient no show condition using heuristics procedure and genetic algorithm. Mathematical Modeling and Computing, 9 (1). 65 - 73. ISSN 2312-9794

Abstract

The existence of an efficient appointment schedule is important in the healthcare system since it can minimize patient waiting time, resource idle time, and resource overtime and, hence, optimize the utilization and productivity of healthcare organization. In this research, the overbooking technique is implemented to compensate for patient no-show behavior. The aims of this research are to identify the maximum number of patients that can be assigned to a time slot by examining the effects of multiple assignment and to construct a near-optimal overbooking appointment schedule. Heuristics procedure and genetic algorithm are used in this research. From the results obtained, the number of patients that can be assigned to a time slot is found to be at most three. This information can reduce the conflict which may occur when the patients arrive simultaneously. The results also show that the genetic algorithm has a better performance than the heuristics procedure in solving this problem.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Science
DOI Number: https://doi.org/10.23939/mmc2022.01.065
Publisher: Lviv Polytechnic National University
Keywords: Overbooking; No-show; Multiple assignment; Heuristics procedure; Model of genetic algorithms
Depositing User: Ms. Che Wa Zakaria
Date Deposited: 11 Apr 2023 08:28
Last Modified: 11 Apr 2023 08:28
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.23939/mmc2022.01.065
URI: http://psasir.upm.edu.my/id/eprint/95108
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