Improved estimation of surgery duration using exponential distribution for the elective surgery scheduling problem

Citation

Ab Rashid, Nur Shafiqah and Abd Rahmin, Nor Aliza and Mohamed Ali, Nazihah and Leong, Wah June (2020) Improved estimation of surgery duration using exponential distribution for the elective surgery scheduling problem. Advances in Mathematics: Scientific Journal, 9 (12). 10929 - 10938. ISSN 1857-8365; ESSN: 1857-8438

Abstract

Surgery scheduling problem is complicated since the surgery duration is uncertain and a good method to estimate the surgery duration accurately is needed. Failure to do so might affect the operating room (OR) utilization and patient’s waiting time. This paper uses statistical distribution for the elective patient’s surgery duration to produce a good estimation of length of the surgery duration. Our aim is to maximize the sum of the urgency values assigned to each surgery. The results show that Exponential Distribution (ED) is better than Uniform Distribution (UD) in scheduling the urgency value for scheduled surgeries. ED also reduces the urgency value for the unscheduled surgeries slightly.

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Additional Metadata

Item Type:	Article
Divisions:	Faculty of Science
DOI Number:	https://doi.org/10.37418/amsj.9.12.76
Publisher:	AIP
Keywords:	Surgery scheduling problem; Heuristic; Surgery duration; Exponential disribution; Uniform distribution
Depositing User:	Ms. Nuraida Ibrahim
Date Deposited:	20 Sep 2021 12:45
Last Modified:	20 Sep 2021 12:45
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.37418/amsj.9.12.76
URI:	http://psasir.upm.edu.my/id/eprint/89314
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