TY  - JOUR
T1  - Development of Mathematical Model for Operating Room Scheduling
AU - Santoso, Linda Wahyuni AU - Sudiarso, Andi AU - Masruroh, Nur Aini AU - Herliansyah, Muhammad Kusumawan 
JO  - Journal of Engineering and Applied Sciences
VL  - 12
IS  - 21
SP  - 5413
EP  - 5417
PY  - 2017
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2017.5413.5417
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2017.5413.5417
KW  - Clustering analysis
KW  -operating room
KW  -scheduling
KW  -real conditions
KW  -surgery
KW  -data
AB  - One of the problems faced in the process of operating room scheduling is the uncertainty in the
surgical duration. Surgical duration uncertainty often causes the hospital to change the initial operating room
schedule, even the schedule can not be started earlier. This system leads to prolonged patient waiting time and
staff overtime. This study develops a mathematical model for operating room scheduling which aims at
minimizing patient waiting time and staff overtime. Clustering analysis is used to determine the priority in
scheduling patients while hill climbing is developed to solve the model to find out daily operating room
schedule. Computational experiment was performed based on real surgery data of elective patients to examine
performance quality of this proposed model. The results indicate that waiting time and overtime experience a
decrease of 40.04 and 29.54%, respectively compared to real conditions.
ER  -