@article{MAKHILLJEAS2017122114947,
    title = {Development of Mathematical Model for Operating Room Scheduling},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {12},
    number = {21},
    pages = {5413-5417},
    year = {2017},
    issn = {1816-949x},
    doi = {jeasci.2017.5413.5417},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2017.5413.5417},
    author = {Linda Wahyuni,Andi,Nur Aini and},
    keywords = {Clustering analysis,operating room,scheduling,real conditions,surgery,data},
    abstract = {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.}
    }