A Mathematical Model for Operating Room Scheduling Considering Limitations on Human Resources Access and Patient Prioritization | ||
Journal of Quality Engineering and Production Optimization | ||
مقاله 5، دوره 4، شماره 2، مرداد 2019، صفحه 67-82 اصل مقاله (1.1 M) | ||
نوع مقاله: 15th IIEC conference selected papers | ||
شناسه دیجیتال (DOI): 10.22070/jqepo.2020.4519.1110 | ||
نویسندگان | ||
Parisa Maghzi* 1؛ Mina Roohnavazfar2؛ Mohammad Mohammadi3؛ Bahman Naderi3 | ||
1P.hD Student, Department of Industrial Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran. | ||
2P.hD Student, Department of Industrial Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran | ||
3Associate Professor, Department of Industrial Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran. | ||
چکیده | ||
Operating room scheduling is an important task in healthcare sector. This study proposes a Mixed Integer Nonlinear Programming (MINLP) mathematical model for the scheduling of the operating rooms. In the presented model, apart from scheduling the patients’ surgery process, shifting of the medical staff is also carried out. The innovation considered in the proposed model is aimed at prioritizing patients in the operation process, according to the priority and level of the patient’s emergencies, and operating room treatment processes. Ultimately, the proposed model is assessed with random data, and in addition to scheduling patients based on the level of service delivery priority, the medical staff has been scheduled, as well. Furthermore, the sensitivity analysis results reveal that the proposed model is very sensitive to preoperative preparation times, and this bottleneck needs to be improved in the hospitals. On the other hand, this study presents solutions to improve the operating room scheduling and improving the status of patient services to manage and optimize operating room scheduling that result in satisfied patients. | ||
کلیدواژهها | ||
Healthcare centers؛ Modeling؛ Operating room؛ Planning؛ Scheduling | ||
آمار تعداد مشاهده مقاله: 440 تعداد دریافت فایل اصل مقاله: 670 |