Integrated operating room planning and scheduling: an ILP-Based off-line approach for emergency responsiveness at a local hospital in Naples

被引：0

作者：

Boccia, Maurizio ^{[1
]}

Mancuso, Andrea ^{[1
]}

Masone, Adriano ^{[1
]}

Sterle, Claudio ^{[1
,2
]}

机构：

[1] Department of Electrical Engineering and Information Technology, University of Naples “Federico II”, Via Claudio 21, Naples

[2] Institute for System Analysis and Computer Science “Antonio Ruberti”, National Research Council of Italy, via dei Taurini 19, Rome

来源：

Soft Computing | 2024年 / 28卷 / 20期

关键词：

Healthcare management; Integer linear programming; Off-line optimization approach; Surgery scheduling;

D O I：

10.1007/s00500-024-09945-z

中图分类号：

学科分类号：

摘要：

This paper addresses a real-world Integrated Operating Room Planning and Scheduling (IORPS) problem encountered by a local hospital in Naples, characterized by stringent emergency management constraints, requiring treatment initiation within a 20-minute time-window. We tackle this problem by an original Integer Linear Programming formulation, capable of dealing with different operating room management strategies (open, block and block-modified). Our work differs from conventional cost-focused models by adopting a patient-oriented objective function, aligning with public hospitals obligations. The proposed method has been validated using real-world data provided by the hospital. The performed experimentation demonstrates the efficiency of the approach, capable of determining the optimal solution within an acceptable computation time that aligns with hospital requirements. Moreover, it also highlights the relevance of using our optimization approach to reduce delays in emergency responsiveness. This confirms its practical usage as a substitute for the current manual procedure. © The Author(s) 2024.

引用

页码：11987 / 12003

页数：16

共 48 条

[21]

Hashemi Doulabi S.H., Rousseau L.-M., Pesant G., A constraint-programming-based branch-and-price-and-cut approach for operating room planning and scheduling, Inf J Comput, 28, 3, pp. 432-448, (2016)

[22]

Jebali A., Alouane A.B.H., Ladet P., Operating rooms scheduling, Int J Prod Econ, 99, 1-2, pp. 52-62, (2006)

[23]

Jung K.S., Pinedo M., Sriskandarajah C., Tiwari V., Scheduling elective surgeries with emergency patients at shared operating rooms, Prod Oper Manag, 28, 6, pp. 1407-1430, (2019)

[24]

Lamiri M., Xie X., Dolgui A., Grimaud F., A stochastic model for operating room planning with elective and emergency demand for surgery, Eur J Oper Res, 185, 3, pp. 1026-1037, (2008)

[25]

Luo Y.Y., Wang B., A new method of block allocation used in two-stage operating rooms scheduling, IEEE Access, 7, pp. 102820-102831, (2019)

[26]

Marques I., Captivo M.E., Pato M.V., An integer programming approach to elective surgery scheduling, OR Spectrum, 34, 2, pp. 407-427, (2012)

[27]

Marques I., Captivo M.E., Pato M.V., A bicriteria heuristic for an elective surgery scheduling problem, Health care Manag Sci, 18, 3, pp. 251-266, (2015)

[28]

Mateus C., Marques I., Captivo M.E., Local search heuristics for a surgical case assignment problem, Oper Res Health Care, 17, pp. 71-81, (2018)

[29]

Meskens N., Duvivier D., Hanset A., Multi-objective operating room scheduling considering desiderata of the surgical team, Decision Support Syst, 55, 2, pp. 650-659, (2013)

[30]

Miao H., Wang J.-J., Scheduling elective and emergency surgeries at shared operating rooms with emergency uncertainty and waiting time limit, Comput Indust Eng, 160, (2021)

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