Bibliographies thématiques / Master surgical scheduling

Littérature scientifique sur le sujet « Master surgical scheduling »

Auteur : Grafiati

Publié le 10 mars 2023

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Articles de revues sur le sujet "Master surgical scheduling"

van Oostrum, Jeroen M., Tessa Parlevliet, Albert P. M. Wagelmans et Geert Kazemier. « A Method for Clustering Surgical Cases to Allow Master Surgical Scheduling ». INFOR : Information Systems and Operational Research 49, n^o 4 (novembre 2011) : 254–60. http://dx.doi.org/10.3138/infor.49.4.254.

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van Oostrum, Jeroen M., M. Van Houdenhoven, J. L. Hurink, E. W. Hans, G. Wullink et G. Kazemier. « A master surgical scheduling approach for cyclic scheduling in operating room departments ». OR Spectrum 30, n^o 2 (21 septembre 2006) : 355–74. http://dx.doi.org/10.1007/s00291-006-0068-x.

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Britt, Justin, M. Fazle Baki, Ahmed Azab, Abderrahmane Chaouch et Xiangyong Li. « A stochastic hierarchical approach for the master surgical scheduling problem ». Computers & ; Industrial Engineering 158 (août 2021) : 107385. http://dx.doi.org/10.1016/j.cie.2021.107385.

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van Oostrum, Jeroen M., Eelco Bredenhoff et Erwin W. Hans. « Suitability and managerial implications of a Master Surgical Scheduling approach ». Annals of Operations Research 178, n^o 1 (27 août 2009) : 91–104. http://dx.doi.org/10.1007/s10479-009-0619-z.

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Patrão, Rafael L., Reinaldo C. Garcia et João M. da Silva. « An Integrated Two-Level Integer Linear Program (ILP) Model for Elective Surgery Scheduling : A Case Study in an Italian Hospital ». Mathematics 10, n^o 11 (1 juin 2022) : 1901. http://dx.doi.org/10.3390/math10111901.

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The urban population is increasing worldwide. This demographic shift generates great pressure over public services, especially those related to health-care. One of the most expensive health-care services is surgery, and in order to contain this growing cost of providing better services, the efficiency of surgical centers must be improved. This work proposes an integer linear programming model (ILP) considering the case-mix planning (CMP) and the master surgical scheduling (MSS) problems. The case-mix planning problem deals with the planning of the number of operating rooms to be assigned to surgical specialties. The master surgical scheduling is related to when to assign the rooms to the different specialties. The developed model uses a data set from a hospital of the city of Turin, Italy. The results are very promising, showing a reduction from 240 weeks to 144 weeks to empty the surgical waiting list (WL). Moreover, if changes to the hospital situation are implemented, including the introduction of two new surgical teams into one of the hospital’s specialties, the time to empty the surgical WL could decrease to 79 weeks.

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Azab, Ahmed, Mohammed Fazle Baki, Justin Britt et Xiangyong Li. « Stochastic Goal Programming and Metaheuristics for the Master Surgical Scheduling Problem ». International Journal of Operational Research 1, n^o 1 (2020) : 1. http://dx.doi.org/10.1504/ijor.2020.10035229.

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Britt, Justin, Xiangyong Li, Ahmed Azab et Mohammed Fazle Baki. « Stochastic goal programming and metaheuristics for the master surgical scheduling problem ». International Journal of Operational Research 43, n^o 1/2 (2022) : 5. http://dx.doi.org/10.1504/ijor.2022.121492.

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Banditori, C., P. Cappanera et F. Visintin. « A combined optimization-simulation approach to the master surgical scheduling problem ». IMA Journal of Management Mathematics 24, n^o 2 (17 janvier 2013) : 155–87. http://dx.doi.org/10.1093/imaman/dps033.

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M'Hallah, Rym, et Filippo Visintin. « A stochastic model for scheduling elective surgeries in a cyclic Master Surgical Schedule ». Computers & ; Industrial Engineering 129 (mars 2019) : 156–68. http://dx.doi.org/10.1016/j.cie.2019.01.030.

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Cappanera, Paola, Filippo Visintin et Carlo Banditori. « Comparing resource balancing criteria in master surgical scheduling : A combined optimisation-simulation approach ». International Journal of Production Economics 158 (décembre 2014) : 179–96. http://dx.doi.org/10.1016/j.ijpe.2014.08.002.

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Thèses sur le sujet "Master surgical scheduling"

Geranmayeh, Shirin. « Optimizing Surgical Scheduling Through Integer Programming and Robust Optimization ». Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/32976.

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This thesis proposes and verifies a number of optimization models for re-designing a master surgery schedule with minimized peak inpatient load at the ward. All models include limitations on Operating Rooms and surgeons availability. Surgeons` preference is included with regards to a consistent weekly schedule over a cycle. The uncertain in patients` length of stay was incorporated using discrete probability distributions unique to each surgeon. Furthermore, robust optimization was utilized to protect against the uncertainty in the number of inpatients a surgeon may send to the ward per block. Different scenarios were developed that explore the impact of varying the availability of operating rooms on each day of the week. The models were solved using Cplex and were verified by an Arena simulation model.

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BANDITORI, CARLO. « Development and implementation of models and tools supporting the master surgical scheduling process ». Doctoral thesis, 2015. http://hdl.handle.net/2158/1010087.

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The operating theatre is one of the most critical functional area in a hospital. In fact, it drives most of the hospital admissions and it is responsible for most of its costs. Optimising the operating theatre operations, is therefore a primary concern for an increasing number of hospitals. In this regard, one of the most challenging problem that hospitals need to face is the planning and scheduling of the surgical activities. This thesis focuses on the master surgical scheduling (MSS) problem. Such a problem consists in the determination of (i) the specialty (or specialties) to assign to each operating room and session of each day of the planning cycle and (ii) the number and the typologies of surgeries that should be performed in each operating room session. A number of authors have proposed models to support such a process. However, most of them test the models, often on real data, but do not illustrate practical aspects of their implementations. This thesis concerns an action research study aiming at addressing this gap and thus at developing and implementing a MSS tool in a real context i.e. the Meyer children’s hospital in Florence. As an action research, this study has a twofold objective: to solve a practically relevant problem and to contribute to the body of knowledge. In fact, first, it aims to implement a MSS tool at the Meyer hospital. Second, it proposes novel mixed integer programming models addressing the MSS problem and provides fresh insights about the its implementation process. These experience-driven evidences may be useful for researcher and practitioners to increase the chance to success in the transfer of a MSS model to their hospital settings.

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Norouzi, Esfahani Nasim. « Application of Lean Methods and Multi-Objective Optimization to Improve Surgical Patients Flow at Winnipeg Children’s Hospital ». 2011. http://hdl.handle.net/1993/4771.

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This research has been defined in response to the Winnipeg children's hospital (WCH) challenges such as long waiting times, delays and cancellations in surgical flow. Preliminary studies on the surgical flow revealed that definition and implementation of successful process improvement projects (PIPs) along with application of an efficient master surgical schedule (MSS) are efficient solutions to the critical problems in WCH. In the first phase of this work, a process improvement program including three major PIPs, is defined and implemented in WCH in order to improve the efficiency of the processes providing surgical service for patients. In the second phase, two new multi-objective mathematical models are presented to develop efficient MSSs for operating room department (OR) in WCH.

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Chapitres de livres sur le sujet "Master surgical scheduling"

Sigurpalsson, Asgeir Orn, Thomas Philip Runarsson et Rognvaldur J. Saemundsson. « Stochastic Master Surgical Scheduling Under Ward Uncertainty ». Dans Springer Proceedings in Mathematics & ; Statistics, 163–76. Cham : Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39694-7_13.

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Cappanera, Paola, Filippo Visintin et Carlo Banditori. « A Goal-Programming Approach to the Master Surgical Scheduling Problem ». Dans Health Care Systems Engineering for Scientists and Practitioners, 155–66. Cham : Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-35132-2_15.

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Banditori, Carlo, Paola Cappanera et Filippo Visintin. « Investigating the Relationship Between Resources Balancing and Robustness in Master Surgical Scheduling ». Dans Proceedings of the International Conference on Health Care Systems Engineering, 149–62. Cham : Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-01848-5_12.

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Ghasemkhani, Ahmad, Reza Tavakkoli-Moghaddam, Mahdi Hamid et Mehdi Mahmoodjanloo. « An Improvement in Master Surgical Scheduling Using Artificial Neural Network and Fuzzy Programming Approach ». Dans IFIP Advances in Information and Communication Technology, 254–62. Cham : Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-57997-5_30.

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Actes de conférences sur le sujet "Master surgical scheduling"

Kharraja, Said, Pascal Albert et Sondes Chaabane. « Block Scheduling : Toward a Master Surgical Schedule ». Dans 2006 International Conference on Service Systems and Service Management. IEEE, 2006. http://dx.doi.org/10.1109/icsssm.2006.320501.

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