Operating room scheduling with Generalized Disjunctive Programming

Castro, Pedro M.; Marqués, Inês

doi:10.1016/j.cor.2015.06.002

Cited by 34 publications

(15 citation statements)

References 34 publications

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“…Researchers have established the relationship between efficient scheduling in operation rooms and maximising utilisation [7,[19][20][21][22]. Some of the other articles and researchers have explained operation room scheduling by dividing patients into two categories namely, elective [9,15,17,[23][24][25][26][27][28]. and non-elective [29][30][31][32][33].…”

Section: Literature Reviewmentioning

confidence: 99%

“…They used five surgery tests to resolve the following problems: improvement of patient flow, optimisation of operation room management and increasing the level of exploitation of the available resources at the hospital. Castro and Marques [28] focused on elective surgery. They proposed a GDP model based on IP planning models and MILP scheduling model to improve the overall time for surgery and to increase the number of surgeries.…”

Section: Literature Reviewmentioning

confidence: 99%

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Operating Rooms Scheduling for Elective Surgeries in a Hospital Affected by War-Related Incidents

Ali

Lamsali²,

Othman³

2019

J Med Syst

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Hospital scheduling presents huge challenges for the healthcare industry. Various studies have been conducted in many different countries with focus on both elective and non-elective surgeries. There are important variables and factors that need to be taken into considerations. Different methods and approaches have also been used to examine hospital scheduling. Notwithstanding the continuous changes in modern healthcare services and, in particular, hospital operations, consistent reviews and further studies are still required. The importance of hospital scheduling, particularly, has become more critical as the trade-off between limited resources and overwhelming demand is becoming more evident. This situation is even more pressing in a volatile country where shootings and bombings in public areas happened. Hospital scheduling for elective surgeries in volatile country such as Iraq is therefore often interrupted by non-elective surgeries due to war-related incidents. Hence, this paper intends to address this issue by proposing a hospital scheduling model with focus on neuro-surgery department. The aim of the model is to maximize utilization of operating room while concurrently minimizing idle time of surgery. The study focused on neurosurgery department in Al-Shahid Ghazi Al-Hariri hospital in Baghdad, Iraq. In doing so, a Mixed-integer linear programming (MILP) model is formulated where interruptions of non-elective surgery are incorporated into the main elective surgery based model. Computational experiment is then carried out to test the model. The result indicates that the model is feasible and can be solved in reasonable times. Nonetheless, its feasibility is further tested as the problems size and the computation times is getting bigger and longer. Application of heuristic methods is the way forward to ensure better practicality of the proposed model. In the end, the potential benefit of this study and the proposed model is discussed.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Operating Rooms Scheduling for Elective Surgeries in a Hospital Affected by War-Related Incidents

Ali

Lamsali²,

Othman³

2019

J Med Syst

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“…Several studies integrated advance and allocation scheduling problems. In order to maximize the scheduled surgical cases, Castro and Marques [23] proposed a new two-level decomposition algorithm for the mixed-integer linear programming model considering surgery priorities. Roshanaei et al [24] extended the problem from a unique hospital to hospitals' network, and developed a novel logic-based Benders' decomposition approach to solve the proposed mixed-integer programming model.…”

Section: Literature Reviewmentioning

confidence: 99%

Multiple Due Time Surgical Scheduling With Truncated Learning and Deteriorating Effect

Song¹,

Zhang²,

Zhu³

2019

IEEE Access

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The surgical scheduling problem that incorporates the surgical duration, the setup time, the turnover time and the due time is studied in this paper. The actual surgical duration is affected by the normal duration, the surgical sequence, the accumulated experience of surgical teams and a controlling parameter. Besides, the surgical duration, the setup time and the turnover time are affected by the deteriorating effect, which means when the start time, the setup time or the turnover time of a surgery is postponed, the actual duration, the actual setup time or the actual turnover time will be prolonged. A schedule problem is formulated to minimize the maximum surgical tardiness. By building and analyzing the surgical scheduling model, each surgical team should operate surgeries according to a non-decreasing order of patients' normal surgical duration. Furthermore, a branch-and-bound algorithm is provided to solve the surgical teams scheduling problem. Our experimental results show the effectiveness and stability of our proposed algorithm. INDEX TERMS Deteriorating effect, surgical scheduling, truncated learning effect, various due times.

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“…Lately, Marchesi and Pacheco (2016) have used a genetic algorithm to solve the master surgical schedule problem while Hancerliogullari et al (2016) use simulated annealing to generate the schedules for a set of ORs. Two quite different approaches can be found in Roshanaei et al (2017) and Castro and Marques (2015). In Roshanaei et al (2017) they use logic-based Benders' decomposition to schedule a distributed set of ORs across a network of hospitals while Castro and Marques (2015) use generalised disjunctive programming for the room scheduling problem.…”

Section: Literature Reviewmentioning

confidence: 99%

Planning and scheduling operating rooms for elective and emergency surgeries with uncertain duration

Kroer

Foverskov

Vilhelmsen

et al. 2018

Operations Research for Health Care

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Operating room scheduling with Generalized Disjunctive Programming

Cited by 34 publications

References 34 publications

Operating Rooms Scheduling for Elective Surgeries in a Hospital Affected by War-Related Incidents

Operating Rooms Scheduling for Elective Surgeries in a Hospital Affected by War-Related Incidents

Multiple Due Time Surgical Scheduling With Truncated Learning and Deteriorating Effect

Planning and scheduling operating rooms for elective and emergency surgeries with uncertain duration

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