Surgical scheduling with simultaneous employment of specialised human resources

Silva, Thiago Augusto de Oliveira; Souza, Maurício C. de; Saldanha, R.R.; Burke, Edmund K.

doi:10.1016/j.ejor.2015.04.008

Cited by 39 publications

(19 citation statements)

References 35 publications

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“…Constraint (15) ensures that surgeries take place in this time window. Constraint (16) states that the preparation time of the operating room for the first surgery is zero. Constraint (17) states that completion time of the dummy activity is zero.…”

Section: The Mathematical Modelmentioning

confidence: 99%

“…In a project scheduling modeling framework, Roland et al 15 took surgeons, anesthetics, and nurses into account but without considering any constraint regarding PACU beds. Later, Silva et al 16 extended the model offered by Roland et al 15 They took into account specialized human resources that can be simultaneously employed in several surgeries and put more emphasis on the skill level and timetable of the surgical staff.…”

Section: Introduction and Literature Reviewmentioning

confidence: 99%

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Scheduling elective patients based on sequence-dependent setup times in an open-heart surgical department using an optimization and simulation approach

Hamid

Musavi

et al. 2018

SIMULATION

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The surgery ward is the most expensive and profitable section of a hospital. The decisions made in this section therefore produce significant effects on the overall performance of the hospital. Planning and scheduling of the surgeries in the operating rooms would obviously lead to the enhancement of the performance of the operating rooms. The setup time of the operating rooms is a very important factor in initiating next surgeries and consequently in the scheduling of elective patients. The preparation time is usually affected by the sequence of the surgeries, especially in critical and longer surgeries, such as open-heart surgeries. In this study, a two-stage procedure is applied to improve the performance of the open-heart surgical department. In the first stage, a mathematical model is proposed for planning and scheduling of the surgeries in the open-heart surgery ward, considering the sequence-dependent setup times. In the next stage, an estimation of the optimum number of intensive care unit beds is provided using the discrete event simulation method. Finally, using a real-life example, the applicability of the proposed model is demonstrated and an analysis of the effect of the recommended number of intensive care unit beds—extracted from the simulation model—on the performance of the surgical theater is performed.

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Section: The Mathematical Modelmentioning

confidence: 99%

Section: Introduction and Literature Reviewmentioning

confidence: 99%

Scheduling elective patients based on sequence-dependent setup times in an open-heart surgical department using an optimization and simulation approach

Hamid

Musavi

et al. 2018

SIMULATION

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“…In [4,5,26], multi-skill project scheduling problems with different optimization objective sets are formally described. In these problems, most project activities require only one human resource with a given skill.…”

Section: Related Workmentioning

confidence: 99%

“…However, to the best of the authors' knowledge, only few project scheduling problems take into consideration human resources with different effectiveness levels [3,4,5,6,10,22,23,26], a main characteristic of real project scheduling problems. Such project scheduling problems supposes very different assumptions about the effectiveness of human resources.…”

Section: Introductionmentioning

confidence: 99%

“…The project scheduling problems formally described in [3,4,5,26] suppose that human resources master one or several skills and have an effectiveness level for each mastered skill. Then, the effectiveness level of a human resource in a given project activity is determined by considering only the effectiveness level of the human resource in respect of one of the skills required for such activity.…”

Section: Introductionmentioning

confidence: 99%

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Project Scheduling: A Memetic Algorithm with Diversity-Adaptive Components that Optimizes the Effectiveness of Human Resources

Yannibelli

Amandi

2015

Polibits

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Abstract-In this paper, a project scheduling problem is addressed. This problem supposes valuable assumptions about the effectiveness of human resources, and also considers a priority optimization objective for project managers. This objective is optimizing the effectiveness levels of the sets of human resources defined for the project activities. A memetic algorithm is proposed for solving the addressed problem. This memetic algorithm incorporates diversity-adaptive components into the framework of an evolutionary algorithm. The incorporation of these components is meant for improving the performance of the evolutionary-based search, in both exploitation and exploration. The performance of the memetic algorithm on instance sets with different complexity levels is compared with those of the heuristic search and optimization algorithms reported until now in the literature for the addressed problem. The results obtained from the performance comparison indicate that the memetic algorithm significantly outperforms the algorithms previously reported.Index Terms-Project scheduling, human resource assignment, multi-skilled resources, memetic algorithms, evolutionary algorithms, simulated annealing algorithms.

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An Adaptive Hybrid Evolutionary Approach for a Project Scheduling Problem that Maximizes the Effectiveness of Human Resources

Yannibelli

2018

Advances in Soft Computing

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Surgical scheduling with simultaneous employment of specialised human resources

Cited by 39 publications

References 35 publications

Scheduling elective patients based on sequence-dependent setup times in an open-heart surgical department using an optimization and simulation approach

Scheduling elective patients based on sequence-dependent setup times in an open-heart surgical department using an optimization and simulation approach

Project Scheduling: A Memetic Algorithm with Diversity-Adaptive Components that Optimizes the Effectiveness of Human Resources

An Adaptive Hybrid Evolutionary Approach for a Project Scheduling Problem that Maximizes the Effectiveness of Human Resources

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