A two-stage method to determine the allocation and scheduling of medical staff in uncertain environments

Chen, Ping-Shun; Lin, Yingjie; Peng, Nai-Chun

doi:10.1016/j.cie.2016.07.018

Cited by 35 publications

(16 citation statements)

References 30 publications

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“…They analyzed the bottleneck resources' problem for optimizing medical resource scheduling through the drum-buffer-rope scheduling manner. To address the challenge of medical staff allocation and the scheduling in random environments, a two-stage algorithm based on goal planning has been proposed by Chen et al [19] to identify the minimum number of medical staff needed and arrange the optimal schedule for them. Zonouzi and Kargari [20] constructed a new mathematical model based on the data mining methods to maximize ambulances' coverage to demand points under uncertain conditions of rescue stations.…”

Section: Literature Reviewmentioning

confidence: 99%

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Two-stage stochastic programming approach for limited medical reserves allocation under uncertainties

Zhang

Jiao

et al. 2021

Complex Intell. Syst.

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At the early stage of public health emergencies, when the conventional medical reserves prepared are insufficient, and productivity could temporarily not meet the surge in demand, donations can be used to cover excess demand for medical supplies to a large extent. This paper explicitly considers the allocation problem of limited medical reserves during a public health emergency, incorporating uncertainty in demand and donated supplies and the priorities of health care centers. The problem is formulated as a two-stage stochastic program that regards the donated supplies as an efficient recourse action, aiming to minimize the total losses. The optimal allocation strategy of limited medical reserves and donations is obtained by solving the model using Gurobi solver. Finally, the effectiveness of the proposed approach is verified by a series of computational results, which show that the solutions of our method not only benefit the emergency demand fulfill rate but reduce the total losses as well.

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Section: Literature Reviewmentioning

confidence: 99%

“…(3) There exists a partition (M 1 , M 2 ) of the set M of rows, where M 1 comes from the rows of constraints (12,13,14,15) after performing row operations make up and M 2 from constraints ( 16) to (19), such that each column j containing two nonzero coefficients satisfies ∑…”

Section: Appendix: Proof Of Propositionmentioning

confidence: 99%

Two-stage stochastic programming approach for limited medical reserves allocation under uncertainties

Zhang

Jiao

et al. 2021

Complex Intell. Syst.

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“…Personnel planning is central to an organisation's strategic and human resources planning process [13]. Numerous studies have investigated personnel planning in healthcare organisations specifically, such as nurse and doctor scheduling in hospitals [14,15] and nursing staffing level planning and scheduling in nursing homes [16,17]. Service schedule modelling and nursing staff assignment have been studied widely in the context of healthcare settings, such as medical centres [18] and home-care companies [19].…”

Section: Factors Affecting Nursing Staffing Optimisationmentioning

confidence: 99%

Blockchain-IoT-Driven Nursing Workforce Planning for Effective Long-Term Care Management in Nursing Homes

Tsang

Leung

et al. 2021

Journal of Healthcare Engineering

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Due to the global ageing population, the increasing demand for long-term care services for the elderly has directed considerable attention towards the renovation of nursing homes. Although nursing homes play an essential role within residential elderly care, professional shortages have created serious pressure on the elderly service sector. Effective workforce planning is vital for improving the efficacy and workload balance of existing nursing staff in today’s complex and volatile long-term care service market. Currently, there is lack of an integrated solution to monitor care services and determine the optimal nursing staffing strategy in nursing homes. This study addresses the above challenge through the formulation of nursing staffing optimisation under the blockchain-internet of things (BIoT) environment. Embedding a blockchain into IoT establishes the long-term care platform for the elderly and care workers, thereby decentralising long-term care information in the nursing home network to achieve effective care service monitoring. Moreover, such information is further utilised to optimise nursing staffing by using a genetic algorithm. A case study of a Hong Kong nursing home was conducted to illustrate the effectiveness of the proposed system. We found that the total monthly staffing cost after using the proposed model was significantly lower than the existing practice with a change of −13.48%, which considers the use of heterogeneous workforce and temporary staff. Besides, the care monitoring and staffing flexibility are further enhanced, in which the concept of skill substitution is integrated in nursing staffing optimisation.

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“…Chen ve diğ. [45], çalışmalarında belirsiz ortamlarda tıbbi personel tahsisi ile entegre edilen personel çizelgeleme problemini incelemişlerdir. Gerekli olan minimum tıbbi personeli belirlemek ve en iyi programı oluşturmak için hedef programlamaya dayalı iki aşamalı bir yöntem geliştirmişlerdir.…”

Section: Ahp Ve Hedef Programlama Ile Gerçekleştirilen Personel çIzelgeleme çAlışmalarıunclassified

Scheduling of part time personnel in a university library with AHP and goal programming

Supçiller¹,

Erbilek²

2021

Pamukkale J Eng Sci

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Personel çizelgeleme, müşteri beklentilerinin sağlanmasında ve işgücü gereksiniminin gerektiği gibi planlanmasında oldukça önemlidir. Vardiyalı olarak çalışan personellerin verilen hizmeti çok iyi bir şekilde yerine getirmesi için günlük çalıştıkları vardiyaların düzenli ve sistemli bir biçimde planlanması gerekmektedir. Bu çalışmada bir üniversite merkez kütüphanesinde kısmi zamanlı çalışan 42 öğrencinin haftalık vardiya düzeninin belirlenmesi problemi ele alınmıştır. Öğrencilerin haftalık ders programları da dikkate alınarak, uygun gün ve vardiyalara atamalarının yapılabilmesi için hedef programlama ve Analitik Hiyerarşi Prosesi yöntemleri kullanılmıştır. Problemin çözümü için GAMS 23.5 programı ile ağırlıklı hedef programlama modeli oluşturularak, istenen hedef ve kısıtları sağlayan bir çizelge elde edilmiştir. Personnel scheduling is quite important in ensuring customer expectations and planning workforce requirements properly. The daily shifts should be planned in a regular and systematic manner so that shift workers would be able to perform their services as required. In this study, the problem of determining the weekly shift order of 42 students working part-time at a university central library was discussed. Goal programming and Analytic Hierarchy Process methods were used for assigning the students to the appropriate days and shifts by considering their weekly course schedules. The GAMS 23.5 program was used to develop a weighted goal programming model to solve the issue. A schedule providing the desired objectives and constraints was obtained.

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A two-stage method to determine the allocation and scheduling of medical staff in uncertain environments

Cited by 35 publications

References 30 publications

Two-stage stochastic programming approach for limited medical reserves allocation under uncertainties

Two-stage stochastic programming approach for limited medical reserves allocation under uncertainties

Blockchain-IoT-Driven Nursing Workforce Planning for Effective Long-Term Care Management in Nursing Homes

Scheduling of part time personnel in a university library with AHP and goal programming

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