Three-phase method for Nurse Rostering

Haddadi, Salim

doi:10.1080/17509653.2018.1534619

Cited by 5 publications

(4 citation statements)

References 27 publications

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“…Hyper-Heuristic is defined as an automated methodology for creating and selecting heuristics to solve computationally difficult problems [106,107]. Matheuristic algorithms are the combination of meta-heuristic algorithms and mathematical optimization [108][109][110][111][112], which NSP is starting to become popular among health researchers [13].…”

Section: Related Workmentioning

confidence: 99%

A Decision Support System For Skill-Based Nurse Scheduling In An Intensive Care Unit

PARILDAR>

Akyürek²,

Akay

2024

Gazi University Journal of Science

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The main goal of health institutions is to provide the health services needed by society at the desired quality with the lowest possible cost. Considering the total number of employees in health institutions, nurse assignment and scheduling have an essential role in increasing efficiency and improving service quality due to the one-to-one interaction of nurses with patients. This study proposes a nurse scheduling model based on nurses’ skill levels incorporated into a decision support system. The skill level of nurses is assessed using Analytic Hierarchy Process and Technique for Order Preference by Similarity to Ideal Solution method based on eight criteria. The nurse scheduling problem is then modeled with 0-1 Goal Programming, considering the skill assessment as a constraint. The applicability of the proposed model is examined for the assignment and scheduling conditions of nurses at the 3rd level of surgical intensive care in a general hospital, and the valuable aspects of the proposed approach are discussed. When the proposed solution is compared with the current situation, it is realized that one nurse is saved without worsening the constraints.

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Section: Related Workmentioning

confidence: 99%

A Decision Support System For Skill-Based Nurse Scheduling In An Intensive Care Unit

PARILDAR>

Akyürek²,

Akay

2024

Gazi University Journal of Science

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“…Haddadi [39] proposed a three-phase matheuristic to address the NSPLib dataset. Firstly, a variable fixing heuristic was used to reduce the original NRP instance size, producing a reduced problem called RNRP.…”

Section: E Matheuristicsmentioning

confidence: 99%

“…The state-of-the-art methods for this dataset are Multi-Assignment Procedures Algorithm (MAPA) [31] and a hybrid of Variable Fixing Heuristic, Iterated Local Search and Mixed Integer Programming [39]. Other approaches that utilized this dataset are Harmony Search Algorithm [25] and a hybrid of Variable Fixing Heuristic and Mixed Integer Programming [38].…”

Section: Nurse Scheduling Problem Library Dataset (Nsplib)mentioning

confidence: 99%

“…[1] hopes to improve the exploration capability of their methodology by suggesting another destroy-and-recreate vertical mechanism for individual days instead of individual nurses. [39] would like to improve the ILS (second phase) by diversifying the search instead of searching around the best solution. [53] suggests refining the primal-dual algorithm and enhance it with non-linear updates.…”

Section: Future Directions (Research Opportunities)mentioning

confidence: 99%

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A Survey of the Nurse Rostering Solution Methodologies: The State-of-the-Art and Emerging Trends

et al. 2022

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This paper presents an overview of recent advances for the Nurse Rostering Problem (NRP) based on methodological papers published between 2012 to 2021. It provides a comprehensive review of the latest solution methodologies, particularly computational intelligence (CI) approaches, utilized in benchmark and real-world nurse rostering. The methodologies are systematically categorised (Heuristics, Meta-heuristics, Hyper-heuristics, Mathematical Optimisation, Matheuristics, Hybrid Approaches). The NRP benchmark repositories and the respective state-of-the-art methods are also presented. A distinctive feature of this survey is its focus on the emerging trends in terms of solution methodologies and benchmark datasets. Matheuristics, one of most popular methodologies in addressing the NRP, has been an emerging trend in recent years (2018 onwards). The INRC-I dataset is the most popular benchmark currently in use by researchers to test their algorithms. An in-depth discussion on the challenges and research opportunities is provided. We hope that the summary and analysis of the recently published NRP methodological papers in this survey is valuable for the CI and Operational Research (OR) communities especially early career researchers seeking to find gaps and identify emerging trends in this fast-developing, important research area.

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Constructing modified variable neighborhood search approaches to solve a nurse scheduling problem

Chen,

Huang,

Chen

et al. 2024

International Journal of Production Research

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Three-phase method for Nurse Rostering

Cited by 5 publications

References 27 publications

A Decision Support System For Skill-Based Nurse Scheduling In An Intensive Care Unit

A Decision Support System For Skill-Based Nurse Scheduling In An Intensive Care Unit

A Survey of the Nurse Rostering Solution Methodologies: The State-of-the-Art and Emerging Trends

Constructing modified variable neighborhood search approaches to solve a nurse scheduling problem

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