A Framework for a Practical Nurse Scheduling Approach: A Case of Operating Room of a Hospital in Thailand

Nurse Schedule Problem (NSP) is the assignment of nurses to fulfill hospitals operational goal and regulations. The major aim of NSP is to minimize the total cost, maximizing nurse’s satisfaction, or maintain balanced distribution among preferable assignments and workloads. This paper is the preliminary research in development of NSP for a case of an operating room at a private hospital in Pathumthani, Thailand. An interview with the head nurse was conducted to capture insights and emerging issues that the head nurse wants to resolve. Then, a framework is proposed as a guideline for the development stochastic optimization model to tackle uncertainties in patients’ arrival and surgery duration which are the main concerns. This paper aims to serve as a fundamental stage for a further case based NSP development research.

[1]  Lin Xie,et al.  Simulated annealing approach to nurse rostering benchmark and real-world instances , 2019, Ann. Oper. Res..

[2]  Chun-Cheng Lin,et al.  Nurse Scheduling with Joint Normalized Shift and Day-Off Preference Satisfaction Using a Genetic Algorithm with Immigrant Scheme , 2015, Int. J. Distributed Sens. Networks.

[3]  Marcus Eng Hock Ong,et al.  Nurse workforce scheduling in the emergency department: A sequential decision support system considering multiple objectives , 2018, Journal of nursing management.

[4]  Li Xu,et al.  Secure Cooperative Spectrum Sensing and Allocation in Distributed Cognitive Radio Networks , 2015, Int. J. Distributed Sens. Networks.

[5]  Samah Senbel,et al.  A Bi-level heuristic solution for the nurse scheduling problem based on shift-swapping , 2018, 2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC).

[6]  Mohsen Bagheri,et al.  An application of stochastic programming method for nurse scheduling problem in real word hospital , 2016, Comput. Ind. Eng..

[7]  H. Kondo,et al.  The impact of rotating work schedules, chronotype, and restless legs syndrome/Willis-Ekbom disease on sleep quality among female hospital nurses and midwives: A cross-sectional survey. , 2019, International journal of nursing studies.

[8]  Chun-Cheng Lin,et al.  Modelling a Nurse Shift Schedule with Multiple Preference Ranks for Shifts and Days-Off , 2014 .

[9]  Wallace Agyei,et al.  Modeling Nurse Scheduling Problem Using 0-1 Goal Programming: A Case Study Of Tafo Government Hospital, Kumasi-Ghana , 2015 .

[10]  Ahmet Sarucan,et al.  Nurse scheduling using binary fuzzy goal programming , 2015, 2015 6th International Conference on Modeling, Simulation, and Applied Optimization (ICMSAO).

[11]  Erjon Duka.  Nurse Scheduling Problem , 2015 .

[12]  Margarida Vaz Pato,et al.  A computational application for multi-skill nurse staffing in hospital units , 2018, BMC Medical Informatics and Decision Making.

[13]  Geoffrey T Fong,et al.  Socioeconomic patterns of smoking cessation behavior in low and middle-income countries: Emerging evidence from the Global Adult Tobacco Surveys and International Tobacco Control Surveys , 2019, PloS one.

[14]  D. Peters,et al.  A general theory of rotorcraft trim , 1996 .

[15]  Dario Pacciarelli,et al.  Guest editorial to the featured cluster "Advances in stochastic optimization" , 2020, Eur. J. Oper. Res..

[16]  B. Thompson.  Does work-induced fatigue accumulate across three compressed 12 hour shifts in hospital nurses and aides? , 2019, PloS one.

[17]  Ya-Hui Hsieh,et al.  A study on nurse day-off scheduling under the consideration of binary preference , 2016 .

[18]  Nysret Musliu,et al.  Integer programming model extensions for a multi-stage nurse rostering problem , 2019, Ann. Oper. Res..

[19]  Kayse Lee Maass,et al.  Incorporating nurse absenteeism into staffing with demand uncertainty , 2017, Health care management science.

[20]  Jérémy Omer,et al.  An online stochastic algorithm for a dynamic nurse scheduling problem , 2017, Eur. J. Oper. Res..

[21]  Eugénio C. Oliveira,et al.  A Weighted Constraint Optimization Approach to the Nurse Scheduling Problem , 2015, 2015 IEEE 18th International Conference on Computational Science and Engineering.

[22]  M. Nashat Fors,et al.  A new formulation and solution for the nurse scheduling problem: A case study in Egypt , 2018 .