A Goal Programming Approach to Nurse Scheduling with Individual Preference Satisfaction

The use of scheduling optimization tools is essential in creating an efficient nurse shift-rotation schedule. A well-designed nurse scheduling technique can improve nurses’ job satisfaction and their intention to stay. This study develops a goal programming approach to nurse scheduling that simultaneously considers workload fairness and individual preferences on working shift and day off assignments. A case study of an operating room at a hospital in Thailand is used to illustrate the model capabilities for solving an actual nurse scheduling problem. The job satisfaction factors defined based on an interview and questionnaire survey are integrated into the model. When compared against the manual scheduling result, the optimal schedules can be implemented to improve the nurse’s perception of fairness and preference satisfaction. The analysis of fairness and multiple individual preferences based on a case study investigation is the main contribution of this study.

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

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

[3]  Sanja Petrovic.  “You have to get wet to learn how to swim” applied to bridging the gap between research into personnel scheduling and its implementation in practice , 2019, Ann. Oper. Res..

[4]  David Caswell,et al.  Rerostering of nurses with intelligent agents and iterated local search , 2016 .

[5]  Komgrit Leksakul,et al.  Nurse Scheduling Using Genetic Algorithm , 2014 .

[6]  Gino J. Lim,et al.  Multi-objective Nurse Scheduling Models with Patient Workload and Nurse Preferences , 2012 .

[7]  Eunjung Ryu,et al.  Authentic Leadership, Job Satisfaction, and Organizational Commitment: The Moderating Effect of Nurse Tenure. , 2019, Journal of nursing management.

[8]  A. Bartosiewicz,et al.  A nursing shortage – a prospect of global and local policies , 2018, International nursing review.

[9]  Orly Toren,et al.  Israeli nurse practice environment characteristics, retention, and job satisfaction , 2014, Israel Journal of Health Policy Research.

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

[11]  Fadi El-Jardali,et al.  Exploring the relationship between work environment, job satisfaction, and intent to stay of Jordanian nurses in underserved areas. , 2016, Applied nursing research : ANR.

[12]  Christine Brown Mahoney,et al.  Turnover, Burnout, and Job Satisfaction of Certified Registered Nurse Anesthetists in the United States: Role of Job Characteristics and Personality. , 2020, AANA journal.

[13]  Shu-Ching Chi,et al.  Exploring the Association Between Nurse Workload and Nurse-Sensitive Patient Safety Outcome Indicators , 2012, The journal of nursing research : JNR.

[14]  Xiaoyu Li,et al.  Nurses' intention to stay: The impact of perceived organizational support, job control and job satisfaction. , 2020, Journal of advanced nursing.

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

[16]  Xuanqi Zhang,et al.  A two-stage heuristic algorithm for the nurse scheduling problem with fairness objective on weekend workload under different shift designs , 2017 .

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

[18]  Zheng-Yun Zhuang,et al.  Solving an outpatient nurse scheduling problem by binary goal programming , 2014 .

[19]  Delores Dede J McCreary,et al.  Home Health Nursing Job Satisfaction and Retention: Meeting the Growing Need for Home Health Nurses. , 2020, The Nursing clinics of North America.

[20]  Efy Afifah,et al.  The Impact of Nurse Scheduling Management on Nurses’ Job Satisfaction in Army Hospital: A Cross-Sectional Research , 2019, SAGE Open.

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

[22]  Salim Haddadi,et al.  Simple, Yet Fast and Effective Two-Phase Method for Nurse Rostering , 2020, American Journal of Mathematical and Management Sciences.

[23]  J. Baker,et al.  The relationship between workforce characteristics and perception of quality of care in mental health: A qualitative study. , 2019, International journal of nursing studies.

[24]  Seyed Mojtaba Sajadi,et al.  Simulation optimisation for nurse scheduling in a hospital emergency department (case study: Shahid Beheshti Hospital) , 2016 .

[25]  Peter Griffiths,et al.  Hospital nurse staffing and staff–patient interactions: an observational study , 2019, BMJ Quality & Safety.

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

[27]  John Levine,et al.  A hybrid integer and constraint programming approach to solve nurse rostering problems , 2017, Comput. Oper. Res..

[28]  C. Koning,et al.  Does self-scheduling increase nurses' job satisfaction? An integrative literature review. , 2014, Nursing management.

[29]  U. Martin,et al.  Organizational and individual factors influencing job satisfaction and burnout of mental health workers. , 1998, Social work in health care.

[30]  Sri Mardiyati,et al.  Solving cyclical nurse scheduling problem using preemptive goal programming , 2017 .

[31]  Toni Bakhtiar,et al.  Nurses Scheduling by Considering the Qualification using Integer Linear Programming , 2016 .

[32]  Jane Conway,et al.  How do nurse consultant job characteristics impact on job satisfaction? An Australian quantitative study , 2017, BMC Nursing.

[33]  Alaa Albashayreh,et al.  Nursing Work Environment, Turnover Intention, Job Burnout, and Quality of Care: The Moderating Role of Job Satisfaction. , 2019, Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing.

[34]  Elizabeth Halcomb,et al.  Job Satisfaction and Career Intention of Australian General Practice Nurses: A Cross-Sectional Survey. , 2020, Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing.

[35]  M. Mohammadian,et al.  Scheduling Nurse Shifts Using Goal Programming based on Nurse Preferences: A Case Study in an Emergency Department , 2019, International Journal of Engineering.

[36]  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.

[37]  Ting Cao,et al.  Effects of organizational justice, work engagement, and nurses' perception of care quality on turnover intention among newly licensed registered nurses: A structural equation modelling approach. , 2020, Journal of clinical nursing.

[38]  Ben Niu,et al.  Nurse scheduling problem based on hydrologic cycle optimization , 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

[39]  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.