Skip to main content
SpringerLink
Log in

Job-Satisfaction Enhancement in Nurse Scheduling: A Case of Hospital Emergency Department in Thailand

  • Conference paper
  • First Online:
Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM 2022)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13199))

  • 658 Accesses

Abstract

A well-designed nurse schedule can improve nurses’ job satisfaction, organizational commitment, and intention to stay. To generate effective scheduling outcomes, the simultaneous consideration of staffing costs, workload, individual preferences, and fairness must be made. However, the integration of these aspects into the scheduling model is still lacking in practice. This study develops a bi-objective mixed-integer linear programming approach for nurse scheduling that minimizes the total staffing cost while maximizing nurses’ preference-based satisfaction. The proposed model allows the nurses’ shift and day-off preferences to be fulfilled while ensuring equitable workloads and cost-effectiveness. The model is validated using actual data collected from a public hospital emergency department in Thailand with approximately 800 beds capacity. Our results highlight the performance of the proposed model in terms of cost, job satisfaction, and fairness compared to the manually-made schedule.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 54.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 69.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Min, A., Hong, H.C., Son, S., Lee, T.: Sleep, fatigue and alertness during working hours among rotating-shift nurses in Korea: an observational study. J. Nurs. Manag. 29(8), 2647–2657 (2021)

    Article  Google Scholar 

  2. Ferri, P., Guadi, M., Marcheselli, L., Balduzzi, S., Magnani, D., Di Lorenzo, R.: The impact of shift work on the psychological and physical health of nurses in a general hospital: a comparison between rotating night shifts and day shifts. Risk Manag. Healthcare Policy 9, 203–211 (2016)

    Article  Google Scholar 

  3. Navajas-Romero, V., Ariza-Montes, A., Hernández-Perlines, F.: Analyzing the job demands-control-support model in work-life balance: a study among nurses in the European context. Int. J. Environ. Res. Public Health 17(8), 2847 (2020)

    Article  Google Scholar 

  4. Lee, E., Jang, I.: Nurses’ fatigue, job stress, organizational culture, and turnover intention: a culture-work-health model. West. J. Nurs. Res. 42(2), 108–116 (2020)

    Article  Google Scholar 

  5. Gebregziabher, D., Berhanie, E., Berihu, H., Belstie, A., Teklay, G.: The relationship between job satisfaction and turnover intention among nurses in Axum comprehensive and specialized hospital Tigray, Ethiopia. BMC Nurs. 19(1), 79 (2020)

    Article  Google Scholar 

  6. Shin, Y., Park, S.H., Kim, J.K.: A study on relationship among organizational fairness, motivation, job satisfaction, intention to stay of nurses. J. Korea Contents Assoc. 14(10), 596–609 (2014)

    Article  Google Scholar 

  7. Dewi, N.M.U.K., Januraga, P.P., Suarjana, K.: The relationship between nurse job satisfaction and turnover intention: a private hospital case study in Bali, Indonesia. In: Proceedings of the 4th International Symposium on Health Research (ISHR 2019). Atlantis Press, Paris, France (2020)

    Google Scholar 

  8. Fasbender, U., Van der Heijden, B.I.J.M., Grimshaw, S.: Job satisfaction, job stress and nurses’ turnover intentions: the moderating roles of on-the-job and off-the-job embeddedness. J. Adv. Nurs. 75(2), 327–337 (2019)

    Article  Google Scholar 

  9. Iqbal, S., Iram, M.: Determinants of medication errors among nurses in public sector. Pak. J. Nurs. Midwifery 2(1), 271–276 (2018)

    Google Scholar 

  10. Albashayreh, A., Al Sabei, S.D., Al-Rawajfah, O.M., Al-Awaisi, H.: Healthy work environments are critical for nurse job satisfaction: implications for Oman. Int. Nurs. Rev. 66(3), 389–395 (2019)

    Article  Google Scholar 

  11. Rizany, I., Hariyati, R.T.S., Afifah, E., Rusdiyansyah: The impact of nurse scheduling management on nurses’ job satisfaction in army hospital: a cross-sectional research. SAGE Open 9(2), 1–9 (2019). https://doi.org/10.1177/2158244019856189

  12. Choi, S., Kim, M.: Effects of structural empowerment and professional governance on autonomy and job satisfaction of the Korean nurses. J. Nurs. Manag. 27(8), 1664–1672 (2019)

    Article  Google Scholar 

  13. Topbaş, E., et al.: The effect of perceived organisational justice on job satisfaction and burnout levels of haemodialysis nurses. J. Ren. Care 45(2), 120–128 (2019)

    Article  Google Scholar 

  14. Zanda, S., Zuddas, P., Seatzu, C.: Long term nurse scheduling via a decision support system based on linear integer programming: a case study at the University Hospital in Cagliari. Comput. Ind. Eng. 126(September), 337–347 (2018)

    Article  Google Scholar 

  15. Svirsko, A.C., Norman, B.A., Rausch, D., Woodring, J.: Using mathematical modeling to improve the emergency department nurse-scheduling process. J. Emerg. Nurs. 45(4), 425–432 (2019)

    Article  Google Scholar 

  16. Burke, E.K., Li, J., Qu, R.: A Pareto-based search methodology for multi-objective nurse scheduling. Ann. Oper. Res. 196(1), 91–109 (2012)

    Article  MathSciNet  Google Scholar 

  17. Wright, P.D., Mahar, S.: Centralized nurse scheduling to simultaneously improve schedule cost and nurse satisfaction. Omega (United Kingdom) 41(6), 1042–1052 (2013)

    Google Scholar 

  18. Lin, R.C., Sir, M.Y., Sisikoglu, E., Pasupathy, K., Steege, L.M.: Optimal nurse scheduling based on quantitative models of work-related fatigue. IIE Trans. Healthcare Syst. Eng. 3(1), 23–38 (2013)

    Article  Google Scholar 

  19. Becker, T., Steenweg, P.M., Werners, B.: Cyclic shift scheduling with on-call duties for emergency medical services. Health Care Manag. Sci. 22(4), 676–690 (2018). https://doi.org/10.1007/s10729-018-9451-9

    Article  Google Scholar 

  20. Huang, L., Ye, C., Gao, J., Shih, P.C., Mngumi, F., Mei, X.: Personnel scheduling problem under hierarchical management based on intelligent algorithm. Complexity 2021, 14 p. (2021). https://doi.org/10.1155/2021/6637207. Article ID 6637207

  21. Hamid, M., Tavakkoli-Moghaddam, R., Golpaygani, F., Vahedi-Nouri, B.: A multi-objective model for a nurse scheduling problem by emphasizing human factors. Proc. Inst. Mech. Eng. Part H: J. Eng. Med. 234, 179–199 (2020)

    Article  Google Scholar 

  22. Michael, C., Jeffery, C., David, C.: Nurse preference rostering using agents and iterated local search. Ann. Oper. Res. 226(1), 443–461 (2014). https://doi.org/10.1007/s10479-014-1701-8

    Article  MATH  Google Scholar 

  23. Youssef, A., Senbel, S.: A bi-level heuristic solution for the nurse scheduling problem based on shift-swapping. In: 2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC), pp. 72–78. IEEE, January 2018

    Google Scholar 

  24. Lin, C.C., Kang, J.R., Chiang, D.J., Chen, C.L.: Nurse scheduling with joint normalized shift and day-off preference satisfaction using a genetic algorithm with immigrant scheme. Int. J. Distrib. Sens. Netw. 2015, 10 p. (2015). https://doi.org/10.1155/2015/595419. Article ID 595419

  25. Rerkjirattikal, P., Huynh, V.N., Olapiriyakul, S., Supnithi, T.: A goal programming approach to nurse scheduling with individual preference satisfaction. Math. Prob. Eng. 2020, 11 p. (2020). https://doi.org/10.1155/2020/2379091. Article ID 2379091

  26. Rerkjirattikal, P., Olapiriyakul, S.: Overtime assignment and job satisfaction in noise-safe job rotation scheduling. In: Seki, H., Nguyen, C.H., Huynh, V.-N., Inuiguchi, M. (eds.) IUKM 2019. LNCS (LNAI), vol. 11471, pp. 26–37. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-14815-7_3

    Chapter  Google Scholar 

  27. Soriano, J., Jalao, E.R., Martinez, I.A.: Integrated employee scheduling with known employee demand, including breaks, overtime, and employee preferences. J. Ind. Eng. Manag. 13(3), 451 (2020)

    Google Scholar 

  28. Nasiri, M.M., Rahvar, M.: A two-step multi-objective mathematical model for nurse scheduling problem considering nurse preferences and consecutive shifts. Int. J. Serv. Oper. Manag. 27(1), 83–101 (2017)

    Google Scholar 

  29. Ang, B.Y., Lam, S.W.S., Pasupathy, Y., Ong, M.E.H.: Nurse workforce scheduling in the emergency department: a sequential decision support system considering multiple objectives. J. Nurs. Manag. 26(4), 432–441 (2018)

    Article  Google Scholar 

  30. Chiaramonte, M., Caswell, D.: Rerostering of nurses with intelligent agents and iterated local search. IIE Trans. Healthcare Syst. Eng. 6(4), 213–222 (2016)

    Article  Google Scholar 

  31. Fügener, A., Pahr, A., Brunner, J.O.: Mid-term nurse rostering considering cross-training effects. Int. J. Prod. Econ. 196, 176–187 (2018)

    Article  Google Scholar 

  32. Hamid, M., Barzinpour, F., Hamid, M., Mirzamohammadi, S.: A multi-objective mathematical model for nurse scheduling problem with hybrid DEA and a ugmented \(\epsilon \) -constraint method : A case study. J. Ind. Syst. Eng. 11, 98–108 (2018)

    Google Scholar 

  33. Petrovic, S.: “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. Ann. Oper. Res. 275(1), 161–179 (2019)

    Article  MathSciNet  Google Scholar 

  34. Di Martinelly, C., Meskens, N.: A bi-objective integrated approach to building surgical teams and nurse schedule rosters to maximise surgical team affinities and minimise nurses’. Int. J. Prod. Econ. 191, 323–334 (2017)

    Article  Google Scholar 

Download references

Acknowledgement

First, the authors would like to express our gratitude to the Thammasat University Hospital for granting permission to collect data. Second, we would like to thank the head nurse and nurses working in the emergency department for facilitating the data collection and participating in the field survey. Last, this study was supported by Thammasat University Research Fund, Contract No. TUFT 052/2563.

Author information

Authors and Affiliations

  1. School of Knowledge Science, Japan Advanced Institute of Science and Technology, Ishikawa, 923-1211, Japan

    Pavinee Rerkjirattikal, Raveekiat Singhaphandu & Van-Nam Huynh

  2. School of Manufacturing Systems and Mechanical Engineering, Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani, 12120, Thailand

    Pavinee Rerkjirattikal, Raveekiat Singhaphandu & Sun Olapiriyakul

Authors
  1. Pavinee Rerkjirattikal
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Raveekiat Singhaphandu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Van-Nam Huynh
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Sun Olapiriyakul
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Sun Olapiriyakul .

Editor information

Editors and Affiliations

  1. Osaka Prefecture University, Sakai, Osaka, Japan

    Katsuhiro Honda

  2. University of Hyogo, Kobe, Japan

    Tomoe Entani

  3. Osaka Prefecture University, Sakai, Japan

    Seiki Ubukata

  4. Japan Advanced Institute of Science and Technology, Nomi, Japan

    Van-Nam Huynh

  5. Osaka University, Toyonaka, Osaka, Japan

    Masahiro Inuiguchi

Rights and permissions

Reprints and permissions

Copyright information

© 2022 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Rerkjirattikal, P., Singhaphandu, R., Huynh, VN., Olapiriyakul, S. (2022). Job-Satisfaction Enhancement in Nurse Scheduling: A Case of Hospital Emergency Department in Thailand. In: Honda, K., Entani, T., Ubukata, S., Huynh, VN., Inuiguchi, M. (eds) Integrated Uncertainty in Knowledge Modelling and Decision Making. IUKM 2022. Lecture Notes in Computer Science(), vol 13199. Springer, Cham. https://doi.org/10.1007/978-3-030-98018-4_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-98018-4_12

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-98017-7

  • Online ISBN: 978-3-030-98018-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation