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Surgical scheduling with antagonistic human resource objectives

Author

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  • Thibaud Monteiro
  • Nadine Meskens
  • Tao Wang

Abstract

Daily operating theatre scheduling is a complex problem with strong constraints and various objectives to optimise. In this article, we aim not only to optimise the classical objectives of scheduling performance, such as the makespan and the cost of overtime, but also, particularly, to upgrade human resource management performance by means of two additional objectives: a short-term objective on the quality of teamwork and a long-term objective on the level of nurses’ skills. The quality of teamwork depends on affinities between team members, which also have a significant impact on the quality and the safety of surgery. It maintains the unity of surgical teams. Such unity is however unfavourable to nurses’ skill diversification. In order to counterbalance this tendency, the long-term objective proposed is for nurses to acquire the widest possible spectrum of skills, in order to be able to assist surgeons in unplanned and emergency surgery. Taking into account these two antagonistic human resources objectives contributes to patient safety through better team building. It is the main originality of this work. In the long term, this method reduces the impact of this antagonism. In addition, we use the multi-objective ε -constraint method to obtain Pareto optimal solutions.

Suggested Citation

  • Thibaud Monteiro & Nadine Meskens & Tao Wang, 2015. "Surgical scheduling with antagonistic human resource objectives," International Journal of Production Research, Taylor & Francis Journals, vol. 53(24), pages 7434-7449, December.
    • Handle: RePEc:taf:tprsxx:v:53:y:2015:i:24:p:7434-7449
    DOI: 10.1080/00207543.2015.1082040
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    Cited by:

    1. Lu Liu & Chun Wang & Jianjun Wang, 2019. "A combinatorial auction mechanism for surgical scheduling considering surgeon’s private availability information," Journal of Combinatorial Optimization, Springer, vol. 37(1), pages 405-417, January.
    2. Sean Harris & David Claudio, 2022. "Current Trends in Operating Room Scheduling 2015 to 2020: a Literature Review," SN Operations Research Forum, Springer, vol. 3(1), pages 1-42, March.
    3. Zhang, Jian & Dridi, Mahjoub & El Moudni, Abdellah, 2020. "Column-generation-based heuristic approaches to stochastic surgery scheduling with downstream capacity constraints," International Journal of Production Economics, Elsevier, vol. 229(C).
    4. Ioannis Koukoumpliakos, 2021. "How Corporate Social Responsibility Affects the Aspects of Human Resources Management," Economics Working Papers 2021-01, University of South Bohemia in Ceske Budejovice, Faculty of Economics.
    5. Di Martinelly, Christine & Meskens, Nadine, 2017. "A bi-objective integrated approach to building surgical teams and nurse schedule rosters to maximise surgical team affinities and minimise nurses' idle time," International Journal of Production Economics, Elsevier, vol. 191(C), pages 323-334.
    6. Şeyda Gür & Mehmet Pınarbaşı & Hacı Mehmet Alakaş & Tamer Eren, 2023. "Operating room scheduling with surgical team: a new approach with constraint programming and goal programming," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 31(4), pages 1061-1085, December.
    7. Akbarzadeh, Babak & Moslehi, Ghasem & Reisi-Nafchi, Mohammad & Maenhout, Broos, 2019. "The re-planning and scheduling of surgical cases in the operating room department after block release time with resource rescheduling," European Journal of Operational Research, Elsevier, vol. 278(2), pages 596-614.
    8. Babak Akbarzadeh & Ghasem Moslehi & Mohammad Reisi-Nafchi & Broos Maenhout, 2020. "A diving heuristic for planning and scheduling surgical cases in the operating room department with nurse re-rostering," Journal of Scheduling, Springer, vol. 23(2), pages 265-288, April.

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