Seniority-based surgery scheduling and team assignment


Dıdem Batur Sır G. D., Oner N., Erol S.

Sadhana - Academy Proceedings in Engineering Sciences, cilt.50, sa.2, 2025 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 50 Sayı: 2
  • Basım Tarihi: 2025
  • Doi Numarası: 10.1007/s12046-025-02740-y
  • Dergi Adı: Sadhana - Academy Proceedings in Engineering Sciences
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aerospace Database, Communication Abstracts, Compendex, INSPEC, Metadex, zbMATH, Civil Engineering Abstracts
  • Anahtar Kelimeler: mixed integer linear programming, Operating room scheduling, surgeon seniority, surgery types, surgical team assignment
  • Gazi Üniversitesi Adresli: Evet

Özet

Crucial resources for surgical operations are obviously operating rooms and surgical teams. It is essential to ensure the equitable assignment of operations to both operating rooms and surgical teams, taking into account the capacities, resting periods, and cleaning times. Additionally, the varying levels of expertise required for different types of surgeries should be considered. In this study, we focus on these challenges within the context of surgery scheduling and team assignment problems. We propose a mathematical model-based solution approach for operating room planning that aligns surgical teams with the specific requirements of various procedures, consistent with real life applications. Key considerations include appropriate workload distribution, sufficient rest times, and opportunities for surgeon training. By utilizing the methodology presented in this study, we effectively assign daily planned operations to the appropriate operating rooms and surgical teams. The proposed procedure is successfully applied to real data from the otorhinolaryngology department of a public hospital, as well as to randomly generated test problems. This study provides exact solutions for the aforementioned surgery scheduling and team assignment issues.