Optimizing Staff Scheduling in Blood Production: A Case Study of Hospital X in Vietnam

Tan Tran Duc Khanh, Anh Nguyen Hang Giang

Abstract: Blood management is a critical healthcare operation, yet its workforce planning remains challenging due to unpredictable demand and limited staffing. This case study examines Hospital X in Vietnam, where persistent overtime and uneven shift allocations affect staff wellbeing and operational sustainability. To address these challenges, the study proposes a Mixed-Integer Linear Programming model to optimize schedules and minimize overtime. Additionally, a Genetic Algorithm is employed as a heuristic to generate feasible solutions efficiently. The methodology was validated using both synthetic data and real operational data from Hospital X. Results indicate improved workload balance and reduced overtime, offering a practical framework for workforce planning in blood prepa-ration and distribution units.

Keywords: Workforce Scheduling, Blood Bank Operations, Healthcare Logistics, Mixed-Integer Linear Programming, Genetic Algorithm

How to Cite?: Tan Tran Duc Khanh, Anh Nguyen Hang Giang, "Optimizing Staff Scheduling in Blood Production: A Case Study of Hospital X in Vietnam", Volume 14 Issue 7, July 2025, International Journal of Science and Research (IJSR), Pages: 1271-1277, https://www.ijsr.net/getabstract.php?paperid=SR25717115017, DOI: https://dx.doi.org/10.21275/SR25717115017