Multi-objective optimization for simultaneous operating room and nursing unit scheduling

Abstract

The managerial aspect of providing quality, cost-effective health services to hospital patients is becoming increasingly important. However, merely focusing on cost reduction and quality improvement may jeopardize personnel satisfaction. Therefore, a balanced approach based on multiple considerations is necessary. Operating rooms (ORs) account for almost 33% of a hospital’s budget, and nursing labor costs represent more than 40% of a hospital’s budget. The concerns around health-care quality, personnel motivation, staff satisfaction, patient length of stay, and patient flow rate are greatly influenced by these two units with regard to day-to-day operations management. A possible approach is to look into the related essential problems, such as the nursing staff time scheduling in nursing units, and the doctor time scheduling in ORs. After surgery in the OR, patients stay in the subsequent ward for a period of time. This causes loading interdependency between the anterior OR and the posterior ward nursing unit; as a result, an attempt to schedule these two departments simultaneously is necessary for operation efficiency enhancement, service quality improvement, hospital budget reduction, and personnel satisfaction. In order to achieve the multiple objectives describing the conflicting priorities and differing preferences within nursing units and ORs, a compromise programming is adopted in this study as a balancing tool for multi-objective optimization to realize improved OR and nursing unit scheduling.