Abstract
This paper studies a special scheduling problem under hierarchical management in nurse staff. This is a more complex rostering problem than traditional nurse scheduling. The first is that the rostering requirements of charge nurses and general nurses are different under hierarchical management. The second is that nurses are preferable for relative fair rather than absolute fair under hierarchical management. The model aims at allocating the required workload to meet the operational requirements, weekend rostering preferences, and relative fairness preferences. Two hybrid heuristic algorithms based on multiobjective grey wolf optimizer (MOGWO) and three corresponding single heuristic algorithms are employed to solve this problem. The experimental results based on real cases from the Third People’s Hospital, Panzhihua, China, show that MOGWO does not as good as it does on other engineering optimization. However, the hybrid algorithms based on MOGWO are better than corresponding single algorithms on generational distance (GD) and spacing (SP) of Pareto solutions. Furthermore, for relative fair rostering objective, NSGAII-MOGWO has more power to find the optimal solution in the dimension of relative fairness.
Highlights
Academic Editor: Wei Wang is paper studies a special scheduling problem under hierarchical management in nurse staff. is is a more complex rostering problem than traditional nurse scheduling. e first is that the rostering requirements of charge nurses and general nurses are different under hierarchical management. e second is that nurses are preferable for relative fair rather than absolute fair under hierarchical management. e model aims at allocating the required workload to meet the operational requirements, weekend rostering preferences, and relative fairness preferences
Two hybrid heuristic algorithms based on multiobjective grey wolf optimizer (MOGWO) and three corresponding single heuristic algorithms are employed to solve this problem. e experimental results based on real cases from the ird People’s Hospital, Panzhihua, China, show that MOGWO does not as good as it does on other engineering optimization
Management innovation of “hierarchical management” is another effective way to improve the utilization efficiency of nursing human resources. e hierarchical management of nurses is to classify nurses into different levels based on comprehensive consideration of their educational background, professional ranks, skills, and length of employment. e most common way of nurse hierarchical management is to divide nurses into three levels, namely, head nurse, charge nurse, and general nurse. e head nurse is responsible for the running of the nursing work of the whole department. e charge nurse is responsible for coordinating the nursing work in the responsible zone. e general nurse is responsible for the nursing treatment of some patients in the responsible zone
Summary
According to the premodeling structure proposed in this paper, we should grasp the following information: shift character, cycle character, demand character, and nurse character. The nurse rostering objectives of the studied hospital are mainly reflected in three aspects: (1) minimizing violations of soft constraints; (2) minimizing the fairness bias of nurse rostering at each hierarchy; and (3) maximizing the quality of weekend rostering. Objectives come from requirements and appeals of hospital managers and nurses for rosters. A feasible and reasonable nurse roster is subject to two types of constraints: hard and soft.
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