the demand for nursing homes has grown as a result of the ageing of the population. "Multi-shift, high time-varying demand, hierarchical and collaborative" characterizes nursing practice. The number of nurses needed in a 24-hour period will vary greatly depending on the time of day; hierarchical means that different levels of nurses' abilities exist; collaborative means that different levels of employees collaborate to serve the elderly. Because of the high time-varying demand, the number of nurses needed in a 24-hour period will vary greatly. SDP and hierarchical staffing issues are the focus of our research, which includes the design of each shift's time frame to accommodate demand times and how to deploy hierarchical employees to the shifts. The two-stage technique will be used to tackle the issue. In the first step, we construct the shift schedule and calculate the number of employees required for each shift based on the characteristics of high timevarying demand. According to the restrictions of hierarchical coordination and collaboration, we calculate the number of employees required for each shift at each level in the second step. Different demand variations are studied and useful conclusions are made from the sensitivity analysis. Our findings may help nursing facilities cope with increased demands and personnel shortages by providing efficient decision-making tools and methodologies.