Optimizing workforce size in private nursery schools: A data-driven approach

Abstract

This study presents a dynamic workforce size model designed for private nursery schools, aiming to optimize staffing levels in alignment with institutional goals and operational efficiency. By addressing key factors such as enrolment trends, budget constraints, and faculty to-student ratios, the model offers a data-driven approach to workforce planning. Computational experiments conducted on real-world scenarios reveal that maintaining a minimum workforce of 72 employees ensures service stability while balancing financial considerations. Strategic adjustments, such as periodic hiring or staff reductions, are shown to
minimize costs without compromising educational quality. The model's adaptability allows institutions to respond effectively to fluctuating demands, ensuring optimal faculty-to-student ratios and fostering stakeholder engagement. These findings underscore the critical role of systematic workforce planning in enhancing institutional sustainability, operational efficiency,
and educational outcomes. The study contributes to existing literature by integrating practical methodologies with strategic insights, providing a robust framework for private school administrators to navigate workforce challenges effectively.