Using Time Series Models for Sustainable Workforce Planning

Nowadays, Workforce Planning (WP) is a hot topic of interest if large state organizations. WP models are usually predictive (, econometric) time series models which aim to include various dynamic inputs to predict the availability of workforce. This analysis can be more extended by applying sensitivity analysis that assists the policy makers for better decision making in policy development.

This project aims to study and develop a WP model in a large scale organization.