An organization aims to project its internal workforce availability for future operational periods by modeling historical movement rates across internal promotions, lateral transfers, demotions, and exit turnovers. Which quantitative human resource forecasting technique is best suited for this task? 

In Human Resource Planning (HRP), forecasting internal supply requires tracking how personnel move into, through, and out of various organizational job classifications over time. Markov analysis (or transition probability matrix modeling) is a quantitative technique used to estimate the internal supply of labor. It utilizes historical transition probabilities—such as past percentages of employees promoted, demoted, transferred, retained, or separated—to project the probable number of employees who will be available in specific job roles during future periods.