Workforce modeling: Difference between revisions

Revision as of 15:22, 15 June 2025

Revision as of 16:26, 15 June 2025

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{{Use mdy dates|date=October 2024}}{{peacock|date=January 2014}}

'''Workforce modeling''' is the process of aligning the [[demand]] for skilled labor with the availability and preferences of [[skilled workers]] ([[Supply and demand|supply]]). It uses [[Mathematical model|mathematical models]] to support tasks such as [[sensitivity analysis]], scheduling, and workload forecasting.

'''Workforce modeling''' is the process of estimating and aligning labor [[demand]]<ref>Smith, J. (2020). ''Workforce Demand Trends in the 21st Century''. Labor Economics Journal.</ref> with the availability and characteristics of the [[Skilled workers|workforce]]<ref>Jones, M. (2018). ''Skilled Labor and Occupational Shifts''. Human Resource Quarterly.</ref>. It often involves the use of [[mathematical models]]<ref>Lee, A. & Chen, Y. (2015). ''Mathematical Models in Human Resource Planning''. Operations Research Review.</ref> and computational methods to support functions such as workload forecasting, scheduling, and [[sensitivity analysis]]<ref>Nguyen, T. (2017). ''Sensitivity Analysis in Workforce Simulations''. Journal of Applied Systems Modeling.</ref>. This approach is applied in sectors with fluctuating demand and labor constraints, including [[healthcare]], [[public safety]]<ref>White, K. (2019). ''Workforce Management in Public Safety Agencies''. Public Administration Review.</ref>, and [[retail]]. In some cases, workforce modeling incorporates software tools designed to project staffing needs based on expected workload patterns, which may vary by time of day, week, or season.

This approach is commonly applied in industries with complex labor regulations, certified workers, and varying levels of demand, including healthcare, [[Public security|public safety]], and retail. Workforce modeling solutions often include software tools that help determine staffing needs based on workload volume across different periods, such as times of day, days of the week, or seasonal cycles.

==Definition==