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Workforce System Simulations

Workforce environments are complex systems with many inputs, outputs, and internal and external influences which make it difficult to analyze and forecast using conventional methods.   Our innovative process (patent pending) involves creating mathematical models of workforce systems.  Process

Our workforce system models facilitate testing assumptions and variables using dynamic simulations that replicate real world situations.  This enables evaluation of complex workforce conditions and prediction of the affects of human resources strategies and management practices.

Models are developed for each unique workforce system being evaluated.  Elements modeled include staffing “levels”, constraints on “flow” such as promotion time requirements, worker certification requirements, duration of training periods, and the need to replace experienced members who retire.  The method allows simulating multiple “what if” scenarios to determine optimal human resource strategies.  Models can range in scope from workgroups within organizations to entire industries.

Examples of information that can be derived from applying the method to workforce systems include:

  • Project future staffing levels - determine the number of workforce members within each unique skill set and compare to desired and minimum allowable staffing levels.
  • Determine risks to the system - where are there likely to be shortages of high demand skill sets or in functions critical to the business or industry.
  • Optimize staffing plans - determine when to hire new employees, how many to hire, and the optimal ratio of entry level to experienced recruiting.
  • Evaluate benefits of retention plans - identify groups to target for retention strategies to reduce attrition, and how changes in attrition impact the overall system.