Workforce modeling
Workforce Modeling is the process by which the need (demand) for skilled workers at a particular time is matched with the availability and preference of skilled workers (supply). The resulting mathematical models can be used to perform sensitivity analysis and generate reports and schedules.
Workforce modeling is generally found in industries that have complex work rules, skilled or certified workers, medium to large teams of workers, and fluctuating demand. Some examples include healthcare, public safety, and retail.
A workforce modeling solution can also refer to software demonstrating the number of staff necessary to complete tasks according to workload volumes/output by the time of day, day of the week, or time of year.
Definition
The term can be differentiated from traditional staff scheduling. Staff scheduling is rooted in time management. Besides demand orientation, workforce modeling also incorporates the forecast of the workload and the required staff, the integration of workers into the scheduling process through interactivity, and analysis of the entire process.
Complexity of model
Many applications providing a workforce modeling solution use the linear programming approach to create the Workforce Model. Linear methods of achieving a schedule are generally based on assumptions that demand is based on a series of independent events, each with a consistent, predictable outcome. However, modeling the uncertainty and dependability of these events is a well-researched area. Modeling approaches such as system dynamics have also been employed in workforce modeling to address interdependencies and feedback loops within large organizations, such as NASA. Heuristics have also been applied to the problem, and metaheuristics have been identified as effective methods for generating complex scheduling solutions.
Workforce modeling solutions can be created using a software solution for demand-oriented workforce management.
Notes
Further reading
- Sterman JD. Business Dynamics: Systems Thinking and Modeling For a Complex World. Boston, Massachusetts: McGraw-Hill Publishers; 2000.
- Taleb NN. The Black Swan. New York, New York: Random House; 2007.
- West B, Griffin L. Biodynamics: Why the Wirewalker Doesn't Fall. Hoboken, New Jersey: John Wiley & Sons Inc; 2004.