Hi-tech manufacturing uses sophisticated and capital intensive processes that require a highly skilled workforce. Fluctuating demand leads to either a shortage of skilled workers that causes unmet demand or an excess of skilled labor that causes worker idleness. This mismatch in the available and required skillsets is a source of potential loss for the organization. This thesis formulates an industry-motivated workforce planning and facility utilization problem as a two-stage stochastic recourse program that considers fluctuating demand over a long planning horizon and includes business and labor rules, e.g., hiring, firing, overtime, cross-training, and shift swapping, that govern the structure of the workforce. Solutions to this problem are computed using a scenario-based approach and indicate that the cost of workforce formation can be significantly reduced by using the recourse problem.
Library of Congress Subject Headings
Manpower planning--Mathematical models; Strategic planning--Mathematical models; Mathematical optimization; Stochastic processes--Mathematical models
Department, Program, or Center
Industrial and Systems Engineering (KGCOE)
Kulkarni, Anirudha, "Workforce planning and facility utilization using a two-stage stochastic recourse approach" (2013). Thesis. Rochester Institute of Technology. Accessed from
RIT – Main Campus