Models built for real decisions.
A sample of representative engagement types across emergency response, logistics, analytics, and industrial engineering. Client names and figures are illustrative where work is covered by confidentiality agreements — ask for references on request.
Ambulance deployment & response-time study
Built a discrete-event simulation of a regional EMS system to test unit placement and shift patterns against call-volume forecasts. Modeled mutual-aid coverage gaps under simultaneous high-priority calls and peak-hour demand.
Distribution network redesign
Modeled routing and inventory positioning across a multi-warehouse network to evaluate consolidation options. Quantified the service-level and cost trade-offs of each candidate network under variable demand and lead times.
Production line throughput analysis
Used discrete-event simulation to locate the true bottleneck on a multi-stage production line, testing buffer sizing and line-balancing changes before any physical rework was scheduled.
Demand forecasting & capacity planning
Built a forecasting and capacity-planning model to support staffing decisions across seasonal demand swings, giving leadership a defensible basis for headcount and scheduling changes.
Emergency operations center surge model
Simulated dispatch and call-taking capacity under mass-casualty and severe-weather surge conditions, identifying the staffing and mutual-aid thresholds where the current plan would fail.
Fleet sizing & routing study
Evaluated fleet size and dispatch rules against delivery-window commitments, balancing vehicle utilization against on-time performance across a full seasonal demand cycle.
Details above are representative of engagement scope and methodology. Client-specific figures, names, and data are shared only with permission — get in touch for references or a fuller case study relevant to your project.