Tools built for
hard problems
Discrete rate simulation validated within 1% OEE. Find improvements your loss tree will never surface. AI agent grounded in your scenario.
Sketch a supply chain on the canvas, drop optimization on it (AMOS / SCG), run discrete-event simulation against the result. 10 demos against real sample data, with engine output visible inline.
Run any of four preset scenarios (single server, coffee shop, grocery checkout, call center), watch the queue form, and ask the on-page agent to interpret the result. Pairs with the public MCP for use inside Claude.
8 distribution types, Quick Start solver, interrupt designer. Turn historian data into simulation-ready parameters. AI agent for theory + interpretation.
Candidate facility locations from your own customer and demand data, in minutes, not months.
QSimHealth
Run your emergency department's numbers, compare staffing scenarios, see the wait-time and cost tradeoff. Developed in conjunction with the University of Tennessee Physician Executive MBA program.
Simulator
Simulate decoupling strategies for flaked product lines in seconds, not months. Test off-ramp dryers, tote storage, and on-ramp reconstitution modules against real production data — validate improvement ideas before you implement.
Dynamic mass-energy balance for thermal processing. Expert coaching to operators in real-time. 13% energy reduction, 0 safety incidents.
Drop a $500 box on the plant floor, plug in Ethernet to the PLC, power on. Time-series data with dashboards — no cloud, no IT department.
Three demos (Fast-Slow Drain, Hamburger Duo, Valdez Tanker) of the rate-based paradigm Andrew Siprelle invented in 1990. Teaching agent quotes engine output verbatim. Companion textbook in progress.
