Simio Process Digital Twin

Organization
Simio · United States
Solution Type
Platform
Collaboration
Licensing, Business Collaboration (Joint Venture)

1. Technology overview

Simio is a simulation software company based in Sewickley, Pennsylvania, founded by Dr. C. Dennis Pegden, whose team released its first commercial discrete event simulation product more than 50 years ago. The current platform was released in 2008 and helps companies test operational changes on a virtual replica before making them on the shop floor.

The Process Digital Twin is a data-driven discrete event model fed by sensors, IoT devices, ERP, MES and maintenance systems, which recalibrates as routings, BOMs, labor and maintenance schedules change. It produces stochastic what-if results and capacity- and material-aware plans and schedules, with object-oriented modeling, industry templates, Python and neural network support, and 3D, GIS and VR views. Users include manufacturers, logistics operators, airports and healthcare providers.

2. Highlighted features & specifications

  • Discrete event simulation: object-oriented, data-generated models with industry templates.
  • Live data synchronization: feeds from IoT, ERP, MES, CMMS, historians and spreadsheets keep the model current.
  • Planning and scheduling: APS and DDMRP modules create feasible, constraint-aware schedules.
  • Stochastic what-if analysis: scenarios return probabilistic outcomes rather than single-point estimates.
  • AI and Python: trains and embeds neural networks, imports ONNX models and runs optimization.
  • Visualization: 3D, GIS and VR views plus Gantt charts, dashboards and reports.

3. Potential application

A garment or footwear exporter in Vietnam could test line balancing and staffing for new orders. A distribution center could simulate picking and dock operations before expanding. An electronics plant could generate finite-capacity schedules that account for machine and material constraints.

4. Benefits

Changes to lines, staffing, layouts or inventory policies can be tested virtually without disrupting production. Simio cites typical results of 15–30% higher throughput, 10–20% lower operating costs and 20–40% less planning time. Schedules respect real capacity and material limits, and the model captures expert knowledge that would otherwise leave with retiring staff.

6. Other information

Simio is headquartered at 504 Beaver Street, Sewickley, Pennsylvania, USA. Its founder is Dr. C. Dennis Pegden. The platform is taught in hundreds of universities with free academic licensing, and the company works through a Global Partner Network. Version 20 was released in June 2026.

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