Simio RPS Edition 2026 v20.290: Risk-based Planning & Scheduling Simulation Software

Simio RPS Edition 2026 v20.290 is a simulation-based planning and scheduling solution specifically designed for systems characterized by uncertainty, variability, and risk . Unlike traditional deterministic scheduling tools (e.g., spreadsheets, static Gantt charts), RPS employs discrete event simulation to model the stochastic nature of operations, providing a probabilistic view of system performance rather than a single “expected” outcome.

The RPS Edition is part of Simio’s product family, which includes:

  • Simio Standard Edition – General-purpose discrete event simulation

  • Simio RPS Edition – Risk-based planning and scheduling (this edition)

  • Simio Scheduling Edition – Deterministic scheduling with what-if analysis

  • Simio 3D Viewer – 3D visualization add-on

The RPS Edition focuses on helping users create schedules that are not just optimized but also resilient, by quantifying the potential impact of disruptions and providing actionable insights for risk mitigation.

???? Primary Users

This professional simulation software is designed for:

  • Operations Research Analysts & Supply Chain Professionals modeling complex systems to understand risk and optimize scheduling under uncertainty

  • Manufacturing & Production Planners developing robust production schedules that account for machine breakdowns, material delays, and demand variability

  • Logistics & Transportation Managers simulating port, rail, warehouse, and distribution operations to identify bottlenecks and improve throughput

  • Project Managers & Risk Analysts using risk-based scheduling to assess the probability of meeting milestones and budget targets

  • Healthcare Operations Managers optimizing patient flow, operating room scheduling, and resource allocation under uncertainty

⚡ Key Features & Capabilities

 

???? Risk-Based Planning & Scheduling (Core)

The defining feature of the RPS Edition is its focus on stochastic simulation for planning under uncertainty:

Capability Description
Probabilistic Inputs Define probability distributions for key variables (processing times, repair times, arrival rates, demand) rather than fixed values
Risk Quantification Output the probability of achieving specific goals (due dates, throughput levels, budget targets) rather than a single deterministic result
Stochastic Scheduling Automatically generate dynamic schedules that adapt to simulated real-time events (equipment failure, urgent order insertion, material delays)
Confidence Intervals Statistical analysis of simulation results to understand the range of possible outcomes

????️ Graphical Model Building

  • Object-Based Modeling – Intuitive drag-and-drop 3D object library (servers, conveyors, tanks, vehicles, workers, etc.)

  • Process Flow Logic – Build custom logic using flowcharts without programming (though advanced users can leverage C# scripting)

  • 2D & 3D Visualization – Animated models for validation and stakeholder communication

???? Analysis & Reporting

Output Type Description
Risk Profiles Visual representation of probability distributions for key performance indicators
Sensitivity Analysis Identify which input variables have the greatest impact on performance
Scenario Comparison Compare alternative schedules or policies under the same risk assumptions
Confidence Intervals Statistical bounds for performance metrics, quantifying uncertainty
Data Export Export results to Excel, databases, or external reporting tools

???? Integration & Data Management

  • ERP/MES Connectivity – Import and export schedules to/from ERP systems (SAP, Oracle) or spreadsheets

  • Database Support – Connect to SQL databases for real-time data integration

  • API Access – Programmatic control via .NET API for custom integrations

  • Smart Apps – Deploy simulation models as standalone applications for non-expert users

???? Supported Application Types

  • Production Scheduling – Job shops, flow shops, batch processes, assembly lines

  • Supply Chain Planning – Inventory management, distribution networks, multi-echelon systems

  • Healthcare Operations – Patient flow, operating room scheduling, emergency department staffing

  • Transportation & Logistics – Port operations, rail yards, warehouse material handling, fleet management

  • Project Management – Risk-based project scheduling (PERT/CPM extensions)

  • Mining & Natural Resources – Mine-to-mill scheduling, stockpile management, equipment allocation