Before changing schedules, expanding capacity, investing in new resources, or redesigning operations, understand the likely impact first. Simio helps organizations evaluate real-world constraints, test alternative scenarios, and predict operational outcomes before implementing change. For manufacturers, Simio Advanced Planning & Scheduling and Digital Twin Simulation are native to FactoryLogix and also available as standalone solutions.
Know the Outcome Before You Commit
Evaluate Decisions Before They Become Reality
Operational Simulation
Evaluate how processes, resources, and constraints interact under real-world operating conditions. Compare alternative scenarios, identify bottlenecks, and understand the impact of change before it affects operations.
Advanced Planning & Scheduling
Generate realistic production schedules that account for capacity, material availability, labor, equipment, and operational constraints, then quickly evaluate alternative planning scenarios as conditions change.
Virtual Factory Design
Evaluate new production lines, facility layouts, automation investments, and material flows before implementation to reduce project risk and improve operational performance.
Scenario Analysis
Compare multiple operating strategies side by side to understand tradeoffs, reduce uncertainty, and select the approach most likely to achieve business objectives.
Bottleneck Discovery
Find where constraints will form before they slow real production, using scenario runs instead of trial and error.
Capacity Planning
Balance demand, resources, and constraints more effectively.
Decisions Backed by a Model, Not a Guess
Spreadsheets can't account for variability. Simio runs your operation forward under real conditions, so you see the outcome first.
Model the impact of a new line or added shift before spending the capital to find out.
See how a demand spike or supply delay will move through the factory before it happens.
Get schedules ranked by delivery risk, not just sequence, so you know where to focus first.
The model updates from FactoryLogix, so it reflects real conditions, not last month's snapshot.
Certainty Before You Commit, Not Hope After You Don't
Model changes, evaluate alternatives, and understand operational risk before decisions are implemented. Simio helps organizations replace assumptions with evidence by testing how operations are likely to perform before committing resources, schedules, or capital.
Understand the Impact Before You Make the Change
Evaluate how operational changes are likely to affect throughput, resource utilization, bottlenecks, and performance before they are implemented.
- Evaluate real-world operating conditions
- Identify bottlenecks before they occur
- Compare multiple operational scenarios
- Reduce implementation risk
- Improve confidence in operational decisions
Compare the Options Before You Commit to One
Run a shift change, new equipment, or a demand shift as parallel scenarios, and compare the results side by side before deciding.
- Multiple scenarios evaluated in parallel
- Side-by-side comparison of outcomes
- Capacity and labor impact modeled in advance
- Equipment and line changes tested virtually first
- Faster decisions grounded in evidence
A Schedule That Reflects How the Factory Really Runs
Generate schedules that account for capacity, material availability, and resource constraints, instead of a plan that only works on paper.
- Constraint-based schedule generation
- Bottleneck identification before disruption
- Multiple planning scenarios evaluated before committing
- Continuous adaptation as conditions change
- Direct handoff to execution
Find Out Which Orders Are at Risk, Weeks Out
See delivery risk by order, days or weeks ahead, so there's time to intervene instead of explaining a miss after it happens.
- Risk flagged by order, not just by line
- Buffer and capacity projections, days or weeks out
- Shared read on delivery confidence for ops and sales
- Root cause identified before the miss
- Fewer surprises at the ship date
Simulation That Feeds Execution, and Execution That Feeds It Back
A validated schedule passes to FactoryLogix for execution, and real production results flow back into the model, so every future scenario starts from what's actually happening.
- Direct handoff from model to execution
- Real-time execution data feeds back into the model
- Schedules adjust as actual events occur
- One continuous loop instead of disconnected tools
- Works standalone or alongside FactoryLogix
Fewer late shipments
Faster scenarios
Fewer bottlenecks
Better on-time delivery
See the Outcome Before You Commit
See how Simio models your operations, evaluates alternative scenarios, and predicts likely outcomes before decisions are implemented.