Simio training — simulation model building session with production scheduling and logistics
HomeTrainingSimio Training
Training & consulting

Simio training from
engineers who use it daily

Beginner to advanced Simio courses delivered live — online or at your office. Taught by simulation engineers who build production scheduling and logistics models in Simio every week, not instructors who read from slides.

Since 2011
Simio German Team member — among the first European partners
Online
or on-site — live instruction, not pre-recorded videos
Custom
content tailored to your industry, data, and actual project

Why train with SimulateFirst?

There is no shortage of Simio documentation, videos, and self-study resources. What's harder to find is instruction from someone who has spent years building real production and logistics models — who can tell you not just what a feature does, but when to use it, when to avoid it, and how it behaves on large, data-connected models.

SimulateFirst has been a Simio German Team member since 2011. Our engineers use Simio daily on client projects in manufacturing, logistics, digital twin scheduling, and AGV optimisation. That practical experience is what we bring into every training session.

Our approach: every course is taught live with real model-building exercises. We don't show you a finished model — you build one from scratch during the session, asking questions as you go. This produces engineers who can actually work independently in Simio, not just follow tutorials.

Why Simio?

Simio is an object-oriented, agent-based simulator — every vehicle, machine, and entity is an autonomous object with its own logic and behaviour. This makes it particularly well suited to intralogistics: AGVs, stacker cranes, forklifts, and conveyors are modelled as independent agents that route themselves, react to conditions, and interact naturally, rather than as tokens passing through a flowchart.

Vehicles as first-class objects

AGVs, forklifts, ASRS cranes — all modelled with their own routing logic, priority rules, and charge/load behaviour. No workarounds needed.

Scheduling built in

Simio's Risk-Based Planning (RPS) combines simulation and production scheduling in one model — variable order intake, shift patterns, and capacity constraints included.

Experiments built in

Run parameter studies, scenario comparisons, and automated optimisation directly in Simio — without external scripts or add-on tools.

Course options

Beginner
2 days · Online or on-site

Introduction to Simio

No prior simulation experience required. Build your first complete Simio model from scratch — objects, processes, data tables, animation, and results analysis.

Simio interface and project structure
Standard library objects (Source, Server, Sink, Worker)
Processes, logic, and expressions
Running experiments and reading results
Scenario comparison and statistical output
3D animation and model validation
Book this course →
Advanced
2 days · Online or on-site

Advanced Simio & Digital Twin

For engineers already comfortable with Simio who want to build live digital twin models, connect to production databases, and implement advanced scheduling logic.

ERP and database integration
AGV modelling with the Simio vehicle framework
ASRS and warehouse logistics modelling
Live ERP/MES data connection and automation
Python and external API integration
Deployment and handover to production teams
Book this course →
Custom
Flexible duration · Online or on-site

Project-Specific Training

We use your actual model or project as the training vehicle. Fastest way to build practical Simio capability — participants learn directly on the work they'll be doing.

Built around your specific system and data
Covers only what's relevant to your project
Can include model review and expert feedback
Can be combined with consulting hours
Discuss your requirements →
Consulting
Hourly or day rate · Remote

Simio Expert Consulting

Already building a Simio model and stuck on a specific problem? Book consulting hours with a SimulateFirst engineer — model review, architecture advice, debugging, or performance optimisation.

Model architecture review
Debugging and performance issues
Database and ERP integration problems
Scheduling logic and RPS configuration
Book consulting hours →

What the standard 3-day course covers

The Production & Logistics course — our most popular — is structured as follows. Online delivery splits this across 6 × 3-hour sessions over two weeks, which we find more effective than three consecutive full days.

ModuleTopicsFormat
1 — FoundationsSimio interface, project structure, Standard Library objects, entity flow, basic processes and expressionsLecture + model build
2 — Data & logicRelational data tables, data-driven models, tokens, decision logic, conditional routing, worker assignmentsModel build + exercises
3 — ExperimentsReplication, warm-up periods, confidence intervals, scenario comparisons, Pivot Grid results analysisExercises + discussion
4 — Scheduling (RPS)Risk-based planning introduction, connecting to production orders, capacity constraints, probabilistic outputModel build
5 — Custom objectsBuilding custom objects and libraries, reusable model components, encapsulation, custom steps and eventsModel build + exercises
6 — Performance & reviewModel performance optimisation, reducing run time, large-scale simulation patterns. Participant model review and Q&A.Guided project work

Delivery formats

Online (live): conducted over video call in sessions of 2–3 hours. Participants share screens, build models alongside the instructor, and ask questions in real time. No travel cost or time. No minimum group size — works for individuals.

On-site (Europe): instructor travels to your office. Full-day sessions. Best for groups of 2–5 where shared learning and discussion add value. Includes a site visit component if relevant to the course content.

Language: courses are available in English, German, and Polish.

SimioEnglish / German / PolishOnline or on-site1–5 participantsCertificate of completion
Python + AI for Simio

Automate your Simio workflow with Python and AI

Simio's Python API lets you control the simulator from outside — loading models, setting parameters, triggering runs, and extracting results programmatically. Combined with AI code generation, this unlocks a completely different way of working: describe what you want the script to do, and AI writes the boilerplate.

In our advanced training courses, we cover exactly this: how to use Python with the Simio API, how to prompt AI effectively to generate working simulation scripts, and how to build batch runners that execute your entire scenario matrix overnight.

Read the AI & simulation guide →
Batch scenario automation
Write Python scripts that run 20 scenarios overnight, extract KPI tables, and produce comparison charts — all without manual interaction.
AI-generated Simio scripts
Use LLMs to scaffold Simio add-in code, generate custom step logic, and write data import/export routines — then learn to review and adapt the output.
Result post-processing
Automatically parse Simio output XML/CSV, build KPI dashboards in Python, and generate client-ready reports — without opening the GUI for each run.
FAQ

Common questions about Simio training

Simio is conceptually the closest modern equivalent to AutoMod. Both use autonomous entities, path-based vehicle logic, and agent-driven behaviour — so your team's mental model transfers well. The main adjustment is the object-oriented approach and C#-based step logic instead of AutoMod's scripting language. In our experience, engineers with AutoMod background get productive in Simio faster than those coming from process-flow tools like Plant Simulation. Our project-specific training can use your existing AutoMod model as a reference point to accelerate the transition.
Simio is a discrete-event simulator, so performance depends on the number of active events per time unit — not the total number of objects in the model. A container sitting in a rack generates no events and costs no compute time. What matters is how many containers, vehicles, and processes are simultaneously active. Models with hundreds of thousands of total entities but a few thousand simultaneously moving work well. For very high concurrent movement rates, modelling discipline matters: batching low-detail areas, aggregating peripheral zones, and using Simio's multi-threading capability (available from version 10 onwards) all help. We cover large-model performance strategies in our Advanced course.
No — our introduction course starts from scratch and assumes no prior simulation knowledge. It covers core Simio concepts, standard library objects, data tables, and a complete model build from end to end. If you have experience with other simulation tools, we can skip the fundamentals and focus on Simio-specific features from the start.
Both options are available. Online training is conducted live over video call in 2-hour sessions — typically spread over several days, which we find more effective than full-day blocks for retention. On-site training at your office is available throughout Europe. Remote delivery has no minimum group size and works well even for a single participant.
Yes — all courses can be customised. If you work in logistics, we focus on AGV modelling, ASRS, and WMS integration. If you're in manufacturing, we focus on production scheduling, digital twin connectivity, and ERP integration. For the project-specific course, we use your actual model as the training vehicle — participants learn directly on the work they'll be doing, which dramatically accelerates practical competence.
Yes — participants need access to Simio to build models during the course. If your team doesn't have licences yet, we can supply them as a Simio reseller. We can also advise on the right licence tier for your intended use (Simio Design, Team, or Enterprise) before the course begins.
Yes — all participants who complete the course receive a SimulateFirst certificate of completion. For the introduction and production courses, we can also help participants prepare for the official Simio certification if that's a goal.
Groups of 1–5 work best — small enough for everyone to get hands-on attention. For larger groups we recommend splitting into separate cohorts, which we can run on consecutive days to minimise travel cost for on-site delivery.
Book a course

Let's build your Simio capability

Tell us your team size, current experience level, what you're trying to model, and your preferred schedule. We'll propose the right course and send you a quote within 24 hours.

Response within 24 hours
Course content customised to your application
Online or on-site delivery
English, German or Polish

Germany — Dresden

Anton-Graff-Str. 24, D-01309
dresden@simulatefirst.com
+49 (0) 351 30906020

Poland — Wrocław

ul. Powstańców Śląskich 5, 53-332
polska@simulatefirst.com
+48 75 6406434

We respond within 24 hours · Quote provided before any commitment

By submitting, your data will be used solely to respond to your enquiry. Privacy policy.