Analytics and AnyLogic

3-Day Intensive Course for Analysts, Engineers & Business Planners
3 Intense Days
7 Hours per Day (Split into two 3.5-hour sessions)

Learning Path Visual

From raw data to dynamic system simulation:

Day 1: Foundations of Simulation Modeling & AnyLogic Environment
Learn the basics of system dynamics, discrete event, and agent-based modeling. Get hands-on with the AnyLogic interface, navigation, project setup, and importing real-world data into models.

Day 2: Building Dynamic Models and Integrating Analytics
Design models for logistics, manufacturing, supply chain, or service systems. Use input data (CSV, Excel, APIs) to drive simulation and generate performance metrics. Learn to structure models for experimentation.

Day 3: Scenario Testing, Optimization & Business Decision Support
Simulate what-if scenarios, run Monte Carlo experiments, and optimize system behavior using AnyLogic tools. Learn how to use dashboards, graphs, and output reports to communicate insights for business decisions.

Course Overview

This course equips you with the essential skills to build, run, and analyze simulations using AnyLogic, a powerful tool for modeling complex business systems. Whether you’re in logistics, manufacturing, healthcare, or operations, you’ll learn how to use simulation and analytics to make better, evidence-based decisions.

You’ll learn how to:

• Use system dynamics, discrete event, and agent-based modeling frameworks

• Build models in AnyLogic using visual blocks and logic flows

• Import and clean real-world data for simulation inputs

• Analyze key outputs like bottlenecks, wait times, and resource use

• Run optimization and sensitivity analyses for strategic decisions

• Present simulation insights with interactive dashboards

What’s Inside Each Day

Day 1 — Foundations of Simulation Modeling & AnyLogic Environment

• Introduction to simulation: system dynamics, discrete event, agent-based

• Real-world use cases: supply chain, hospital flow, inventory systems

• Navigating AnyLogic: projects, libraries, canvas, properties

• Building your first model: queues, flows, and resources

• Workshop: Create a basic customer service simulation
  Toolkit: AnyLogic setup guide + model planner template
  Focus: Model Logic • Tool Proficiency • System Thinking

Day 2 — Building Dynamic Models and Integrating Analytics

• Structuring modular models for reuse and experimentation

• Data import: Excel, CSV, APIs, and time-series inputs

• Tracking KPIs: throughput, wait time, resource load, utilization

• Using built-in charts and statistics

• Workshop: Model a warehouse or service system with dynamic inputs
  Toolkit: KPI tracker + input data template
  Focus: Analytics Integration • Model Design • Data-Driven Inputs

Day 3 — Scenario Testing, Optimization & Business Decision Support

• Setting up experiments: what-if analysis, Monte Carlo, parameter variation

• Finding optimal strategies using built-in optimization tools

• Exporting reports and visualizing model results

• Using models to support executive decision-making

• Workshop: Final simulation + scenario pitch with dashboard insights
  Toolkit: Experiment sheet + reporting dashboard builder
  Focus: Scenario Planning • Optimization • Communication

Course Goals

By the end of this course, you will be able to:

• Design and build simulation models using AnyLogic

• Use analytics to make simulations relevant to business goals

• Run and analyze experiments to test policies and plans

• Communicate results through charts, dashboards, and insights

• Apply simulation to solve real-world operational or strategic problems

Who Should Take This Course?

This course is for IT professionals, managers, and analysts who need to understand and manage cybersecurity risks in a business and compliance context.

Class Reference: HIRE/ENG
Form Updated on: 06/19/2025 (Version 1)
Last Modified on: 06/19/2025

Program Note
Participants will receive downloadable templates for interview planning, competency maps, scorecards, behavioral questions, and a complete post-interview decision-making toolkit.

Brief pédagogique en français

Analytics et AnyLogic est présenté ici en version synthétique française afin que les équipes pédagogiques puissent évaluer rapidement l'intérêt du module.

Le module s'inscrit dans la famille Analytics et intelligence artificielle. Il peut être adapté au calendrier de l'école, au niveau Tous niveaux, au volume horaire 21 h et aux modalités d'évaluation prévues.

Objectif d'intervention

Ce module vise à relier les outils data, IA et automatisation à des usages professionnels concrets.

Livrables et activités possibles

• cas d'usage, prompts, scénarios d'automatisation ou analyses data
• évaluation critique des résultats, limites et risques
• communication claire des choix techniques et business

Adaptation école

LC peut ajuster le déroulé, la langue d'enseignement, les supports, les exercices et les critères d'évaluation selon la promotion, le diplôme, le niveau d'autonomie attendu et les contraintes de planning.

Pour une version détaillée du syllabus en français, LC confirme le programme final après cadrage du niveau, des heures, du calendrier et des livrables attendus.