DYNAMIC SIMULATION OF SUPPLY CHAIN & LOGISTICS
Using Simulation Models to Optimize Performance, Reduce Risks, and Improve Decision-Making Across the Supply Chain
Course Schedule
| Date | Venue | Fees (Face-to-Face) |
|---|---|---|
| 12 – 16 May 2025 | Kuala Lumpur, Malaysia | USD 3495 per delegate |
Course Introduction
In today’s complex and fast-paced global environment, supply chains must be agile, efficient, and resilient. Traditional planning methods often fail to capture real-world variability, making dynamic simulation an essential tool for modeling, testing, and improving supply chain strategies.
This advanced 5-day course equips supply chain professionals with the skills to use dynamic simulation tools to visualize operations, test scenarios, and optimize logistics networks. Participants will learn how to build and analyze simulation models, assess bottlenecks, and make data-driven decisions that improve service levels, reduce costs, and mitigate risks.
Course Objectives
By the end of this course, participants will be able to:
• Understand the principles of dynamic simulation and system behavior modeling
• Build supply chain simulation models using industry-standard software
• Analyze supply chain performance under different scenarios and disruptions
• Identify inefficiencies, bottlenecks, and capacity constraints
• Use simulation to support strategic and tactical supply chain decisions
Key Benefits of Attending
• Gain hands-on experience in building and interpreting supply chain simulations
• Visualize how small changes affect overall supply chain dynamics
• Make smarter decisions by testing “what-if” scenarios before implementation
• Reduce costs, improve responsiveness, and enhance risk preparedness
• Apply simulation techniques in real business environments
Intended Audience
This program is designed for:
• Supply chain managers and analysts
• Logistics and distribution planners
• Operations research professionals
• Process improvement and systems engineers
• Anyone involved in forecasting, inventory control, or logistics modeling
Individual Benefits
Key competencies that will be developed include:
• Proficiency in dynamic simulation software and logic
• Understanding system variability and real-time decision modeling
• Capability to evaluate supply chain KPIs using simulation results
• Ability to test alternative designs, policies, and strategies
• Enhanced skillset in visual analytics and performance reporting
Organization Benefits
Upon completing the training course, participants will demonstrate:
• More resilient and responsive supply chain operations
• Reduction in stockouts, delays, and excess inventory
• Better strategic planning through scenario testing and optimization
• Improved alignment of logistics with business goals
• Increased ROI from supply chain process improvements
Instructional Methdology
The course follows a blended learning approach combining theory with practice:
• Simulation Briefings – Core principles of system dynamics and modeling
• Case Studies – Real-life logistics simulations and success stories
• Hands-On Labs – Build simulation models using supply chain datasets
• Scenario Testing Workshops – Evaluate multiple response strategies
• Tools & Templates – Software tutorials, model templates, reporting dashboards
Course Outline
Training Hours: 7:30 AM – 3:30 PM
Daily Format: 3–4 Learning Modules | Coffee Breaks: 09:30 & 11:15 | Lunch Buffet: 01:00 – 02:00
Day 1: Simulation Fundamentals in Supply Chains
Module 1: Introduction to Dynamic Simulation (07:30 – 09:30)
• System thinking and variability in supply chains
• Benefits of simulation vs spreadsheet models
• Key simulation platforms (AnyLogic, Arena, Simio, etc.)
Module 2: Elements of a Simulation Model (09:45 – 11:15)
• Entities, flows, events, and logic
• Building blocks of supply chain systems
• Overview of modeling interfaces and parameters
Module 3: Visualizing Supply Chain Behavior (11:30 – 01:00)
• Understanding queues, wait times, and throughput
• Modeling delays, batch processes, and resource constraints
• Time-based vs event-based simulation
Module 4: Workshop – Build a Simple Inventory Flow Model (02:00 – 03:30)
• Use simulation software to replicate warehouse stock flow
Day 2: Simulation of Inventory and Distribution Networks
Module 5: Inventory Policy Modeling (07:30 – 09:30)
• Order quantity (EOQ), reorder points, safety stock
• Modeling stockouts and replenishment delays
• Visualizing reorder cycles in dynamic environments
Module 6: Demand Variability and Forecasting (09:45 – 11:15)
• Random demand generation
• Impact of demand uncertainty on system performance
• Scenario comparison: forecast-based vs actual-based
Module 7: Distribution Logistics and Fleet Simulation (11:30 – 01:00)
• Modeling transportation nodes and delivery routes
• Fleet constraints, service levels, and delays
• Multi-echelon logistics network design
Module 8: Workshop – Simulate a Regional Distribution System (02:00 – 03:30)
• Create a multi-site inventory and transport simulation
Day 3: Bottlenecks, Constraints, and Risk Scenarios
Module 9: Bottleneck Identification and Analysis (07:30 – 09:30)
• Throughput capacity and utilization metrics
• Flow interruptions and process delays
• Optimizing choke points
Module 10: Capacity Planning and Constraints (09:45 – 11:15)
• Modeling labor, equipment, and time constraints
• Capacity buffering and shift scheduling
• Trade-offs in capacity expansion
Module 11: Risk and Disruption Scenarios (11:30 – 01:00)
• Simulating supply chain shocks (e.g., strikes, port delays)
• Impact of lead time variability
• Business continuity planning with simulation
Module 12: Workshop – Build a Risk Response Simulation (02:00 – 03:30)
• Model alternate routing and supplier disruption recovery
Day 4: Performance Evaluation and Optimization
Module 13: KPI Monitoring and Output Analysis (07:30 – 09:30)
• Service level, lead time, fill rate, cost metrics
• Visualization with graphs and dashboards
• Sensitivity analysis for key inputs
Module 14: Simulation-Based Optimization (09:45 – 11:15)
• Design of experiments (DoE) and parameter testing
• Trade-off analysis and performance trade space
• Using simulation to guide strategic investment
Module 15: AI and Machine Learning in Simulation (11:30 – 01:00)
• Overview of intelligent simulation
• Data integration and predictive modeling
• Future trends in digital twins
Module 16: Workshop – Optimize a Logistics Scenario (02:00 – 03:30)
• Tune a working model to maximize service at minimal cost
Day 5: Final Project and Strategic Applications
Module 17: Integrating Simulation into Decision-Making (07:30 – 09:30)
• Presenting results to leadership and stakeholders
• Simulation as a strategic planning tool
• Linking to S&OP and supply chain strategy
Module 18: Simulation Governance and Project Setup (09:45 – 11:15)
• Best practices for data, documentation, and maintenance
• Model validation and verification
• Building internal simulation capability
Module 19: Final Group Project & Presentations (11:30 – 01:00)
• Teams present live simulation models and insights
• Instructor feedback and scoring
Module 20: Wrap-Up, Evaluation & Certification (02:00 – 03:30)
• Course review and open discussion
• Certificates and individual feedback
Certification
Participants will receive a Certificate of Completion in Dynamic Simulation of Supply Chain & Logistics, validating their skills in building and applying simulation models to evaluate and improve supply chain performance in real-world scenarios.