Simulation of Supply Chain Management, 5 cr - COR009AS2AE
Course unit language
English
Teachers
Katri Heikkinen
Upcoming implementations
No upcoming implementations yet.
Current implementations
No ongoing implementations yet.
Past implementations
No past implementations yet.
Learning objectives
After having completed this course, the student:
• Is able to explain the role of simulation in analyzing and improving supply chain performance.
• Is able to apply simulation tools to model supply chain processes.
• Is able to interpret simulation results to support data-driven decision-making in supply chain operations.
• Is able to evaluate alternative supply chain strategies through simulation scenarios.
• Is able to present simulation-based findings clearly to both technical and non-technical stakeholders.
Contents
• Supply chain dynamics
• Simulation in operations management
• Simulation tools
• Scenario analysis and experimentation
• Inventory and logistics simulation
• Performance measurement in supply chains
Implementation methods, Demonstration and Work&Study
Contact/Contact Blended
Descriptions of implementation methods can be found in Haaga-Helia's website: https://www.haaga-helia.fi/en/implementation-types. You can complete the course unit by demonstrating or by Work&Study even if the course unit doesn't have DEMO or WORKSTUDY implementations. More information about recognition of learning at Haaga-Helia's website: https://www.haaga-helia.fi/en/career-planning/recognition-learning.
Learning materials
Selected academic articles, simulation software manuals, case studies, and instructor-provided materials via Moodle.
Intro
Are you ready to see supply chains in action—before any real-world decisions are made? This course invites you to dive into simulation as a powerful tool for visualizing, testing, and improving complex supply chain systems. Whether you're an engineer, analyst, or business strategist, you'll benefit from learning how to model supply chain operations and run experiments that uncover hidden bottlenecks and opportunities. You'll gain practical skills with industry-relevant simulation tools, helping you to make smarter, evidence-based decisions. This course is ideal for curious and analytical students who want to combine technical modeling with real-world supply chain insight. If you're looking for hands-on, future-oriented skills that employers value, this is the course for you.
Starting level and linkage with other courses
Before completing this course, the student must have completed the course Principles of Logistics and Supply Chain Management or otherwise acquired equivalent competence.
Assessment criteria
Assessment criteria - grade 1
When the implementation type of the course is CONTACT, ONLINE or BLENDED it is required that the student is present during those teaching hours that are marked in the study schedule. If you are absent more than 25 %, your grade will be lowered by one. If you are absent more than 50 %, the course is failed.
The student participates in the simulation games and is able to follow instructions and make basic decisions. The student demonstrates a limited ability to interpret the results or connect them to supply chain principles.
Assessment criteria - grade 3
The student actively participates in simulation games, makes informed decisions during gameplay, and reflects on outcomes with moderate accuracy. The student demonstrates the ability to evaluate supply chain scenarios, identify challenges and explain how supply chain decisions influenced the simulation performance. The student interprets results correctly and demonstrates moderate ability to link simulation outcomes to practical supply chain decisions.
Assessment criteria - grade 5
The student engages critically with simulation gameplay, consistently makes strategic decisions aligned with supply chain objectives, and provides in-depth analysis of the outcomes with actionable insights into supply chain performance. The student is able to evaluate different decision paths, explain their impact on performance, and communicate insights clearly and persuasively with a data-driven mindset. Results are interpreted with depth, and presentations are clear, structured, and suitable for professional decision-making contexts.