Engineering System Modeling and Simulation

Course Type：Compulsory Course

Credit Hours：32                                   Credits：2

Target Audience: Master's students in Engineering Management

1. Course Description

Engineering System Modeling and Simulation is a core course for graduate students in Physical Engineering and Management. This course introduces fundamental theories, methods, and tools for modeling and simulating logistics systems, including supply chain networks, transportation systems, warehousing, and inventory management. Students will learn how to apply mathematical models, discrete-event simulation, and computer-aided tools (e.g., Arena, AnyLogic) to analyze and optimize logistics processes. The course integrates theoretical knowledge with real-world case studies to enhance problem-solving skills in complex logistics environments.

2. Learning Outcomes

By the end of the course, students will:

l Master key concepts in logistics system modeling, such as queuing theory, system dynamics, and agent-based modeling.

l Develop proficiency in simulation software to design, test, and improve logistics systems.

l Gain the ability to evaluate system performance metrics (e.g., efficiency, cost, throughput) and propose data-driven optimization strategies.

l Apply interdisciplinary approaches combining engineering, operations research, and management principles to address logistics challenges.

3. Teaching Methods

The course employs a blended approach:

l Lectures to explain theoretical frameworks and methodologies.

l Hands-on Labs for simulation software training and model implementation.

l Case Studies & Group Projects to tackle real logistics problems collaboratively.

l Guest Lectures by industry experts to bridge academic knowledge and practical applications

4. Assessment Methods

Final Exam (Open Book): 70%

Regular Performance (30%): Attendance and simulations work.