Supply Chain Management

SCM 4385

Advanced Modeling and Simulation

Analytics Trends

Course Overview

SCM 4385 equips students with advanced analytical and modeling capabilities essential for solving complex supply chain challenges in today’s data-driven business environment. Through a combination of simulation, optimization, and forecasting techniques, students learn to design, evaluate, and improve supply chain systems using cutting-edge software and programming tools. The course emphasizes both technical proficiency and strategic insight, preparing students to lead in roles that demand precision, innovation, and cross-functional collaboration.

Course Purpose

This course is designed to develop the next generation of supply chain professionals who can translate data into actionable insights. Students will build and apply advanced models to support decision-making in areas such as inventory planning, demand forecasting, and network optimization. Emphasis is placed on developing a structured problem-solving mindset, communicating analytical findings effectively, and using technology to drive business performance.

Learning Objectives

Upon successful completion of this course, students will be able to:

• Construct and interpret advanced simulation and optimization models to address real-world supply chain problems.
• Apply forecasting techniques and regression analysis to support demand planning and strategic decision-making.
• Use data visualization and storytelling to communicate complex analytical results with clarity and impact.
• Evaluate trade-offs in supply chain design using scenario analysis and sensitivity testing.
• Integrate business assumptions and constraints into mathematical models to support robust decision-making.
• Understand the connection between supply chain management decisions and corporate financial reports such as the Income Statement, Balance Sheet, and Statement of Cash Flows.
• Utilize industry-standard software and programming languages to build scalable, repeatable solutions.

Selection of Topics Covered

• Data Visualization and Business Storytelling
• Advanced Multiple Regression and Time Series Forecasting
• Problem Structuring and Modeling Methodologies
• Linear, Integer, and Nonlinear Optimization
• Simulation Modeling for Supply Chain Design
• Inventory Planning and Network Optimization
• Scenario Analysis and Sensitivity Testing
• Software Tools: Python, R, Lingo, Excel Solver, and Simulation Platforms

Course Pedagogy and Experiential Activities

SCM 4385 is structured around a series of immersive, hands-on learning experiences. Students engage in:

• Progressive practice problem sets that build technical fluency and reinforce core concepts.
• Three major business modeling projects, each focused on solving a complex supply chain challenge using real or simulated data.
• Interactive labs and workshops using industry-relevant software tools.
• Collaborative team assignments that simulate professional consulting environments and encourage peer learning.
• Case-based discussions that connect analytical techniques to strategic business outcomes.

Course Format and Assessment

Student performance is evaluated through a combination of individual and team-based deliverables that emphasize both technical accuracy and business relevance. Assessments include:

• Applied modeling projects that demonstrate mastery of simulation and optimization techniques.
• Practice sets and quizzes that reinforce analytical foundations.
• Exams that assess conceptual understanding and problem-solving agility.
• Active participation in experiential learning activities and peer collaboration.