The next session of SCM.275x begins October 30, 2024.
Supply Chain Systems Planning and the Design of Supply Chain Networks are critical pillars of strategic supply chain management and essential sources of competitive advantage for organizations. In today’s complex business environment, companies must make strategic decisions that balance multiple objectives, such as cost, service levels, and sustainability. To address these challenges, this course is designed to equip learners with practical tools and experience in applying Supply Chain Design models, enabling them to make informed, balanced decisions.
Focusing on real-world applications, the course begins with foundational network models, such as transportation, transshipment, and facility location problems. As you progress, you will delve into more complex networks that involve multiple tiers of facilities and multimodal transportation. Additionally, the course covers how to integrate revenue and inventory considerations into supply chain design models, while also equipping you with the analytical skills needed to balance competing objectives effectively.
To enhance learning, the course combines video lectures with practical Python exercises, guiding you through the implementation of quantitative models. No prior knowledge of Python is required, as the course provides a comprehensive introduction to all necessary concepts. You will also have the opportunity to explore interactive visualization tools developed by the MIT CTL Computational and Visual Education (CAVE) Lab, gaining hands-on experience that bridges theoretical knowledge with real-world applications. This approach, aligned with MIT’s "learning by doing" philosophy, ensures that you not only grasp the concepts but can also apply them effectively in practice.