This track focuses on the development and application of mathematical models to optimize supply chain processes. Participants will explore various modeling techniques that enhance decision-making in supply chain management.

This session aims to delve into advanced optimization techniques that drive efficiency in supply chains. Topics will include linear programming, mixed-integer programming, and heuristic methods.

This track examines the principles of network design in logistics and its impact on supply chain performance. Participants will discuss strategies for optimizing transportation routes and facility locations.

This session will cover innovative approaches to inventory management that enhance responsiveness and reduce costs. Emphasis will be placed on techniques such as just-in-time inventory and safety stock optimization.

This track focuses on transportation planning methodologies that aim to minimize costs while maximizing service levels. Participants will analyze case studies and best practices in transportation logistics.

This session explores the use of simulation modeling as a tool for analyzing complex supply chain systems. Attendees will learn how to implement simulation techniques to evaluate performance and identify bottlenecks.