ENGINEERING SUPPLY CHAIN MANAGEMENT FOR LOGISTICS
Concepts from optimization, stochastics, and statistics to model different problems in the context of logistics decision making. Application of engineering design principles in combination with mathematical modeling techniques to solve problems in supply chain design, planning, execution, and transportation.
Prerequisites & course information
Requisites: ( I SY E 210 , B M E 325 , MATH/STAT 310 , 410, STAT 312 , 324 , or 340 ) and ( I SY E 323 or I SY E/COMP SCI/E C E 524 ), graduate/professional standing, or member of Engineering Guest Students Repeatable for Credit: No Last Taught: Spring 2026 Learning Outcomes: 1. Explain common supply chain management terminology and concepts used in industry settings Audience: Undergraduate 2. Evaluate supply chain strategies and policies based on the two key drivers of supply chains: cost efficiency and responsiveness Audience: Undergraduate 3. Apply mathematical modeling of inventory management, transportation, and network design problems to real world settings Audience: Undergraduate 4. Design holistic supply chain strategies drawing from multiple mathematical models to successfully meet business goals Audience: Undergraduate Learning Outcomes: 1. Explain common supply chain management terminology and concepts used in industry settings Audience: Undergraduate 2. Evaluate supply chain strategies and policies based on the two key drivers of supply chains: cost efficiency and responsiveness Audience: Undergraduate 3. Apply mathematical modeling of inventory management, transportation, and network design problems to real world settings Audience: Undergraduate 4. Design holistic supply chain strategies drawing from multiple mathematical models to successfully meet business goals Audience: Undergraduate
Sources
- Course catalogue ↗2026-2027