LOGISTICS SYSTEMS DESIGN
Practical methods for the planning, design and evaluation of complex logistics and distribution systems. Modeling techniques and solution approaches that reduce cumbersome details of logistics systems into models with a manageable number of parameters and decision variables. It shows how the solutions to these models are interpreted into optimal rules that guide the operation, design or planning process. Practical methods for the planning, design and evaluation of complex logistics and distribution systems. Modeling techniques and solution approaches that reduce cumbersome details of logistics systems into models with a manageable number of parameters and decision variables. It shows how the solutions to these models are interpreted into optimal rules that guide the operation, design or planning process. Builds on knowledge of introductory programming such as Python, Matlab, or R.
Prerequisites & course information
Requisites: ( I SY E 323 or E C E/COMP SCI/I SY E 524 ) and ( I SY E 210 , E C E 331 , MATH/STAT 310 , STAT 312 , 324 , or 340 ), graduate/professional standing, or member of Engineering Guest Students Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Learning Outcomes: 1. Identify decision problems for typical logistics systems Audience: Both Grad & Undergrad 2. Establish optimization models for typical logistics systems Audience: Both Grad & Undergrad 3. Use multiple methods to solve logistics system models Audience: Both Grad & Undergrad 4. Explain the insights of solutions and apply them in realistic situations Audience: Graduate Learning Outcomes: 1. Identify decision problems for typical logistics systems Audience: Both Grad & Undergrad 2. Establish optimization models for typical logistics systems Audience: Both Grad & Undergrad 3. Use multiple methods to solve logistics system models Audience: Both Grad & Undergrad 4. Explain the insights of solutions and apply them in realistic situations Audience: Graduate
Sources
- Course catalogue ↗2026-2027