Logistics Systems Design
LOGISTICS SYSTEMS DESIGN covers practical methods for planning, designing, and evaluating complex logistics and distribution systems using modeling techniques.
Summary
What you’ll be able to do
Identify decision problems for typical logistics systems
Establish optimization models for typical logistics systems
Use multiple methods to solve logistics system models
Explain the insights of solutions and apply them in realistic situations
Source: UW Guide
Grade history
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Prerequisites
Course map(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
- take one
- take one
- graduate/professional standing
- member of Engineering Guest Students
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Prerequisite text tree
- Any of
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- graduate/professional standing
- member of Engineering Guest Students
Professors
Spring 2027No instructors recorded for this selection.
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Calendar & sections
Spring 2027Schedule loads here as you scroll.
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Student experience
the class
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.
difficulty & workload
No workload feedback recorded.
Topics
- Planning, design, and evaluation of logistics and distribution systems
- Modeling techniques and solution approaches
- Interpreting solutions into operational rules
Skills
- Identifying decision problems in logistics systems
- Establishing optimization models for logistics systems
- Using multiple methods to solve logistics system models
- Explaining and applying model solution insights
Grades
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Catalog & offerings
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Grade history
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Explore recorded gradesRecorded 2026-10-14
Model outputs & technical records
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
{
"model": "Qwen/Qwen3.8-27B",
"model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
"task_version": "17",
"output_id": "2441486ad9e921b2aaf5360b3a872a986263adfb21a18bb3384de9c6f2222c3d",
"requirements_status": "needs_review",
"dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"observed_at": "2026-10-14 17:50:09.728220+00:00"
}