Spring 2027

Engineering Models for Supply Chains

Engineering Models for Supply Chains covers engineering fundamentals, including modeling multi-stage production distribution systems, multi-echelon inventory models, supply chain contracts, and the value of flexibility and information.

offering recorded3 credits
Recorded instructors · Spring 2027 No instructors listed

Summary

1 / 3

Recent recorded grades — Fall 2022: 3.67 GPA, 86.7% A/AB (n=30 letter grades); Fall 2023: 4.00 GPA, 100.0% A/AB (n=20 letter grades); Spring 2026: 3.82 GPA, 100.0% A/AB (n=19 letter grades).

What you’ll be able to do

  • Apply multiple forecasting methods for customer demand

  • Identify and apply multiple inventory management models

  • Identify the limitation of models and tune them for realistic cases

  • Create and present reports for realistic inventory management policy

  • Demonstrate ability to lead a team project to optimize realistic supply chain decisions with analytical tools and numerical simulation

Source: UW Guide

Grade history

↗
average GPA
letter grades
A
AB
B
BC
C
D
F

All recorded terms · compare terms & instructors

Prerequisites

Course map

I SY E 323 and I SY E 415, or graduate/professional standing, or member of Engineering Guest Students

    • take all
    • graduate/professional standing
    • member of Engineering Guest Students
    take one
ISYE 645

This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree
  • Any of
    • All of
    • graduate/professional standing
    • member of Engineering Guest Students

Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Spring 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction0 / 380

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.

Meeting source records
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Student experience

the class

Recent recorded grades — Fall 2022: 3.67 GPA, 86.7% A/AB (n=30 letter grades); Fall 2023: 4.00 GPA, 100.0% A/AB (n=20 letter grades); Spring 2026: 3.82 GPA, 100.0% A/AB (n=19 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Multi-stage production distribution systems
  • Multi-echelon inventory models
  • Supply chain contract theory
  • Flexibility and information sharing in supply chains

Skills

  • Apply forecasting methods for customer demand
  • Identify and apply inventory management models
  • Tune models for realistic cases
  • Optimize supply chain decisions using analytical tools and simulation

Grades

Latest available · Spring 2026— not enough history to project Spring 2027.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
C
D
F

Grades over time

Through Spring 2026

More grade details Grade mix, volume & source data

Not enough comparable courses for Spring 2027 in UW–Madison.

Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

Catalog observation history

Observations at scan time; dates do not imply when a catalog change took effect.

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Selected offering source records
ISYE 645 · Spring 2027

Engineering Models for Supply Chains

Recorded 2026-10-14
Raw records 
[
  {
    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:490:024327",
    "course_id": "ISYE 645",
    "course_uid": "course_83523a8ef420e23e56bcec57",
    "term_id": "1274",
    "source_course_id": "024327",
    "source_subject_id": "490",
    "title": "Engineering Models for Supply Chains",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Fall"
  }
]
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Student reviews

Original comments behind the course and instructor summaries.

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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

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Dataset & model

Recorded 2026-10-14

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Download part 1
Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "f6fd38d2d625d70dbab39c1d6f8f7f3c1c5bb51584bdde66917e0d76086b88bf",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}