Wayne Fu teaching at University of Michigan-Dearborn

Decision Analysis · University of Michigan-Dearborn

I enjoy teaching quantitative courses that require both rigorous thinking and practical judgment. My goal is always to connect methods to meaning — every analytical technique students learn should tie back to a real decision someone has to make. I teach across statistics, decision analysis, business analytics, and operations management at both undergraduate and graduate levels.

Teaching Interests

Statistics & Management Science
Business Analytics
Operations & Supply Chain Management
Decision Analysis
Data Mining for Business
Operations Planning & Control

Current & Recent Courses

BusOBA 4232 Ohio State University · Fall 2025

Operations Planning & Control

Covers core concepts in production planning, inventory management, scheduling, and supply chain coordination. Enrollment: 19 students.

DS 301 UM-Dearborn · Recurring

Introduction to Business Statistics

Foundational course in statistical reasoning for business. Topics include descriptive statistics, probability, hypothesis testing, and regression analysis. Taught multiple sections each term with enrollments ranging from 10 to 72 students.

DS 631 UM-Dearborn · Recurring

Decision Analysis

Graduate course on analytic techniques for rational decision-making under uncertainty. Topics include decision modeling, influence diagrams, decision trees, sensitivity analysis, simulation, risk attitudes, objective hierarchies, and the value of information. Students complete applied projects demonstrating skills in real business contexts.

DS 633 UM-Dearborn · Fall 2024

Data Mining for Business Applications

Graduate course on applied machine learning and data mining techniques for business decision-making, including classification, clustering, and predictive modeling. Enrollment: 10 students.

MGT 2251 Georgia Institute of Technology · 2015

Introduction to Management Science

Undergraduate course in quantitative methods for management, including linear programming, network models, and simulation. Taught two sections of ~42–46 students each.

Editorial & Professional Service

Editorial Roles

  • Editorial Review Board — Journal of Operations Management (2025–present)
  • Editorial Review Board — Production and Operations Management (2025–present)
  • Editorial Review Board — IJOPM (2022–present)
  • Associate Editor — International Journal of Production Engineering (2019–present)
  • Online Editor — College of Sustainable Operations, POMS (2022–2024)

Peer Reviewing

  • Management Science
  • Manufacturing & Service Operations Management
  • International Journal of Operations and Production Management
  • Production and Operations Management
  • Production Planning & Control
  • Midwest Academy of Management (conference)
  • EurOMA (conference)

University Service

  • COB Representative, Summer Undergraduate Research Experience (2018–present)
  • Scholarship & Award Committee, COB (2021–present; Chair 2023)
  • Secretary of Governing Faculty (2020)
  • Faculty Search Committees: HR, IT, Strategy, Marketing, Accounting, Finance

Competition Judging

  • Student Paper Competition — College of Sustainable Operations, POMS (2020, 2023)
  • Student Paper Competition — Decision Science Institute (2025)