Business Operations Engineering

Business Operations Engineering Program Area

Automatic factory line robots work on assembling products

Learn about analytical approaches to production, storage, and distribution of goods and services from sources to customers. Develop the analytical skills needed for data-driven engineering of modern business operations and processes, including business-critical activities such as supply chain analytics, warehousing, distribution logistics, production operations, transportation systems, service operations, financial, and risk management.

Key Topics: Data-Driven Modeling, Enterprise Planning and Scheduling, Financial Engineering, Lean Thinking, Manufacturing and Service Facilities, Supply Chain Analytics, Service Operations

Area Lead: Cong Shi

Foundation Courses

IOE 510 Linear Programming

Advisory prerequisites: Math 217, Math 417, or Math 419. (3 credits)

Formulation of problems from the private and public sectors using the mathematical model of linear programming. Development of the simplex algorithm; duality theory and economic interpretations. Post optimality (sensitivity) analysis application and interpretations. Introduction to transportation and assignment problems; special purpose algorithms and advanced computational techniques. Students have opportunities to formulate and solve models developed from more complex case studies and to use various computer programs.

IOE 515 Stochastic Processes

Advisory prerequisites: IOE 316 or Stats 310. (3 credits)

Introduction to non-measure theoretic stochastic processes. Poisson processes, renewal processes and discrete-time Markov chains. Applications in queueing systems, reliability, and inventory control.

IOE 541 Optimization Methods in Supply Chain 

Advisory prerequisites: IOE 310, IOE 316, or permission of the instructor. (3 credits)

Introductory graduate course on optimization methods in supply chain management.  Topics include forecasting and demand models, deterministic and stochastic inventory models, multi-echelon inventory models, facility location models, process flexibility, supply chain contracts, and joint learning and optimization methods in supply chain models. 

IOE 500 IOE Master’s Seminar

Advisory prerequisites: IOE master’s student or permission of instructor. (1 credit)

Seminars presented by academic speakers and industry leaders to describe contemporary applications of industrial and operations engineering models and techniques to master’s students in IOE. The focus is on applications but research challenges are addressed as needed. Many speakers also address potential career opportunities for MS students in IOE.

Suggested courses to further explore the business operations engineering program area

Methods focused

IOE 512 Dynamic Programming

IOE 516 Stochastic Processes II

IOE 511 Continuous Optimization Methods

EECS 558 Stochastic Control

IOE 565 Time Series Modeling, Analysis, Forecasting

Math 572 Numerical Methods for Scientific Computing II

Stat 500 Applied Statistics I

IOE 517 Game Theory with Operations Applications

IOE 561 Risk Analysis I

EECS 545 Machine Learning

IOE 591 Introduction to Data Analytics

Financial engineering

IOE 452 (MFG 455) Corporate Finance

IOE 453 Derivative Instruments

IOE 552 Financial Engineering I

IOE 553 Financial Engineering II

FIN 612/614 International Finance and International Financial Markets

Supply chain management

IOE 440 (MGF 440) Operations Analysts and Management

IOE 425 (MFG 426) Lean Manufacturing and Services

IOE 419 Service Operations Management

IOE 447 (MFG 447) Facility Planning

IOE 449 (MFG 449) Material Handling Systems

IOE 525 Lean Principles and Scientific Thinking in Organizations

IOE 541 Optimization Methods in Supply Chain

IOE 543 Scheduling

IOE 545 Stochastic Networks and Operations

IOE 591* Special Topics (Transportation System Opt)

IOE 547 (MFG 547) Supply Chain Facilities 

IOE 548 Integrated Product Development

IOE 551 Benchmarking, Productivity Analysis and Performance Measurement

IOE 583 (MECHENG 583) (MFG 583) (EECS 566) Scientific Basis for Reconfigurable Manufacturing

IOE 588 (MECHENG 588) (MFG 588) Assembly Modeling for Design and Manufacturing

IOE 641 Supply Chain Management

Healthcare management

IOE 413 Optimization Modeling in Healthcare

IOE 513 Healthcare Operations Research: Theory and Applications


IOE 421 Work Organizations

IOE 430 Global Cultural Systems Engineering

Data analytics

IOE 465 Design of Experiments

IOE 466 Statistical Quality Control

IOE 473 Advanced Data Analytics

IOE 561 Risk Analysis I

IOE 568 Statistical Learning & Applications in Quality Engineering

IOE 591 Introduction to Data Analytics

IOE 565 Time Series Modeling, Analysis, Forecasting

IOE 691 Bayesian Optimization