Engineering Optimization for Product Design and Manufacturing (441-0-1)

Instructors

Wei Chen
847/491-7019
Technological Institute, Rm L293, 2145 Sheridan Rd, EV CAMPUS

Meeting Info

Technological Institute M152: Tues, Thurs 9:30AM - 10:50AM

Overview of class

Introduction to optimization theory and numerical techniques. Formulations, algorithms, computer implementation, examples/projects with emphasis in numerical and emerging techniques for design and manufacturing related applications.
Topics:
Introduction to engineering optimization
Formulation of optimization models
Linear models and solution techniques
Unconstrained nonlinear models and solution algorithms
Constrained nonlinear optimization
Discrete and mixed integer models and techniques
Shape and topology optimization
Computer experiments and metamodeling
Optimization under uncertainty
Multiobjective and Multidisciplinary optimization

Registration Requirements

Graduate standing, senior undergraduate or permission of instructor.

Learning Objectives

The course is designed to provide engineering students a view of optimization as a tool for engineering decision making. Students will be given a fundamental introduction to the optimization techniques and an opportunity to learn how to model product design and manufacturing problems and solve them using computer-based (numerical) optimization techniques. Students will be encouraged to relate the course material to their research.

Evaluation Method

Grading: Homework (35%), Mid-term (30%), Term project (25%written + 5% presentation), Class participation (5%)

Class Materials (Required)

Introduction to Optimum Design, Arora, J.S., Elsevier Academic Press 2016 ISBN 978-0128008065

Class Materials (Suggested)

Reference Materials
Engineering Optimization: Methods and Applications, Reklaitis, R.R., 2002.
Optimization Concepts and Applications in Engineering, Belegundu, A.D. ISBN 978-1107674172.
Quality Engineering using Robust Design, Phadke, M.S., 1989 ISBN 978-0137451678.