Introduction to the profession and core topics of industrial engineering. Introduction to problem solving, ethics and industrial engineering design and analysis techniques.

Engineering materials, deformative manufacturing, subtractive manufacturing, additive manufacturing, assembly processes, quality control and productivity; computer aided manufacturing.

Manual components and cognitive aspects of work.  Ergonomics and work design methods for increased productivity and improved worker health and safety. Integration of motion and time study with human factors and ergonomics and safety engineering.

Planning and control of operations in both manufacturing and service industries. Effective management and utilization of resources and the production of cost-effective products and services. Principles, models, and techniques used for production planning and inventory control.

Application of operations research to industrial engineering. Algorithmic and practical implementation of mathematical models to describe and/or improve systems and to gain real-time efficiency.

Programmable automation applied to manufacturing. Computer architecture, sensors and automatic data acquisition. Experiments interfacing microcomputers and industrial controllers in manufacturing applications.

Individual investigation or studies of special topics. Requires contract approval.

Quality tools and techniques employed to help prevent defects in engineered products, and to avoid problems when delivering solutions or services to customers.

Methods to analyze and optimize facilities layout and the arrangement and movement of physical resources to support the production and distribution of goods and services.

Open-ended team design experiences that develop the ability to develop, implement, and improve integrated systems that include people, materials, information, equipment, and energy. Real-world experiences and business perspectives.

Content varies and will be announced in the schedule of classes by section title. May be repeated for different topics.

Advanced concepts of smart manufacturing: hardware infrastructure, cyber infrastructure, data infrastructure, industrial Internet of things, machine to machine network, machine vision, manufacturing event understanding.

Engineering analysis of the movement, production, and storage of raw materials, work-in-process inventory, finished goods, and services from point of origin to point of consumption or use.

Discrete event simulation methodology emphasizing the statistical basis for simulation modeling and analysis. Overview of computer languages and simulation design applied to various industrial situations.