Industrial Engineering (IER)

IER 310. Operations Research I.3 Credits.

This course provides a rigorous introduction to the principles of operations research with a focus on linear programming models and simplex method, duality and sensitivity analysis; transportation and assignment problems; network models; integer and nonlinear programming; an introduction to queuing theory and Markov Chains.

Prerequisites: Take one of the following: Take MA 152; or MA 151 and MA 229; or MA 141 and MA 229.
Offered: Every year, Fall

IER 311. Operations Research II.3 Credits.

This course introduces students to stochastic processes for analysis of industrial engineering problems, emphasizing examples, applications and cases.

Prerequisites: Take IER 310.
Offered: As needed

IER 320. Production Systems.3 Credits.

This course provides an introduction to production systems, classification, general terminology, technical aspects, economics and analysis of manufacturing systems. Students learn the fundamentals of automation and control technologies as well as manufacturing support systems. Sophomore status required.

Offered: Every year, Fall

IER 330. Lean Systems Engineering.3 Credits.

This course provides a comprehensive and hands-on introduction to Lean Systems and its wide applications, with special emphasis on the Toyota Production System.

Prerequisites: Take IER 320.
Offered: Every year, Fall

IER 335. Systems Engineering and Management.3 Credits.

This course discusses the theory and methods used to design, analyze and manage engineered systems. Students review the principles of system life-cycle management including requirements analysis, system design, functional decomposition, configuration management and systems evaluation. Topics of engineering management emphasizing human relationships, motivational theory and human-systems integration also are addressed.

Prerequisites: Take IER 320.
Offered: Every year, Spring

IER 340. Physical Human Factors and the Workplace.1 Credit.

This course analyzes the impacts of the physical factors of the human decision makers on workflow and efficiency. Basic concepts of anthropometry, biomechanics, work physiology, stress and workload as well as work measurement are introduced. Special emphasis is placed on the capabilities and limitations of humans, in human-centered design of systems and products.

Prerequisites: Take ENR 110.
Offered: Every year, Fall

IER 350. Facilities Layout and Material Handling.3 Credits.

The focus of this course is the design of industrial facilities with consideration of work organization and layout. Students study product and process designs as a part of facilities planning, material handling systems, flow systems, departmental planning and layout algorithms, space requirements for facilities, and receiving and shipping principles. The course also covers the engineering techniques used for determining the best location of a brand new facility.

Prerequisites: Take IER 320.
Corequisites: Take IER 310.
Offered: Every year, Fall

IER 360. Operations Planning and Control.3 Credits.

This course focuses on analytical techniques for work scheduling and materials planning in the manufacturing, service and health care industries. The main objective is to develop the ability to use engineering tools for industrial engineering practice in operations and materials management. Topics include forecasting, production and material planning, inventory analysis and scheduling techniques.

Prerequisites: Take MA 285.
Offered: Every year, Fall

IER 385. Decision Analysis.3 Credits.

The course presents basic techniques of decision making concentrating on both theoretical and modeling aspects. This course integrates the art and science of decision making for single and multiple objective environments to support the decision-making phase of the Systems Decision Process (SDP). The focus of the course is modeling problem structure, uncertainty, risk and preference in the context of decision making.

Prerequisites: Take CSC 110-110L.
Offered: Every year, Spring

IER 400. Special Topics in Industrial Engineering.1-4 Credits.

Offered: As needed

IER 410. Designing and Managing the Supply Chain.3 Credits.

This course provides an introduction to the techniques of supply chain management, focusing on logistics, purchasing and product development processes. The main objective is develop competence in quantitative methods for analyzing and solving supply chain problems in a variety of industries that include manufacturing, services and health care. Topics include supply chain performance, network design, product availability and sustainable supply chain management.

Prerequisites: Take IER 360.
Offered: As needed

IER 415. Design of Experiments.3 Credits.

This course deals with the design of experiments, the application of variance, regression analysis, and related statistical methods. Students learn how to plan, design and conduct experiments efficiently and effectively and learn how to analyze the resulting data to obtain objective conclusions. Experimental design and analysis are investigated.

Prerequisites: Take MA 285.
Offered: As needed

IER 420. Industrial Control Systems.3 Credits.

Students explore classical control systems through modern control methods based on state variable models, feedback models, controllers and full-state observers. Students gain experience in computer-aided design and analysis using Matlab.

Prerequisites: Take IER 320.
Offered: As needed

IER 430. Statistical Process Control.3 Credits.

The main focus in this course is to understand and implement the Define-Measure-Analyze-Improve-Control (DMAIC) approach in Six Sigma. Therefore, defining a problem for improvement of a process and using data-driven measuring, analysis, improvement and controlling techniques to solve the defined problem are the essentials of this course. Topics include quality improvement philosophies, modeling process quality, statistical process control, control charts for variables and attributes, single- and multivariable regression analysis of data sets, sampling strategies, economic design of charts, use of statistical distributions for data analysis and process capability.

Prerequisites: Take MA 285.
Offered: Every year, Fall

IER 440. Simulation.3 Credits.

This course includes a simulation of complex systems with applications in industrial engineering. Topics include modeling and developing custom solutions in one or more high-level computer packages; input distribution modeling; emphasizing examples, applications and cases.

Prerequisites: Take MA 285.
Offered: Every year, Spring

IER 450. Health Care Systems Engineering.3 Credits.

This course introduces students to health care organizations, including hospitals, clinics, multihospital systems and other facilities as an integrated delivery system. By emphasizing practical application of diverse operations involved in such a system, various quantitative modeling and optimization techniques are discussed and applied to solve problems.

Prerequisites: Take IER 335.
Offered: Every year, Spring

IER 465. Cognitive Human Factors and the Workplace.2 Credits.

This course analyzes the impacts of the cognitive factors of the human decision makers on workflow and efficiency. Basic concepts of cognition, as well as sensory systems, such as visual and auditory, are introduced, leading to the analysis of design topics, including displays, controls, shiftwork and work-rest schedules. Special emphasis is placed on the capabilities and limitations of humans, in human-centered design of systems and products. Sophomore status required.

Offered: Every year, Fall

IER 475. Human Reliability.1 Credit.

This course focuses on the principles, methods and tools for the analysis, design and evaluation of human decision making within human-centered systems. The impacts of human perceptual and cognitive factors are analyzed, leading to design principles for error-prevention. This course is complementary to IER 465, Cognitive Human Factors and the Workplace. Sophomore status required.

Offered: Every year, Fall

IER 485. System Reliability.2 Credits.

This course provides an introduction to failure rates, failure risk analysis and system configurations, such as series, parallel and redundant systems. It also discusses design for reliability and optimal maintenance and replacement policies.

Prerequisites: Take MA 285 MA 142 or MA 152.
Offered: Every year, Fall

IER 489. Advanced Independent Study in IE.1-6 Credits.

This is a tutorial course or an individual project in which the student pursues advanced study in systems engineering or engineering management. The scope of the course is tailored to the desires of the student in consultation with a faculty adviser. Communication skills are developed with both written reports and oral presentations. Requires approval of faculty member.

Offered: Every year, Fall and Spring

IER 490. Engineering Professional Experience.1 Credit.

Students gain at least 240 hours of experience by employing industrial engineering skills in a professional setting. Students must obtain departmental approval and register prior to starting the experience. Prerequisite may be waived with permission of adviser.

Prerequisites: Take ENR 395.
Offered: Every year, All

IER 491. Capstone Project I.3 Credits.

This is the first part of a two-semester capstone design experience for senior industrial engineering students. Students apply knowledge gained throughout the curriculum to a significant project. Furthermore, this course aims to strengthen the students' oral and written communication skills as well as teamwork and conflict resolution. Students work in teams to formulate issues and collect data at an external organization before beginning to perform analysis and propose solutions in the subsequent course--IER 498.

Corequisites: Take IER 330 IER 335 IER 340 IER 430 IER 465.
Offered: Every year, Fall

IER 498. Capstone Project II.3 Credits.

This is the second part of a two-semester capstone design experience for industrial engineering students. The purpose of a capstone project is to give senior students the opportunity to apply knowledge gained throughout the curriculum to a significant project. After formulating the problem and commencing data collection in IER 491, the student teams continue their project in IER 498 by completing data collection, performing analysis and modeling, and finally recommending solutions to help address the client issue(s).

Prerequisites: Take IER 310 IER 491.
Offered: Every year, Spring