Courses

	The Harold and Inge Marcus Department of Industrial & Manufacturing Engineering
	Laboratory for Quality Engineering and System Transitions (QUEST)

Dr. Harriet Black Nembhard
Associate Professor and Bashore Career Professor
Director, QUEST Lab
212 Leonhard Building
University Park, PA 16802
Phone: 814-865-4210
Fax: 814-863-4745
Email: hbnembhard@psu.edu

University Lectures

IE 597 Statistical Process Monitoring and Analysis
This is an advanced course in statistical process control (SPC) techniques for process monitoring. The course begins with an overview of the basic SPC methods and time series modeling background, then emphasizes some of the more useful recent developments in monitoring autocorrelated processes, directed process monitoring using Cuscore charts, changepoint modeling, and multivariate analysis. We will consider a number of practical applications in manufacturing and service fields including polymer processing, nanotechnology, health care, and global sustainability.

IE 423 Quality Control and Reliability
This is a senior undergraduate in statistical process control (SPC) and reliability methods. We will study these methods in depth and consider a number of practical applications in manufacturing and service fields.

IE 511 Design of Experiments
This is a basic course in designing experiments and analyzing the resulting data. Given the important role of quantitative literacy in this course (as well as in many others), our early work will emphasize data analysis using graphical displays and visual interpretation. As we move forward, we will focus the types of statistical experiments that are frequently run in industrial settings. Well-designed experiments allow us to obtain the desired results faster, easier, and with fewer resources. Opportunities to use the principles taught in the course arise in all phases of engineering work, including new product design and development, process development, and manufacturing process improvement.

Industry Short Course

Statistical Control in Industrial Systems

This is a three-day industry short course that will show you how you can achieve greatly improved quality control by using a coordinated approach to applying DOE, process control, and process monitoring. You will see how, by using these methods, costs can be reduced, scrap and rework minimized, and output variation brought under control. The course begins with a review of basic DOE concepts such as factorial and fractional factorial designs for screening large numbers of variables. Once the critical variables are determined, then they can be controlled. Accordingly, feedback adjustment methods are introduced that have been specifically developed to suit the various opportunities and circumstances of manufacturing processes. You will learn how to design feedback schemes to minimize costs of adjustment and sampling and how to implement them using simple tools. You will also learn how to develop sensitive process monitoring schemes for early detection of common problems and how efficient process monitoring can be conducted while feedback control is simultaneously taking place. Several workshops, illustrations, and exercises are used to clarify each concept. A course notebook is distributed to each participant.