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Events for May 02, 2012
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Six Sigma Black BeltWed, May 02, 2012 @ 09:00 AM - 05:00 PM
Executive Education
Conferences, Lectures, & Seminars
Speaker: Larry Aft, Professional Programs
Talk Title: Six Sigma Black Belt
Abstract: Course Overview
This course teaches you the advanced problem-solving skills you'll need in order to measure a process, analyze the results, develop process improvements and quantify the resulting savings. Project assignments between sessions require you to apply what youâve learned. This course is presented in the classroom in three five-day sessions over a three-month period.
Learn the advanced problem-solving skills you need to implement the principles, practices and techniques of Six Sigma to maximize performance and cost reductions in your organization. During this three-week practitioner course, you will learn how to measure a process, analyze the results, develop process improvements and quantify the resulting savings. You will be required to complete a project demonstrating mastery of appropriate analytical methods and pass an examination to earn IIEâs Six Sigma Black Belt Certificate.This practitioner course for Six Sigma implementation provides extensive coverage of the Six Sigma process as well as intensive exposure to the key analytical tools associated with Six Sigma, including project management, team skills, cost analysis, FMEA, basic statistics, inferential statistics, sampling, goodness of fit testing, regression and correlation analysis, reliability, design of experiments, statistical process control, measurement systems analysis and simulation. Computer applications are emphasized.
NOTE: Participants must bring a laptop computer running Microsoft Office® to the seminar.
Course Topics
* Business process management
* Computer applications
* Design of experiments (DOE)
* Design for Six Sigma (DFSS)
* DMAIIC
* Enterprisewide deployment
* Lean enterprise
* Project management
* Regression and correlation modeling
* Statistical methods and sampling
* Statistical process control
* Team processes
Benefits
Upon completion of this course, you will be able to:
* Analyze process data using comprehensive statistical methods
* Control the process to assure that improvements are used and the benefits verified
* Define an opportunity for improving customer satisfaction
* Implement the recommended improvements
* Improve existing processes by reducing variation
* Measure process characteristics that are critical to quality
Who Should Attend
* VPs, COOs, CEOs
* Employees new to a managerial position
* Employees preparing to make the transition to managerial roles
* Current managers wanting to hone leadership skills
* Anyone interested in implementing Lean or Six Sigma in their organization
Program Fees
On-Campus Participants: $6095
Includes continental breakfasts, lunch and all course materials. The fee does not include hotel accommodations or transportation.
Online Participant with Live Session Interactivity: $6095
Includes attendee access codes for live call-in or chat capabilities during class sessions. Also includes all course and lecture materials available for live stream or download.
Reduced Pricing:
Institute of Industrial Engineers (IIE): Reduced pricing is available for members of IIE. Please contact professional@mapp.usc.edu for further information.
Trojan Family: USC alumni, current students, faculty, and staff receive 10% reduced pricing on registration.
Boeing: Boeing employees receive 20% off registration fees (please use Boeing email address when registering).
Location
Two course delivery options are available for participants, on-campus and online with interactivity:
On-Campus Course is held in state-of-the-art facilities on the University of Southern California campus, located in downtown Los Angeles. Participants attending on-campus will have the option to commute to the course or stay at one of the many hotels located in the area. For travel information, please visit our Travel section.
Overview of on-campus option:
* The ability to interact with faculty and peers in-person.
* Access to hard copy course materials.
* Ability to logon and view archived course information - up to 7 days after the course has been offered. This includes course documents and streaming video of the lectures.
* If there is a conflict during any on-campus course dates, on-campus participants can elect to be an online/interactive student.
* Parking, refreshments and lunch are provided for on-campus participants â unless otherwise specified.
Online (Interactivity) Course delivery is completely online and real-time, enabling interaction with the instructor and fellow participants. Participants have the flexibility of completing the course from a distance utilizing USC's Distance Education Network technology. Students are required to be online for the entirety of each day's session.
Overview of online (interactive):
* Virtually participate in the course live â with the ability to either ask questions or chat questions to the entire class.
* WebEx technologies provide the option to call into the class and view the entire lecture/materials on a personal computer, or to participate on a computer without having to utilize a phone line.
* Ability to logon and view archived course information up to 7 days after the course has been offered. This includes course documents and streaming video of the lectures.
Continuing Education Units
CEUs: 10.5 (CEUs provided by request only)
USC Viterbi School of Engineering Certificate of Participation is awarded to all participants upon successful completion of course.
Upon completion, participants will also receive their Institute of Industrial Engineers certification in SIx Sigma Black Belt.
Host: Professional Programs
Audiences: Registered Attendees
Contact: Viterbi Professional Programs
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Adaptive Feedback-Based Detection and Compensation of Dynamic System Failures and Damage
Wed, May 02, 2012 @ 10:00 AM - 11:00 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Professor Gang Tao, University of Virginia
Talk Title: Adaptive Feedback-Based Detection and Compensation of Dynamic System Failures and Damage
Abstract: Actuator and sensor failures, and system structural damage can cause control system performance deterioration and even lead to instability and catastrophic accidents. Effective date action and compensation of failures and damage are crucial for performance-critical systems. In this talk, we present some of our recently developed adaptive failure and damage detection and compensation techniques whose main features are feedback-based detection with guaranteed stability and direct compensation with fast and improved performance. Actuator failures are characterized by some unknown system inputs stuck at some unknown fixed or varying values at
unknown time instants and cannot be influenced by the applied control signals. Sensor failure and uncertainties cause errors in measuring the system output signals for feedback control. System damage can cause large structural and parametric uncertainties. The task of direct adaptive compensation is to design the feedback control signals in a way that despite uncertain failures and damage, the adaptive control system can automatically achieve desired stability and asymptotic tracking.
A key feature of many fault detection schemes is that they require the system to be detected remains stable when a fault (failure or damage) occurs. This may limit the applicability of such schemes in performance-critical systems applications such as aircraft flight control systems which may become unstable when a fault occurs. A desirable detection scheme should be designed in a feedback framework to ensure the needed stability for effective fault detection. We will address some technical issues in direct adaptive failure and damage compensation and in feedback-based fault detection: system modeling with failures and damage, redundant actuation and sensing, plant-model matching, system invariance under damage, error systems with faults, adaptive detection and compensation design, stability and tracking analysis, and system performance evaluation.
Biography: Gang Tao received his B.S. (EE) degree from University of Science and Technology of China in 1982, M.S. (EE, CpE, ApMath) degrees and Ph.D. (EE) degree from University of Southern California during 1984-1989. For over 25 years, he worked in the areas of adaptive control, with particular interests in adaptive control of systems with multiple inputs and multiple outputs and with nonsmooth nonlinearities and actuator failures, in stability and robustness of adaptive control systems, and in passivity characterizations of dynamic systems. Recently he has been working on adaptive control of systems with uncertain actuator failures and nonlinearities, structure damage and sensor uncertainties, with applications to aircraft flight control.
He is currently an associate editor for Automatica and a subject editor for International Journal of Adaptive Control and Signal Processing. He is a Fellow of IEEE.
Host: Petros Ioannou
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Shane Goodoff
