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CfPA - The Center for Professional Advancement, 90 Minute Accredited Online Training
September 14, 2011 at 11:00 a.m.–12:30 p.m. (ET)
Who Should Attend
This course is intended for any industry which employs a Plant Control System (PCS) or a Distributed Control System (DCS) in the collection of their mountains of data. It will be especially valuable to professionals in the chemical and pharmaceutical areas.
Process Engineers and Quality Engineers as well as other staff members having interest in improving the quality of their plant. This course does not require the use of mathemetical analysis as a basis for quality improvement results. Description
One effect of the use of Plant Control Systems (PCS) and Distributed Control Systems (DCS) has been to greatly increase the amount of data that is available for Continuous Process Improvement. The increase in the amount of data dealing with the control factors has been augmented with availability of both on-line and in-line for large numbers of response variables. It is important that all of this data be integrated and used to rationalize process specification limits for the multitude of inter-related control factors. This very real advantage can then be used to provide the operators with continuously available guidance as to which variables need to be changed and what levels of the control factors must be used to correct for discrepant results. This course does not require the use of mathemetical analysis as a basis for quality improvement results.
This 90-minute accredited training course will provide the means to use real data to provide for data rationalized process specification limits for the multitude of control variables. This very real advantage can then be used to provide the operators with information as to which variables need to be changed and to what new values, in order to correct for discrepancies. This training will include opportunities for learning assessment.
Review of Learning Objectives
Module 1:
• Present an overview of both the problem being addressed
and the use of Parallel Coordinate Geometry to achieve
the objective
Module 2:
• Demonstrate Parallel Coordinate Geometry using several
real examples with large numbers of control variables
and multiple response variables
• Discuss the possibility of building meaningful, data based
specification limits
• Show how Parallel Geometry approach may be used for
process control purposes
• Emphasize that the advantages are all obtained without the
use of mathematics
Module 3:
• Using Parallel Coordinate Geometry as a process control
mechanism
• Summarize
Question and Answer Session
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Organized by:
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CfPA - The Center for Professional Advancement |
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Invited Speakers:
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Donald S. Holmes, founder of STOCHOS, expert in teaching and application of quantitative methods to management systems
Donald S. Holmes, founder of STOCHOS, is well versed in the teaching and application of quantitative methods to management systems. He is a Fellow of the American Society for Quality Control (ASQC) and a certified quality engineer.
A professor Emeritus at Union College where he taught quality management, Mr. Holmes helped start the Institute of Administration and Management. He launched innovative training programs during his tenure at General Electric, among them a management problems analysis course offered to hundreds of personnel each year.
Mr. Holmes pioneered factory process simulation as a business logician with GE's operations research and synthesis group, and consulted for the company as a quality control engineer. As a regional representative for the Strategic Planning Institute of Cambridge, Massachusetts, he assisted companies seeking to understand and improve their financial performance.
With B.S. and M.S. degrees in mathematics from Juniata College and Purdue University, he has taught at Emory University, Georgia Institute of Technology, the State University of New York at Albany and Union College. He also has taught at the University at Munich and the Middle East Technical University in Ankara.. He was a chief inspector of the US Army Chemical Corps, and has served as a consultant to the business program at Rensselaer Polytechnic Institute.
He has worked with all types of computers, from desktop micros to large mini-computers, in designing solutions to a wide range of problems in engineering, manufacturing and management.
He is the author and/or co-author of many published quality articles and has made numerous presentations to local and national groups. He is a regular faculty member of the Center for Professional Advancement and has served as a member of the editorial board of Quality Engineering.
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Deadline for Abstracts:
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n/a
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Registration:
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Please click here for registration information.
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E-mail:
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sberg@cfpa.com
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