Knowledge, Variation, Control Charts, DOE and Six Sigma
Date: Wednesday, February 27
Time 3:30 pm
Place: 3210 Shelby Center
Edgardo Escalante
Professor
Industrial Engineering, Monterrey Tech, Mexico
Biography
Professor of industrial engineering at Monterrey Tech in Mexico for 28 years, as well as a consultant in applied statistics and quality and productivity improvement for 22 years. He is currently a visiting professor in the Department of Industrial and Systems Engineering at Auburn University where he's teaching and working in the development of the NASA's Academy of Aerospace Quality
Since 1985 Dr. Escalante has been teaching numerous public and in-house professional training courses in Six Sigma, applied statistics, statistical software, problem solving techniques, and in quality and process improvement. Some of the companies he has worked with as an instructor and/or as a consultant are General Motors, Carplastic, Rassini, Coca-Cola, Pepsi, Xerox, Cummins, Nemak, General Electric Lighting, John Deere, Fersinsa Gist-Brocades, Teksid, Herberts Powder Coatings, Thomas & Betts, IBM, Lucent Technologies, and Philips.
Most of Dr. Escalante's research is on the application of tools and techniques to improve processes and operations' quality and productivity.
Dr. Escalante holds a Ph.D. in Management Science from Lancaster University, a MSc in industrial engineering from the Ohio State University, a Diploma of Higher Studies in Sciences from the Universite de Rennes and a BSc in Electronics engineering from Monterrey Tech. He's also a certified Six Sigma Black Belt from the American Society for Quality.
Abstract
Knowledge, Variation, Control Charts, DOE and Six Sigma
Some old and basic concepts and techniques take on a new dimension based on firstly a better and deeper understanding of them, and secondly as being part of an integrated and powerful methodology. The concepts of knowledge and Variation are revisited as well as control charts through a hypothetical example and DOE through a real application. They are then embedded into the Six Sigma methodology which is briefly explained. Next some conclusions are drawn regarding the benefits and relationships between the concepts and techniques presented.
