ResearchBib Share Your Research, Maximize Your Social Impacts
Sign for Notice Everyday Sign up >> Login

Online Training 2017 - All about Design of Experiments

Date2017-05-18

Deadline2017-04-18

VenueNew Hyde Park, USA - United States USA - United States

KeywordsDesign and analysis of experim; Design of experiments; Design of experiments online

Websitehttp://bit.ly/2nka1ck

Topics/Call fo Papers

Design of Experiments offers huge advantages in terms of delivery of results, i.e. (1) timely, (2) informative, and (3) relatively cheap in terms of time and material expended. This webinar will help you to know the competitive and economic implications of effective DOE.
A Quick glance of this webinar:
The speaker will also introduce the factorial design, that allows the screening of multiple factors to determine which are important and which are not.
Session Highlights:
• Understand the basics of hypothesis testing
• Know the meaning of factors, levels, and interactions
• Know how to interpret the results of an experiment and more…
Why Should You Attend:
A comparison of experiments conducted by Frederick Winslow Taylor (prior to the development of industrial statistics) and by a 20th century pharmaceutical company underscores the value of DOE. Taylor wished to optimize the conditions for metal cutting, and he identified twelve factors (such as depth and duration of the cut) that he believed to influence the work). He then added (Principles of Scientific Management, 1911), "It may seem preposterous to many people that it should have required a period of 26 years to investigate the effect of these twelve variables upon the cutting speed of metals."
In addition, "In studying these laws more than 800,000 pounds of steel and iron was cut up into chips with the experimental tools, and it is estimated that from $150,000 to$200,000 was spent in the investigation." This was a small fortune in the late 19th century and, to make matters even worse, Taylor probably did not come up with the optimum solution because he had to hold eleven variables constant while he experimented with the twelfth. One variable at a time experimentation cannot identify much less quantify interactions between factors, i.e. synergies or antagonisms that make the whole greater or less than the sum of the parts. Only later were the statistical sciences developed that would have allowed Taylor to create the desired shop floor algorithm to optimize the conditions for every metal cutting job.
In contrast, DuPont had to determine the effect of nineteen factors on the sensitivity of a test for the AIDS virus. It took only four weeks, with the aid of modern DOE, to identify the effects and interactions between 19 factors. (Cusimano, Jim. "Understanding and Using Design of Experiments," Quality, April 1996.) This underscores the decisive competitive (in terms of time necessary to obtain information and make decisions) and economic (the cost of the experiment) advantages of DOE.
About the Speaker:
Speaker William A. Levinson, P.E., is the principal of Levinson Productivity Systems, P.C. He is an ASQ Fellow, Certified Quality Engineer, Quality Auditor, Quality Manager, Reliability Engineer, and Six Sigma Black Belt.
William has authored books on quality, productivity, and management, and the recent one is The Expanded and Annotated My Life and Work: Henry Ford's Universal Code for World-Class Success.
About Compliance Global:
Based in New Hyde Park, New York, we at Compliance Global Inc. offer training solutions to all sized businesses. We are known for providing quality webinar trainings at competitive prices. Our speakers are highly established industry experts, top consultants, and renowned subject matter experts. Visit www.complianceglobal.us
Source Link: http://bit.ly/2nka1ck

Last modified: 2017-04-14 20:01:52