This course teaches participants the fundamental concepts and methods needed to establish effective control charts and estimate process capability. In addition to learning traditional control charts (e.g. xbar, r/s), participants will be exposed to other useful charts for handling multiple sources of variation (within/between) and short production runs. Practical aspects of implementing SPC on the shop floor are also discussed
Estimating process capability for both normal and non-normal data is discussed. The meaning and limitations of popular capability are presented in detail.
This highly interactive course will allow participants the opportunity to practice applying SPC techniques with various data sets. The objective is to provide participants with the key tools and knowledge to be able to apply the methods effectively for their own processes.
Process Capability (cont'd)
Other Control Charts
Other Control Charts
|1||2 Attendees||10% off|
|2||3 to 6 Attendees||20% off|
|3||7 to 10 Attendees||25% off|
|4||10+ Attendees||30% off|
To avail the above group discounts, all the participants should register by making a single payment
Call our representative TODAY on 1800 447 9407 to have your seats confirmed!
Steven Wachs has 25 years of wide-ranging industry experience in both technical and management positions. Steve has worked as a statistician at Ford Motor Company where he has extensive experience in the development of statistical models, reliability analysis, designed experimentation, and statistical process control.
Steve is currently a Principal Statistician at Integral Concepts, Inc. where he assists manufacturers in the application of statistical methods to reduce variation and improve quality and productivity. He also possesses expertise in the application of reliability methods to achieve robust and reliable products as well as estimate and reduce warranty.
M.A., Applied Statistics, University of Michigan, 2002
M.B.A, Katz Graduate School of Business, University of Pittsburgh, 1992
B.S., Mechanical Engineering, University of Michigan, 1986