Applying Statistical Process Control Effectively
Tuition: $150.00  

Instructor: NetZealous001

Duration: 1.25 Hour(s)
Registration Expiration: Unlimited

Code: sm_aspce

Average Student Review: No Reviews

Overview: Many companies have failed to achieve the potential benefits from the application of statistical process control due to widespread misunderstanding and misapplication of the methods. When misapplied, great improvements in quality and productivity are not achieved. The consequences of the improper application of SPC include: devastating inefficiencies, poor purchasing decisions, a false sense of reality, and processes controlling human behavior rather than the humans controlling process behavior. Why should you Attend: Learning objectives Understand SPC terminology and basic concepts Understand the most common mistakes in applying SPC Know the difference between process stability and process capability along with the appropriate methods for identifying both aspects (including an understanding of non-Normal distributions) Be able to make immediate improvements in the implementation of SPC in your organization Areas Covered in the Session: A brief overview of the purpose of Statistical Process Control SPC Fundamentals Common misunderstandings and misapplications of SPC. They include: the belief that control charts provide an indication of process capability the belief that specification limits are related to control limits a misunderstanding of chart sensitivity to detect process changes (proper sample size selection) the limitations of traditional control charts (e.g. Xbar-R) for many modern production processes charting the wrong characteristics when the normality of data matters the shortcomings of process capability indices when control limits should be updated how best to apply SPC to short production runs Who Will Benefit: Operations / Production Managers Quality Assurance Managers Process or Manufacturing Engineers or Managers Product Design Personnel Scientists Research & Development personnel Speaker Profile Steven Wachs has 25 years of wide-ranging industry experience in both technical and management positions. He 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.

Key Concepts:
Product Design, Scientists, Assurance Managers