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Detecting Process Changes with Adequate Sample Sizes on Control Charts (MFG976W)

Presented by: Steven Wachs
(*) Single User Price. For multiple users please call 1-800-223-8720
Pre Recorded Webinar
60 minutes
Event Description

Using OC Curves to Minimize Type II Errors and Determine Process Changes of High Practical Significance

When applied properly, statistical process control (SPC) provides manufacturers a proven method to increase profitability and achieve a deeper understanding of their processes. Additionally, SPC can prevent problems, saving companies money that would have been lost in scrap, rework, warranty, litigation, and market share decline. A key factor in obtaining these SPC benefits is the proper deployment of control charts. Correctly designed control charts identify significant changes to a process. These can be changes that are still within specification, but are statistically different than where the process was previously running. By identifying the changes, personnel can determine what caused the change and potentially improve the process or prevent the production of inferior products. 

SPC practitioners frequently fail to consider how sample size and sampling frequency affect the ability to detect process changes quickly, a primary objective of control charts. This webinar by expert speaker Steven Wachs will describe the use of operating characteristic (OC) curves to understand what type of performance may be expected from a control chart. An OC curve allows practitioners to determine a sample size that will result in the detection of those process changes that are of practical significance while minimizing the occurrence of false alarms (i.e. signals for process changes of little practical significance).

Session Highlights

  • An overview of statistical process control and control charting
  • The importance of detecting process changes on a timely basis
  • The effect of sample size on control chart sensitivity
  • Minimizing type II error (failing to detect changes)
  • Using operating characteristic (OC) curves
  • Selecting sample sizes and sampling frequency
  • The connection between sample size and the ability to detect process changes

Who Should Attend

  • Quality personnel
  • Manufacturing personnel
  • Lab personnel
  • Operations personnel
About Our Speaker(s)

Steven Wachs | Reliability Analysis SpeakerSteven Wachs
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.... More info

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    Event Title: Detecting Process Changes with Adequate Sample Sizes on Control Charts
    Presenter(s): Steven Wachs

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