Basic Statistical Techniques


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Overview

This course is designed to provide participants with the statistical tools needed to drive improvement of business processes throughout the entire organization. Participants will learn how to select the most appropriate statistical tool, and then will have an opportunity to implement SPC within their own jobs.

Approach

Held in a workshop format, this 4-day course is designed to teach participants the application of basic statistical process control techniques. The focus of this workshop is to enable participants to stabilize and to achieve improvements in the output of processes. Unlike typical SPC courses that only teach control charting techniques, this workshop enables participants to learn how to actually achieve measurable gains in the output of their processes. The intent is to significantly reduce the process variation and to improve quality.

Participants will learn through lecture, class discussions, class exercises, case studies and team breakouts. This workshop is often greatly enhanced by the inclusion of real-life company data (for in-house courses). Participants have the opportunity to apply SPC tools to a number of actual plant or office situations. It can also be customized to be spread out over a number of weeks—to enable participants to practice the application of the techniques.

SatiStar’s experts can follow-up this training with on-site consultants to ensure that the use of the tools is applied effectively.

What You Will Learn

Introduction:

  • Hierarchy of statistical techniques
  • history of statistical quality control
  • Viewing business processes as a system
  • Taguchi’s economic loss curve
  • Shewhart’s concept of a process
  • Two types of variation (Shewhart / Deming)
  • Dr. Deming’s 14 Points

Simple quality improvement tools

  • Overview of simple statistical tools for quality improvement

Fundamental concepts of statistical improvement

  • Stability / Capability
  • Deming Responsibility Assignment Matrix

Process improvement using statistical methods

  • Process improvement process

Process analysis techniques

  • Run charts
  • Histograms

Using control charts for process improvement

  • The normal distribution
    • Mean, standard deviation
  • Variables vs. attributes data
  • Central Limit Theorem
    • Sigma of the averages vs sigma of the individuals
  • How the control chart works
    • Two types of errors
  • The types of control charts

The Xbar, R charts

  • Why 2 charts? (Performance vs. variability)
  • PFD on how to create the Xbar, R charts
  • Rational subgrouping
    • Subgroup order
    • Subgroup size
  • Tests for Out-of-control signals
    • Out of control limits
    • Length of run
    • Trends
    • Number of runs

Process Capability Other variables control charts

  • Median charts
  • Moving average, moving range charts
    • Supplementary line charts
  • Individuals, moving range charts
  • Control charts for unstable processes
    • Autocorrelation
    • Trend
    • Seasonality

Adjusting Processes (Funnel experiment) attributes control charts

  • np charts
  • p charts
  • c charts
  • u charts

Measurement system analysis

  • Accuracy vs. precision
  • Measurement system capability index

Training Outcomes

This course is primarily targeted at manufacturing, engineering, maintenance, technical, quality, management, and other support staff. Other people who may consider attending include sales and customer support personnel.

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Training Overview

Our Courses

Manufacturing Control Systems

Quality & Environmental Systems

Strategy & Execution

Improvement Tool Kit

Presentation & Leadership Skills

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  • . . . worked extremely well with the departmental and site managers . . . goal oriented and met the objectives set within the quoted budget and ensured the results were attained for the Company.

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