Statistical Process Control Training

Commitment 3 Days, 7-8 hours a day.
Language English
User Ratings Average User Rating 4.8 See what learners said
Delivery Options Instructor-Led Onsite, Online, and Classroom Live


Statistical Process Control Training course that presents the essential elements of an effective Statistical Process Control program. The course focuses on understanding the basics, identifying objectives, SPC implementation, and realizing the benefits this magnificent process management system offers. This Statistical Process Control course develops and presents a results-oriented roadmap for implementing an effective Statistical Process Control program.

  • 3 days of Statistical Process Control Training with an expert instructor
  • Statistical Process Control Electronic Course Guide
  • Certificate of Completion
  • 100% Satisfaction Guarantee



Upon completing this Statistical Process Control Training course, learners will be able to meet these objectives:

  • Develop an effective Statistical Process Control system.
  • Objectively identify Statistical Process Control opportunities.
  • Work together to implement and improve your Statistical Process Control program.
  • We can adapt this Statistical Process Control course to your group’s background and work requirements at little to no added cost.
  • If you are familiar with some aspects of this Statistical Process Control course, we can omit or shorten their discussion.
  • We can adjust the emphasis placed on the various topics or build the Statistical Process Control course around the mix of technologies of interest to you (including technologies other than those included in this outline).
  • If your background is nontechnical, we can exclude the more technical topics, include the topics that may be of special interest to you (e.g., as a manager or policy-maker), and present the Statistical Process Control Training course in a manner understandable to lay audiences.

The target audience for this Statistical Process Control Training course:

  • All

The knowledge and skills that a learner must have before attending this Statistical Process Control Training course are:

  • While there are no formal course prerequisites, this Systems Engineering course assumes a couple of years of prior experience in designing and building systems, large or small.


Day 1:  Course Overview and Introductory Concepts
  • Course Overview
    • Course outline
    • Introductions
  • The Industrial Revolution
    • Mass production
    • Division of labor
    • Taylorism
    • Typical engineering drawing and specification practices
    • Engineering tolerances historical contexts
    • Typical engineering drawing tolerance responsibilities
  • Manufacturing Processes
    • Process capabilities
    • Process capability versus engineering tolerances
  • Deterministic versus Probabilistic Thinking
    • Typical test and inspection approaches
    • Typical build-and-inspect approaches
    • The psychology of inspection
    • Product quality responsibilities
    • The sampling approach and its pitfalls
    • Detection versus prevention management philosophies
    • Driving blindfolded
  • Introduction to Statistics and Probability
    • The nature of variability
    • Shewhart’s formative work
    • Frequency distributions
    • Histograms
    • The normal curve, means, and standard deviations
    • Normal curve mathematics
    • Averages of averages and the central limit theorem
  • Statistical Process Control
    • SPC Overview
    • SPC basic concepts
    • SPC control in World War II
    • The US rejection of SPC after World II
    • Japan’s SPC acceptance after World War II
    • SPC success stories
    • Placing product quality responsibility in the operator’s hands
  • Statistical Process Control Concepts
    • Inspection shortfalls
    • Attributes versus variables data
    • Placing quality responsibility in the hands of the operator
    • xbar:r charts
    • SPC capabilities
    • Class exercise
Day 2:  SPC Implementation
  • Training
    • Management training
    • Supervisor training
    • Operator training
  • Selecting Processes for SPC application
    • Variables data opportunities
    • Optimizing early successes
    • Defining the process
    • Flowcharting
    • Assessing existing test and inspection points
    • Selecting critical characteristics for SPC application
    • Identifying critical dimensions
    • Identifying sources of variability
    • Ishikawa charts
    • Minimizing variability
    • Case study
    • Class exercises
  • Gathering SPC Preliminary Data
    • Collecting data for establishing upper and lower control limits
    • Calculating upper and lower control limits
    • Defining subgroups and calculating averages
    • Class exercise
  • Preparing, Maintaining, and Using Charts
    • xbar:r charts
    • Typical xbar:r charts required information
    • Collecting individual data points
    • Calculating average values
    • Finding the range
    • Defining nominal and upper and lower control limits
    • Plotting averages, ranges, and the grand average
    • Finding the standard deviation
    • Using Excel to simplify xbar:r calculations
    • Finding the average range
    • Finding upper and lower control limits for the range
    • Simplified approaches for determining upper and lower control limits
    • Class exercises
  • p-Charts
    • Attributes data applicability
    • Converting attributes data to variables data
    • The nature of p
    • Finding the average p
    • Finding p upper and lower control limits
    • Using the average p and upper and lower control limits to create a p chart
    • Class exercises
Day 3:  Putting SPC To Work For Your Organization
  • Using SPC Charts
    • Plotting process data on SPC charts
    • Noting process changes
    • Identifying trends
    • Shifting responsibility to the operator
    • Class exercise
  • SPC Trend Analysis
    • No trend
    • Subgroup averages trending upward or downward
    • Multiple points above or below the average
    • Cyclical patterns
    • Range changes
    • Calling for help when trends are recognized
    • Class exercise
  • SPC Implementation Challenges
    • Resistance to change
    • Inspector job security
    • Seeking input from the affected personnel
    • Selecting initial SPC implementation points
    • Maintaining momentum
    • Publicizing success
  • Course Review and Wrap-Up
    • Wrap-up.
    • A suggested Statistical Process Control implementation roadmap.
    • Course critique.
Statistical Process Control TrainingStatistical Process Control Training Course Wrap-Up


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