Fundamentals of Statistical Process Control

As competition for market share increases, so does the need to monitor processes and quality to ensure top-notch products. This hands-on seminar will provide you with the skills to apply and maintain statistical process control to assist your organization in the improvement of various processes to achieve higher percentage yield or higher quality products or services. Quality characteristics (process outputs to track), measurement systems, sampling strategies, types of control charts, construction of control charts, and control chart interpretation will be covered. The determination of the key process parameters and controlling them to provide consistent results will improve quality and lower costs, in particular, scrap and rework costs. Statistical theory and depth are kept to a minimum while you learn how to utilize the tools. Attendees will receive a copy of the Statistical Process Control Manual (SPC-3, 2nd Edition) by the Automotive Industries Action Group.

What Will You Learn

Upon completion of this seminar, you will be able to:
  • Describe the purpose and uses of SPC
  • Select the best measurement system to use for a specific application
  • Identify an appropriate process sampling strategy
  • Determine the basic type of control chart to use
  • Collect data and construct basic control charts
  • Interpret control chart results

Is This Course For You

Quality managers, engineers, and technicians, project engineers, manufacturing engineers, technical specialists and anyone with responsibility for product or process control who want to apply SPC in the workplace should attend this seminar. Individuals seeking to attain the Certified Quality Engineering status within the American Society for Quality will find this course particularly helpful.

Materials Provided

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Course Requirements

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  • Introduction
  • Viewpoints and Determinants of Quality
  • SPC: Part of a Product Quality System
    • SPC philosophy: prevention versus detection
    • Process control system
    • Causes of variation: common and special
    • Reactions to causes of variation
    • Requirements and specifications
    • Control charts: SPC tools
    • Benefits of SPC
    • SPC implementation process
  • Quality Characteristic Determination
    • Everything is a process
    • Process flowchart and functions
    • Quality characteristics generation -- intermediate/final; variable/attribute
    • Critical characteristics determination -- final customer requirements; subsequent process requirements
    • Process example
  • Quantification (measurement) of Quality
    • Types of characteristics -- variable; attribute
    • Methods of measurement and measurement systems
    • Measurement system capability
  • Sampling Strategy
    • Sample size
    • Sample frequency
    • Sample structure
  • Quality Planning Workshop
  • Basic Control Chart Types
    • Variable: X and R charts -- AIAG example; workshops
  • Basic Control Chart Types (continued)
    • workshops
    • process capability indices (Cp & Cpk)
  • Attribute
    • np chart - number defective -- AIAG example; workshops
    • c chart - number of defects -- AIAG example; workshops
  • Basic Chart Interpretation
    • Basic decision rules
    • Process responses -- jumps, steps, shifts; trends; cycles
  • Documented process changes