Statistical Process Control
Ann W. Phillips

Why this Seminar?

Is your organization data rich and action poor?  This seminar teaches participants how to analyze data in a way that results in a clear understanding of the actions that need to be taken in order to reduce the variation in products and services.  This seminar describes how to determine the “natural variation” of a process or product characteristic, how to chart the data to maintain control of the process, how to interpret the chart, and how to respond to the data in order to reduce the variation.

Audience

Anyone interested in reducing the variation associated with product or service characteristics.  This seminar is appropriate for operators, managers, engineers, and quality professionals.

Learning Outcomes

Upon completion of this seminar, one will be able to:

·        Create the right environment to make SPC successful;

·        Understand the types of variation that occur in product (item and service) characteristics and the actions that are appropriate to minimize variation;

·       Apply specific techniques to analyze data, and take actions that are indicated by the analytical results:

·          Strategies to eliminate special cause variation;

·          Basic tools to minimize common cause variation;

·          X-bar and R charts to evaluate variables data;

·          P, np, c and u charts to evaluate attributes data.

·         Understand how to interpret what the charts are saying about the process;

·         Calculate the financial impact of quality improvements.

Outline

Implementing SPC in an Environment of Total Quality Management

·          Long-term vs. short-term thinking;

·          Creating loyal customers vs. meeting specifications;

·          Systems focus vs. individual performance;

·          Creating a team environment vs. individual competition;

·          Eliminating fear vs. creating fear;

·          Continual improvement vs. “If it isn’t broken, don’t fix it;”

·          Understanding variation vs. reacting on single points;

·          Decisions based on data vs. gut-feel decisions.

Understanding Variation

·          Special cause variation and actions to eliminate them;

·          Common cause variation and actions to minimize it.

Using Basic Quality Tools to Minimize Common Cause Variation

Setting Up the Chart

·          Establishing the right environment;

·          Defining the process;

·          Identifying characteristics to be controlled;

·          Defining the measurement system and understand its variation.

Control Charting for Variables Data

·          X Bar and R charts;

·          Individual and moving range charts;

·          Moving average and moving range charts;

·          Selecting the subgroup size

·          Creating the chart;

·          Interpreting the chart.

Control Charting for Attributes Data

      ·         p charts

      ·          np charts

      ·          c charts

      ·          u charts

Calculating the Financial Impact of Quality Improvements

Handouts

·   Copy of the visual aids
• Exercise materials
• Certificate of Completion, with Continuing Education Units

Click here to register for the "Statistical Process Control" Seminar

Click here for Ann W. Phillips' credentials