Course Catalog

Process Capability: What It Is and How To Achieve It

Master an understanding of process capability and related topics to manage your existing processes and guide the development of your new processes and products. Through a combination of lectures and problem-solving sessions, this course teaches process capability concepts that can be put to immediate use in the workplace. Participants will learn how to characterize processes in terms of their capability of consistently providing in-spec product, to recognize the importance of measurement uncertainty, to understand the statistical terms and concepts associated with process capability, and more.

Course Details

Key Topics

  • How to define process capability
  • How to listen to the voice of the customer
  • How to listen to the voice of the process
  • How to combine the voices of the customer and process
  • How to interpret the fundamental statistics zL and zU
  • How to interpret the specified tolerance
  • How to interpret the process capability ratio, Cp
  • How to interpret the centered process capability ratio, Cpk/sub>
  • How to interpret six-sigma quality
  • How to define the specified tolerance, Cp, Cpk, and six-sigma in terms of zL and zU
  • Why measurement variability is so important in process capability studies
  • How to estimate measurement variability
  • How to separate true process variability from apparent process variability to understand the true capability of a process
  • Why setting specifications based on fitness for use is fundamental
  • How to understand the two types of serious risk associated with setting specifications based on historical data

Information

Master an understanding of process capability and related topics to manage your existing processes and guide the development of your new processes and products. Through a combination of lectures and problem-solving sessions, this course teaches process capability concepts that can be put to immediate use in the workplace. Participants will learn how to characterize processes in terms of their capability of consistently providing in-spec product, to recognize the importance of measurement uncertainty, to understand the statistical terms and concepts associated with process capability, and more.

Who Should Attend

CEOs, CFOs, vice presidents, project managers, R&D managers, manufacturing managers, production managers, laboratory managers, scientists, engineers, technicians, and others who need to understand the fundamental relationship between process capability and business success.

This course assumes no previous knowledge of statistics and is aimed at both beginning and experienced workers. Each participant should bring a hand-held calculator to the course.

Through a combination of lectures and problem-solving sessions, you will learn process capability techniques that you can put to immediate use in the workplace.

Benefits

  • Consult with seasoned experts about your process capability questions
  • Gain confidence in your ability to measure process capability
  • Enhance your understanding of the capability of your processes
  • Improve your decision-making abilities
  • Learn new ways to look at your processes
  • Reduce the amount of time required to develop a capable process
  • Understand the statistical terminology of process capability and be able to communicate more easily with other workers

Agenda

  • Defining process capability
  • The voice of the process — the mean and standard deviation
  • The voice of the customer — specifications
  • Combining the voices of the customer and process
  • Simple review of Gaussian statistics
  • Interpreting z values
  • Interpreting fractional areas under the Gaussian curve
  • Defining and measuring zL
  • Defining and measuring zU
  • Defining the specified tolerance
  • Defining the process capability ratio, Cp
  • Defining the centered process capability ratio, Cp
  • Defining six-sigma quality
  • Understanding the implications of statistical multiplicity
  • Understanding the importance of the measurement process
  • Understanding the implications of measurement variability on apparent process variability
  • Goals for setting the required maximum measurement variability
  • Contrasting the “continual improvement” approach with the “conformance to specifications” approach
  • Problem solving session
  • Setting specifications based on fitness for use
  • Setting specifications based on historical data
  • Setting specifications based on statistical process control limits
  • Understanding the risk to the producer
  • Understanding the risk to the customer
  • Questions and discussions

Course Locations

Date

TBA

Check-in opens at 7:30 a.m. on the first day of the course.

Course runs from 8:30 a.m. to 5:00 p.m. each day.

Register Via Mail

Venue


Pricing
  Member Non-Member
Advanced $795 $995
Standard $1,095 $1,295

The course fee includes a course binder and a continental breakfast each day.

Five for Four! Register five people for one course, one person for five courses, or any combination in between and your fifth registration is free. Note: This discount is only available if you register by fax, mail or phone and mention this discount. This discount may not be combined with any other offer.

About the Instructors

  • Stephen L. Morgan

    is a Professor in the Department of Chemistry & Biochemistry at the University of South Carolina (Columbia, SC). He has has coauthored 120 papers and four books, including Experimental Design: A Chemometric Approach (1993) and Sequential Simplex Optimization for Quality & Productivity in Research, Development, and Manufacturing (1991).

  • Stanley N. Deming

    is Professor Emeritus of Chemistry at the University of Houston, Houston, Texas.