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J.H. Berk and Associates

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Industrial Statistics

Statistical analysis is a powerful tool for analyzing processes and product performance.  The subject can be intimidating, and for that reason do not use statistics in assessing process control and manufacturing performance.  Industrial Statistics is presented from a nonstatistician's perspective with an emphasis on how to use statistical concepts in a practical manner.

Industrial Statistics is a 16-hour program that provides participants with an in-depth understanding of how to:

  • Recognize and allow for the fundamental nature of variability.

  • Determine population means and standard deviations.

  • Develop a normal curve.

  • Recognize when distributions may not be normal.

  • Use statistical analysis to determine probabilities of occurrence based on different statistical tests.

  • Use ANOVA techniques to determine if variance is due to randomness or special causes.

  • Recognize when statistical process control might be an appropriate process control technique.

  • Implement statistical process control.

Materials

  • Industrial Statistics (approximately 200 presentation charts and related class materials), ManufacturingTraining Seminars.

Who Should Attend

Manufacturing managers, production supervisors, manufacturing engineers, industrial engineers, quality engineers, project engineers, and design engineers should attend this training.

Industrial Statistics Syllabus

  • Class 1:  Basic Statistical Concepts.   Probability.  Statistics.  Descriptive and predictive statistics.  The mean.  Standard deviations.  Bar charts and histograms.  The Pareto concept.  Sample applications.  Using Excel statistical features.  Class exercise.

  • Class 2:  Probability Concepts.  Correlating probability and standard deviations.  The z-test.  The t-test.  When z-tests and t-tests are appropriate.  Determining the likelihood that a sample is representative of the parent population.  Using Excel statistical features.  Class exercise.

  • Class 3:  Analysis of Variance.  Normal distributions and the nature of randomness.  Setting up an experiment to assess randomness and special causes.  The f-test.  Assumptions and perspectives inherent to analysis of variance.  Using Excel statistical features.  Class exercise.

  • Class 4: Taguchi Testing.  Taguchi applications background.  Orthogonality.  Selecting the appropriate orthogonal array.  Simplifying the Taguchi approach.  Sample applications.  Using Excel statistical features.  Class exercise.

  • Class 5:  Sampling Plans.  MIL-STD-105 and statistical sampling.  Risks inherent to statistical sampling.  Sample selection issues.  Reduced sampling concepts.  Consumer versus producer risk.  Using Excel statistical features. Creating an Operating Characteristic curve. 

  • Class 6:  Statistical Process Control.  Statistical process control history.  Xbar-r, np, and other statistical process control charts.  Identifying statistical process control application points.   Statistical process control implementation steps.  Overcoming organizational resistance to statistical process control implementation.  Class exercise.  Course review.  Final examination.
 

The above training can be customized to meet your requirements.

Need a guest speaker for an important luncheon or dinner meeting?  Please contact us.

Any questions?  Please call us at 909 204 9984 or contact us via e-mail.
An unending focus on cost reduction is what makes businesses survive and thrive in good times and bad.  Our newest book, Cost Reduction and Optimization for Manufacturing and Industrial Companies, was published in January 2009 by Scrivener Publishing and Wiley.  This is a hands-on, no baloney, rapid road map approach for any organization interested in identifying and acting on cost reduction opportunities.  The book focuses on design, process, supplier, and overhead areas.   In addition to providing roadmaps in each area, this book identifies the risks (and actions to control risk) for each recommendation. As an added feature, Excel templates for the quantitative assessment techniques included with this book can be downloaded here.  (If you need help with this template, just give us a call at 909 204 9984.)
One of our key training areas (and the one we built the business on) is failure analysis.  We know what it's like when recurring failures add cost to the operation and you have to find the right fix quickly.   We also know what it's like when a failure shuts the operation down or prevents clients from using your product.  

ASM International published our latest work, Systems Failure Analysis, in December 2009, and you can order a copy here.  This is a great book based on actual experience in manufacturing environments, with a focus on finding and fixing root causes of complex systems failures.   Our Failure Analysis and Root Cause Analysis training programs use the approaches and technologies described in Systems Failure Analysis because they work, as many satisfied clients will attest.

Quality Management for the Technology Sector focuses on implementing quality management techniques with proven track records.  This 1-day seminar focuses on quality measurement, root cause corrective action techniques (including FMEA, FTA, and SFA), defining customer expectations (including QFD), using statistical techniques (including SPC and DOE), supplier teaming, and the latest quality standards (including ISO 9001:2000).  The program is based on Quality Management for the Technology Sector (Butterworth-Heinemann, 2002), our hands-on, practical guide to implementing effective quality management tools.

I would highly recommend this book not just to quality assurance professionals, but to professionals in all disciplines. - John W. Gozza, Quality Assurance Manager, Composite Structures LLC

Have a new management assignment, or know someone who recently was promoted into one?  Check out our book that provides guidance for new managers, A Handbook for First Time Managers.

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