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297-What Every Engineer Should Know About Statistical Process/Quality Control I

By: O. Geoffrey Okogbaa, Ph.D., PE

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Course Objective

This continuing education course is written specifically for professional engineers with the objective of relating to and enhancing the practice of engineering.

Course Description

297-What Every Engineer Should Know About Statistical Process/Quality Control I

The American National Standards Institute (ANSI) defines Quality Assurance (QA) as "All of those planned or systematic actions necessary to provide adequate confidence that an item will perform satisfactorily in service". A more operational definition of quality is the one that defines as: "Fitness for Use" This points to the inescapable fact that it is the customer rather the producer or manufacturer that determines what quality is or should be.

There is a tendency to think of quality as a recent development or phenomenon. However, the basic idea of making a quality product with high degree of uniformity has been around for as long as man has made a product the idea that statistics may be instrumental in assuring the quality of manufactured products goes as far back as the advent of modern production. The widespread use of statistical methods in problems of quality control is even more recent. Many problems encountered in the manufacturing or of product and services and the associated supply chains exhibit process characteristics and as such are amenable to statistical treatment or analysis. Statistical Process/Quality control refer to three special techniques:

  • Process/Qualitycontrol,
  • Acceptance control,
  • Parameter design and the establishment of tolerances.

The course places emphases on the significance of process control rather than inspection as a means of reducing rework and nonconformance. Many experts agree that inspection (especially human inspection) does not add value to quality and thus is a necessary but non-value adding activity.

This first in a two-course sequence will focus on Process/Quality control with emphasis on:

  • Historical review of Statistical Process/Quality Control
  • Cost of Quality (Cost of Poor Quality)
  • Quality Auditing Process
  • The difference between Quality of Design and Quality of conformance
  • Differences and similarities between SQC and SPC
  • Total Quality Management (TQM)
  • The Three Gurus of TQM
  • Lean Six Sigma
  • Off-line Control and On-Line Control
  • Shewhart Control Charts--Interpreting Shewhart Control Charts
  • Process Capability Evaluation

The second course will focus on acceptance sampling and will explore some of the Military and Commercial Standards that have been developed to aid acceptance control.

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Course Code: 100262-07
Course PDH Hours: 5
Engineering Course Approvals
  • This course is accepted for engineering continuing education credit in all states.
  • Ohio rules allow only 6-hours of unsupervised online courses such as this course per license renewal period

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