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.

Questions about this course? Email the Author: okogbaa@aol.com

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(4.8) 11 Reviews

Review of: What Every Engineer Should Know About Statistical Process/Quality Control I

Renae T

06/13/2024

Verified Buyer

Excellent overview and great application. Material and test questions were of appropriate difficulty and challenge.

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Review of: What Every Engineer Should Know About Statistical Process/Quality Control I

Susan Logan

02/28/2024

Verified Buyer

Excellent course. I have not had a statistics class, and this was very informative and well written.

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Review of: What Every Engineer Should Know About Statistical Process/Quality Control I

Hector Antonio Acosta

05/15/2022

Verified Buyer

Very hard course but a good challenge for engineers outside of the manufacturing field.

1 of 1 customers found this helpful.

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Review of: What Every Engineer Should Know About Statistical Process/Quality Control I

Martin Treuhaft

05/14/2022

Verified Buyer

Challenging. Difficult to follow some of the examples because information scattered through document. Nevertheless, glad I took thecourse

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Review of: What Every Engineer Should Know About Statistical Process/Quality Control I

David Bynon

04/14/2022

Verified Buyer

Good review. Questions made you think and closely review the material.

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Review of: What Every Engineer Should Know About Statistical Process/Quality Control I

James Kain

11/03/2021

Verified Buyer

Very well Organized and examples well presented.

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Review of: What Every Engineer Should Know About Statistical Process/Quality Control I

John Montague

05/24/2021

Verified Buyer

This is a challenging course. I liked the comparison Dr. Okogbaa provided in comparing the Gurus different approaches.

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

Samuel F Haffey

07/16/2020

Verified Buyer

This was useful . I got my 5 hours of CE and I actually learned something I'll apply in my work. I'm looking forward to the second course.

1 of 1 customers found this helpful.

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

Stacey

06/24/2020

There is an error in the practice worksheet that causes significant frustration in calcuating the answers for questions 25-30. . . .

Portions of the reviewers comments have been removed because they discuss the answers to test questions.

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

06/20/2020

Verified Buyer

Great review. Looking forward to more reviews to keep up the skills.

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

Michael Dicker

12/28/2019

Verified Buyer

This course was well written and easy to follow -- the test had a few challenges that required more thought, but in general, the material provided was more than adequate.

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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 US states, territories, the District of Columbia, and Canadian provinces.
Ohio rules allow only 6-hours of unsupervised online courses such as this course per license renewal period
Kansas rules allow only 5-hours of self-study courses such as this course per license renewal period

About Course Approvals