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345- What Every Engineer Should Know about Statistical Process/Quality Control II

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

This is a Spotlight Course of the Week (Expires: 2/22/2019)
345- What Every Engineer Should Know about Statistical Process/Quality Control II

 The focus of this course is to provide an understanding of the principles of Quality Assurance with a focus on Design for Robustness, Quality Loss, Loss Function Computation, and Acceptance control as well as current definitions, terminologies, inherent assumptions that are applicable in industry and as required by the US Government.  It also introduces the student to the relevant Military Standards and other Government publications used in the industry.  The course also further develops the concepts of system design, parameter design, and tolerance design, as the foundational elements of Robust Product Design. It also goes into a detailed analysis of the use of MIL-STAD-1916 and MIL-HDBK-1916 in establishing attribute-based Acceptance Sampling plans. The course is replete with numerical examples on the computation of the probability of acceptance (Pa) and other important parameters for single, double and multiple sampling plans including; the Average Outgoing Quality (AOQ), the Average Outgoing Quality Limit (AOQL), the Average Total Inspection (ATI), as well as the Average Sampling Number (ASN).  

The course is concept based and uses basic arithmetic to develop the fundamental aspects of the techniques.  The topics covered include:

 1.             Designing for Robustness

               System Design,  Parameter Design,  Tolerance Design

                Process Capability (Cp, Cpk) and Process Performance (Pp, Ppk)

                Process Errors, Quality Loss, and Loss Function

 2.             Acceptance Control

           Lot Acceptance Sampling Plans (LASP):

Single sampling plans (SSP), Double sampling plans (DSP), Multiple sampling plans (MSP), Sequential Sampling Plans (SSP), Skip Lot Sampling Plans (SLSP)

          Operating Characteristics Curves (OC Curves) , AOQ Curve

 3.             MIL- STD-1916 and MIL-HDBK-1916

             Requirements and Applicability of MIL-STD-1916 and MIL-SHDBK-1916

               Preferred sampling plans

               Determination of sampling plan: Verification Level (VL), Code Letter (CL)

               Sampling of lots or batches

               Disposition of nonconforming product

              

 

 

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Price: $35.95
Special Price Expires: 2/22/2019
Quantity:
New Course
Course Code: 100262-08
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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