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Acceptance Sampling for Quality Control

taught by Galit Shmueli


Brief Description:

This course will cover acceptance sampling to determine whether to accept or reject a particular lot of a product -- how to determine sample size, and how make accept/reject decisions.

Instructor(s):
Level: intermediate

Who Should Take This Course:

This course will benefit quality engineers and, quality inspectors and other quality control personnel who employ or supervise inspection plans at their organization, as well as quality assurance staff in charge of setting quality standards. Six Sigma black belts and trainers can also benefit from this course.

Dates:
April 19, 2013 to May 17, 2013
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Acceptance Sampling for Quality Control

taught by Galit Shmueli

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Please read the syllabus tab, noting the prerequisites, text and software requirements.

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Acceptance Sampling for Quality Control

taught by Galit Shmueli



Aim of Course:

Sampling plans are used in industry world-wide as a means of assisting quality assurance personnel to decide whether to accept or reject lots of products presented for inspection. Many organizations require the use of ISO standards for assuring the quality of incoming (or outgoing) batches of goods. The standards provide inspectors with information on the size of sample to be selected and a set of rules and procedures, which enables the inspector, having examined the sample, to decide on the acceptance or rejection of the lot. Based on statistical principles, sampling standards provide organisations with an effective and cost efficient means of selecting sample sizes and devising sampling plans.

In this course, participants will become familiar with popular sampling inspection plans for attribute data, measurement data, and continuous processes. They will understand the statistical logic behind ISO inspection plans and learn how to use the standards, and how to choose and employ such plans judiciously. The course will also introduce participants to a convenient interactive Web resource for obtaining standard inspection plans.

This course is a core requirement or elective in the following Program(s) in Analytics and Statistical Studies (PASS):

Prerequisite(s):

If you are unclear as to whether you have mastered the requirements, try these placement tests here.


Course Program:

SESSION 1: Introduction to Acceptance Sampling, and Single-stage Plans for Attribute Data

  • Acceptance Sampling terminology
    • Acceptable Quality Level (AQL)
    • Lot Tolerance Percent Defective (LTPD)
    • Probability of Acceptance
    • Producer and consumer risks
    • Sampling plans parameters
  • Binomial and Hypergeometric distribution computations
  • Single-stage plans for pass/fail data
    • Operating Characteristics (OC) Curve
    • Effects of sample size and rejection criteria
    • Using ISO 2859 (ANSI/ASQC Z1.4, Mil-Std 105) Tables
    • Using interactive plans (www.sqconline.com)
  • Single stage plans for multiple defects

SESSION 2: Double-stage Plans and Rectifying Plans for Attribute Data

  • Double-stage sampling plans
    • Average Sample Number (ASN)
    • Using ISO 2859 (ANSI/ASQC Z1.9, Mil-Std 414) Tables
    • Using SQCOnline interactive plans
  • Rectifying sampling palns for pass/fail data
    • Average outgoing quality (AOQ)
    • Average Total Inspection (ATI)
    • Single and double-stage plans

SESSION 3: Sampling Plans for Variables (Measurement Data)

  • Single and double specification limit
  • Probability of acceptance
  • k-Method and M-Method
  • Sigma known and unknown
  • Using ANSI/ASQC Z1.9 (Mil-Std 414) Tables
  • Using interactive plans (www.sqconline.com)

SESSION 4: Continuous Sampling Plans

  • Sampling frequency and clearance number
  • CSP-1 and CSP-2 plans
  • Rectifying and non-rectifying plans
  • Average Outgoing Quality Limit (AOQL)
  • Average Fraction Inspection (AFI)
  • Using Mil-Std 1235C Tables and interactive plans (www.sqconline.com)
  • Skip-lot sampling
Homework:
Homework in this course consists of short answer questions to test concepts and guided data analysis problems using software.

Organization of the Course:

This course takes place over the internet at the Institute for 4 weeks. During each course week, you participate at times of your own choosing - there are no set times when you must be online. Course participants will be given access to a private discussion board. In class discussions led by the instructor, you can post questions, seek clarification, and interact with your fellow students and the instructor.

The course typically requires 15 hours per week. At the beginning of each week, you receive the relevant material, in addition to answers to exercises from the previous session. During the week, you are expected to go over the course materials, work through exercises, and submit answers. Discussion among participants is encouraged. The instructor will provide answers and comments, and at the end of the week, you will receive individual feedback on your homework answers.


Credit:
Students come to the Institute for a variety of reasons. As you begin the course, you will be asked to specify your category:
  1. You may be interested only in learning the material presented, and not be concerned with grades or a record of completion.
  2. You may be enrolled in PASS (Programs in Analytics and Statistical Studies) that requires demonstration of proficiency in the subject, in which case your work will be assessed for a grade.
  3. You may require a "Record of Course Completion," along with professional development credit in the form of Continuing Education Units (CEU's).  For those successfully completing the course, 5.0 CEU's and a record of course completion will be issued by The Institute, upon request.

Course Text:

The text, Practical Acceptance Sampling:  A Hands On Guide (2nd Edition) , is available both in both eBook format and print format at Amazon. 

Software:

The main software used will be the online tables and calculators at www.SQCOnline.com. Simple computations for the course can be handled using Microsoft Excel, or other general purpose statistical software. This course does not require the use of specialized software capabilities such as those found in Minitab, JMP and Statgraphics. Click here for a complete list of statistical software.

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Acceptance Sampling for Quality Control

taught by Galit Shmueli



Instructor(s):
Dates:
April 19, 2013 to May 17, 2013
Course Fee: $499
Academic Rate: $399

Before registering, please read the syllabus tab, noting the prerequisites, text and software requirements. When you click the register button, you will be taken to our secure transaction page.

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