Acceptance Sampling for Quality Control

Acceptance Sampling for Quality Control

This course covers standard batch sampling plans for manufactured products, and their statistical behavior.

$589 | Enroll Now
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Overview

In today’s era of global supply chains, the path from raw materials to final product often takes place over multiple companies and across multiple continents. Acceptance sampling is key in the 21st century environment.

Acceptance sampling plans provide criteria and decision rules for determining whether to accept or reject a batch based on a sample. They are therefore widely used by manufacturers, suppliers, contractors and subcontractors, and service providers in a wide range of industries.

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.

Learning Outcomes

After successfully completing this course, you should be able to

  • Explain the rationale for sampling, vs. 100% inspection
  • Specify simple and multi-stage sampling plans
  • Specify sequential and rectifying sampling plans
  • Deal with both attribute data and measured data
  • Test data for normality
  • Perform transformations for non-normal data
  • Set specification limits
  • Specify performance metrics
  • Specify continuous sampling plans
  • Specify skip-lot sampling plans

Who Should Take This Course

This course will benefit quality engineers, 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 as well as university instructors of quality control courses can also benefit from this course.

Instructors

Dr. Riki Riechstien

Dr. Riki Riechstien is on the faculty at ORT Braude College, in Karmiel, Israel.  Her expertise and teaching experience is in quality assurance in biotechnology, statistical quality management, and probability and applied statistics.  

See Instructor Bio

Course Syllabus

Week 1

Sampling for Quality

  • Measures of batch quality
    • Popularity of pass/fail classification
  • Sampling vs. 100% inspection
  • Obtaining a representative sample
  • Producer vs. consumer perspective
  • Statistical distributions
    • Normal
    • Poisson

Week 2

Staged and Rectifying Plans for Attribute Data

  • Double stage sampling
  • Multiple stage sampling
  • Sequential sampling
  • Rectifying sampling

 

Week 3

Sampling Plans for Variables (Measurement Data)

  • Advantages of using measured data
  • Normality requirement
  • Transformations
  • Specification limits
  • Expected sample behavior

 

Week 4

Continuous Sampling Plans

  • Military and civilian plans
  • Rectifying vs. Non-Rectifying Plans
  • Skip-lot sampling plans

Class Dates

2021

No classes scheduled at this time.

2022

No classes scheduled at this time.

2023

No classes scheduled at this time.

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Prerequisites

Introductory Statistics

We assume you are versed in statistics or have the equivalent understanding of topics covered in our Statistics 1 and Statistics 2 courses. but do not require them as eligibility to enroll in this course. Please review the course description for each of our introductory statistics courses, estimate which best matches your level of understanding of the material covered in these courses, then take the short assessment test for that course. If you can not answer more than half of the questions correctly, we suggest you take our Statistics 1 and Statistics 2 courses prior to taking this course.

Introductory Statistics for College Credit

Introductory Statistics for College Credit

This course will teach you the equivalent of a semester course in introductory statistics.
Topic: Statistics, Introductory Statistics | Skill: Introductory | Credit Options: ACE, CEU
Class Start Dates: Nov 5, 2021, Jan 7, 2022, Feb 4, 2022, Mar 4, 2022, Apr 1, 2022, May 6, 2022

What Our Students Say​

Both the instructor and the teaching assistant were approachable, helpful, and knowledgeable about the subject matter, and provided constructive feedback about discussion board posts and assignment submissions. My textbook will even be a valuable resource for future projects.

Dennis Fuster
Kremers Urban Pharmaceuticals

This class was very interesting and practical. I learned how to structure experiments to be able to isolate the effects that the input variables have on the response variable. It was also interesting seeing the application of linear regression analysis in a little different way than I experienced in the linear regression class I took just before this. I appreciated the text and will keep it for reference.

Robert Wells
Director Business Intelligence' Adventist Healthcare

Frequently Asked Questions

Contact Us

Phone: +1 (571) 281-8817

Email: ourcourses@statistics.com

Mailing address:
The Institute for Statistics Education
2107 Wilson Blvd
Suite 850
Arlington, VA 22201

 

Do you provide custom training services?

We provide custom training services that can include, but is not limited to: 

  • Custom curriculum 
  • Custom courses and materials
  • Live training on-site
  • Live training via webinar
  • Special tuition pricing for multiple-student volume

Contact us to see how we can help you meet your training needs.

Can I transfer or withdraw from a course?

We have a flexible transfer and withdrawal policy that recognizes circumstances may arise to prevent you from taking a course as planned. You may transfer or withdraw from a course under certain conditions.

  • Students are entitled to a full refund if a course they are registered for is canceled.
  • You can transfer your tuition to another course at any time prior to the course start date or the drop date, however a transfer is not permitted after the drop date.
  • Withdrawals on or after the first day of class are entitled to a percentage refund of tuition.

Please see this page for more information.

How do I enroll in a course?

In most courses, you are able to register for any course until the course start date.

Once you decide which course you want to take, click the ‘Enroll Now’ button and follow the purchasing process. Once you have purchased the course, you are enrolled in the class date you have selected.

You will receive a personal email message confirming your registration in the course. A second email is sent to you three days before the course start date with instructions to access the course in our Learning Management System (LMS).

Please see our knowledge center for more information.

Are courses eligible for CEU?

Many of the courses at The Institute for Statistics Education have been recommended for C.E.U.’s, based on the length of the course (typically 5.0 CEUs for 4-week courses).

Visit our knowledge base and learn more.

FAQs + Knowledge Base

Related Courses

Mapping in R Course

Introduction to Design of Experiments

This course will teach you the application of DOE rather than statistical theory, and teaches full and fractional factorial designs, Plackett-Burman, Box-Behnken, Box-Wilson and Taguchi designs.
Topic: Analytics, Experimental Design | Skill: Introductory, Intermediate | Credit Options: CAP, CEU
Class Start Dates: Nov 19, 2021, Feb 11, 2022, Aug 19, 2022

Additional Course Information

Organization of Course

This course takes place online 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.

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.

Time Requirements

About 15 hours per week, at times of your choosing.

Homework

Homework in this course consists of short answer questions to test concepts and guided data analysis problems using software.

Course Text

The required text is Practical Acceptance Sampling by Dr. Galit Shmueli.

Please order a copy of your course textbook prior to course start date.

Software

Methods are illustrated using Microsoft Excel, online calculators, and SQCOnline.com.

Course Fee & Information

Enrollment
Courses may fill up at any time and registrations are processed in the order in which they are received. Your registration will be confirmed for the first available course date unless you specify otherwise.

Transfers and Withdrawals
We have flexible policies to transfer to another course or withdraw if necessary.

Group Rates
Contact us to get information on group rates.

Discounts
Academic affiliation?  In most courses you are eligible for a discount at checkout.

New to Statistics.com?  Click here for a special introductory discount code.

Invoice or Purchase Order
Add $50 service fee if you require a prior invoice, or if you need to submit a purchase order or voucher, pay by wire transfer or EFT, or refund and reprocess a prior payment.

Options for Credit and Recognition

CEUs and Proof of Completion
If you require a “Record of Course Completion” along with professional development credit in the form of Continuing Education Units (CEU’s), upon successfully completing the course, CEU’s and a record of course completion will be issued by The Institute upon your request.

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Acceptance Sampling for Quality Control
$589 | Enroll Now
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