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. This is covered in Dr. Galit Shmueli’s online course “Acceptance
Sampling for Quality Control”. For more detail please visit at http://www.statistics.com/sampleinspect.
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.
Dr. Galit Shmueli is the SRITNE Chaired
Professor of Data Analytics and Associate Professor of Statistics and
Information Systems at the Indian School of Business, Hyderabad. She is also
Associate Professor of Statistics in the department of Decision, Operations
& Information Technologies at the Smith School of Business, University of
Maryland. Dr. Shmueli's research has been published in the statistics,
information systems, and marketing literature; she is a co-author of Data
Mining for Business Intelligence, Modeling Online Auctions, Statistical
Methods in e-Commerce Research, and author of Practical Time Series
Forecasting and Practical Acceptance Sampling.
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.
Course Program:
Course outline: The course is structured as
follows
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
You will be able
to ask questions and exchange comments with the instructors via a private
discussion board throughout the course. The courses take place
online at statistics.com in a series of 4 weekly lessons and assignments, and
require about 15 hours/week. Participate at your own convenience; there
are no set times when you must be online. You have the flexibility to work a
bit every day, if that is your preference, or concentrate your work in just a
couple of days.
For Indian
participants statistics.com accepts registration for its courses at special
prices in Indian Rupees through its partner, the Center for eLearning and
Training (C-eLT), Pune (www.c-elt.com).
Email: info@c-elt.com
Call: 020 66009116
Websites:
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