Wednesday 11 April 2012

Acceptance Sampling for Quality Control


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 IntelligenceModeling Online AuctionsStatistical 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).

For India Registration and pricing, please visit us at www.india.statistics.com.

Call: 020 66009116

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