Understanding Attribute Acceptance Sampling including Z1.4 and c=0 Plans

Instructor: Daniel O Leary
Product ID: 701388
Training Level: Intermediate
  • Duration: 60 Min

recorded version

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Read Frequently Asked Questions

This Webinar/training provides a solid understanding of attribute acceptance sampling by explaining its statistical basis and the two common approaches in use, Z1.4 and c=0 (often called ZBA) plans.

This course provides the attendees with the tools needed to understand and implement acceptance sampling. We explain the basis for sampling plans, the binomial distribution, and show how it helps us understand the sampling plan’s performance using the operating characteristic (OC) curve. Participants will gain a solid understanding of how the OC curve is built, how to use it, and how to identify some of the most important points on the curve, including the AQL and RQL points.

The course also provides complete descriptions of three other important curves that help you understand a sampling plan. The average sample number (ASN) helps you predict the number of samples you will take. The average outgoing quality (AOQ) helps you foresee the results if you inspect rejected lots. The average total inspected (ATI) helps you calculate how many items you will inspect including rejected lots.

We will discuss the following issues:

  • How to use the sampling tables to determine the sampling plan.
  • Ways to avoid common errors and misunderstandings with the sampling tables.
  • The difference between single, double, and multiple sampling plans.
  • Why double sampling plans are the most economical choice.
  • The reasons for the switching rules between normal, reduced, and tightened.
  • The use of the switching rules to help improve your supplier management program.
  • How the switching rules can help you reduce inspection cost.
  • How to use the c=0 plans instead of Z1.4 plans.
  • The basis for the plans using the RQL point.
  • The differences in the OC curves and why they can cause problems.
  • How a change from Z1.4 to c=0 can impact your inventory and disrupt your suppliers.

Areas Covered in the seminar:

  • Sampling concepts.
    • With or without replacement
    • Simple or stratified sampling
  • The binomial distribution.
    • Possible outcomes and Bernoulli trials
    • The binomial formula and what it means and The cumulative binomial
  • Sampling plans.
    • The AQL concept.
    • The ideal OC curve, The practical OC curve, Reading risk off the OC curve
    • Special points on the practical OC curve.
      • The AQL point, The IQL point, The RQL point
  • Characterizing sampling plans.
    • Using rectifying inspection
    • The four important curves
      • The OC curve, The ASN curve, The AOQ curve, The ATI curve
  • Z1.4 Plans.
    • Setting up the plan
      • Selecting the Level , Selecting the AQL, Knowing the lot size
    • Selecting single, double, or normal plans
    • Cost analysis for single v. double plans
    • Switching rules
      • When to switch
      • Why reduced inspection lowers cost
      • How tightened inspection can help improve supplier performance
  • c=0 plans
    • How they are matched to Z1.4 plans
      • The RQL point is the key
      • Making the curves cross at one point
      • How to employ switching rules
    • The OC curve
    • Consequences of moving from Z1.4 to c=0
      • Inventory management and stock-outs
      • Supplier management and performance metrics

Who will benefit:

This seminar is designed for people in manufacturing who are involved in setting product specifications, setting up acceptance plans, performing acceptance activities, and supply chain management. Attendees should have knowledge of manufacturing process that includes acceptance activities such as incoming, in-process, and final acceptance. This typically includes:
  • Quality Engineers
  • Production and Process Engineers
  • Manufacturing Engineers
  • Design Engineers
  • Purchasing Managers
  • Purchasing Agents
  • Supplier Quality Engineers
  • Quality Supervisors
  • Quality Inspectors
  • Quality Managers

Instructor Profile:
Daniel O'Leary, is the President of Ombu Enterprises, LLC, a company offering training and execution in Operational Excellence, focused on analytic skills and a systems approach to operations management. Dan has more than 30 years experience in quality, operations, and program management in regulated industries including aviation, defense, medical devices, and clinical labs. He has a Masters Degree in Mathematics; is an ASQ certified Biomedical Auditor, Quality Auditor, Quality Engineer, Reliability Engineer, and Six Sigma Black Belt; and is certified by APICS in Resource Management.

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