Zero acceptance sampling can lower inspection costs without weakening customer protection. Inspection is necessary but adds no value; its job is to shield the customer from poor quality, so the goal is to inspect as little as possible while still meeting the customer's requirement.
Plans with an acceptance number of zero (c=0) need the smallest sample of any single, double, multiple or sequential plan. The trade-off is a higher producer's risk of rejecting lots at the acceptable quality level (AQL), so they fit best when quality is far better than the specified AQL.
This 90-minute webinar shows how to build c=0 plans that protect the customer as well as the matching ANSI/ASQ Z1.4 (formerly MIL-STD 105) plan, and includes an Excel spreadsheet that compares the two operating characteristic (OC) curves.
WHY SHOULD YOU ATTEND?
Inspecting more than you need costs time and money. This session shows quality professionals how to define c=0 plans with customer protection equal to the corresponding ANSI/ASQ Z1.4 plan, and how to present the evidence to win customer agreement.
It suits quality managers, inspectors, technicians, quality engineers and engineering departments.
AREA COVERED
- Using ANSI/ASQ Z1.4: defining a plan from inspection level, AQL and lot size
- Switching rules between normal, tightened and reduced inspection
- How double and multiple plans accept good lots and reject bad lots quickly to lower the average sample size
- Converting any ANSI/ASQ Z1.4 plan into a c=0 plan with equal or better protection at the rejectable quality level (RQL)
- Treating the nonconforming fraction with a 10% consumer's risk of acceptance as the RQL
- The trade-off: higher producer's risk at the AQL, and when a c=0 plan is appropriate
- Generating an OC curve that compares the c=0 plan with the original Z1.4 plan
- An Excel spreadsheet for the OC curve comparison that you can adapt to your own specification
LEARNING OBJECTIVES
- Define a sampling plan with ANSI/ASQ Z1.4 using inspection level, AQL and lot size
- Apply the switching rules between normal, tightened and reduced inspection
- Explain how double and multiple plans reduce the average sample size
- Convert a Z1.4 plan into a c=0 plan with equivalent protection at the RQL
- Judge when the higher producer's risk of a c=0 plan is acceptable
- Build an OC curve comparison to gain customer agreement for a c=0 plan
WHO WILL BENEFIT?
- Quality Managers
- Quality Inspectors
- Quality Technicians
- Quality Engineers
- Engineering Departments
Inspecting more than you need costs time and money. This session shows quality professionals how to define c=0 plans with customer protection equal to the corresponding ANSI/ASQ Z1.4 plan, and how to present the evidence to win customer agreement.
It suits quality managers, inspectors, technicians, quality engineers and engineering departments.
- Using ANSI/ASQ Z1.4: defining a plan from inspection level, AQL and lot size
- Switching rules between normal, tightened and reduced inspection
- How double and multiple plans accept good lots and reject bad lots quickly to lower the average sample size
- Converting any ANSI/ASQ Z1.4 plan into a c=0 plan with equal or better protection at the rejectable quality level (RQL)
- Treating the nonconforming fraction with a 10% consumer's risk of acceptance as the RQL
- The trade-off: higher producer's risk at the AQL, and when a c=0 plan is appropriate
- Generating an OC curve that compares the c=0 plan with the original Z1.4 plan
- An Excel spreadsheet for the OC curve comparison that you can adapt to your own specification
- Define a sampling plan with ANSI/ASQ Z1.4 using inspection level, AQL and lot size
- Apply the switching rules between normal, tightened and reduced inspection
- Explain how double and multiple plans reduce the average sample size
- Convert a Z1.4 plan into a c=0 plan with equivalent protection at the RQL
- Judge when the higher producer's risk of a c=0 plan is acceptable
- Build an OC curve comparison to gain customer agreement for a c=0 plan
- Quality Managers
- Quality Inspectors
- Quality Technicians
- Quality Engineers
- Engineering Departments
Speaker Profile
William A. Levinson
William A. Levinson, P.E., is the principal of Levinson Productivity Systems, P.C. He is an ASQ Fellow, Certified Quality Engineer, Quality Auditor, Quality Manager, Reliability Engineer, and Six Sigma Black Belt. He is also the author of several books on quality, productivity, and management, of which the most recent is The Expanded and Annotated My Life and Work: Henry Ford’s Universal Code for World-Class Success.
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