Acceptance Sampling by Variables
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Many companies use attribute sampling plans at incoming, in-process, and final inspection. The common approach uses ANSI/ASQ Z1.4. There is an alternate, however, that may reduce cost. Sampling plans based on ANSI/ASQ Z1.9 can reduce cost by requiring smaller sample sizes.
Z1.9 uses measurements and their evaluation to make lot acceptance decisions. It looks complicated because the calculation techniques predate the common calculator. A simple statistical calculator eliminates the need for the seemingly involved calculations of the mean and standard deviation.
Z1.9 uses information more effectively. When an inspection operation converts variables to attributes, it looses information. Basing the inspection on variables uses the information more effectively and allows smaller sample sizes.
Z1.9 is an effective and efficient method for acceptance sampling that is easy to implement with a calculator or spreadsheet.
This webinar explains the methods in Z1.9 and shows how to use it in a more modern setting. Participants will learn the modern methods based on any simple statistical calculator that can provide the mean and standard deviation of a data set. Excel is also a good tool for this application.
Why should you Attend:One of the first requirements in this proactive effort is for today’s manufacturing executive teams to learn how to perform Design Reviews and Product Safety - Hazard Analysis Reviews in order to help identify and prevent the possibilities of launching a defective designed product. Almost every manufacturing company already feels they’re properly conducting design reviews, only to find that they’re not even coming close. And they don’t understand the difference between Design Reviews and Product Safety Reviews, nor did anyone probability ever receive formal training in Hazards Analysis and Risk Assessments.
Areas Covered in the Session:
- Understanding the issues of acceptance sampling
- Clarifying variables data vs. attributes data
- The three approaches to information
- Known variability
- Unknown variability using the range method
- Unknown variability using the standard deviation method
- Selecting the right approach
- Implementing an effective Z1.9 system
- Modern computation (the calculator) vs. the Z1.9 methods
- Reducing cost using Z1.9
Who Will Benefit:
This seminar is for people in manufacturing who are involved in setting product specifications, establishing acceptance plans, performing acceptance activities, and managing the supply chain. Attendees should have knowledge of manufacturing process that includes acceptance activities such as incoming, in-process, and final acceptance. Roles and jobs that will benefit include:
- Quality Engineers
- Production and Process Engineers
- Manufacturing Engineers
- Design Engineers
- Purchasing Managers
- Quality Managers
- Supplier Quality Engineers
- Quality Supervisors
- Quality Inspectors
Dan 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.