Many companies use attribute sampling plans at incoming, in-process, and final inspection. The common approach uses ANSI/ASQ Z1.4 or the Zero Acceptance Number plans. However, a company may reduce costs and improve decisions using ANSI/ASQ Z1.9 with its smaller sample sizes and reliance on actual data.
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 discards information. Basing the inspection on variables uses the information more effectively and allows smaller sample sizes.
Z1.9 is an efficient method for acceptance sampling that is easy to implement with a calculator or spreadsheet.
Objectives of the Presentation
Why Should you Attend
- Understanding the issues of acceptance sampling
- Clarifying variables data vs. attributes data
- Implementing an effective Z1.9 system
- Modern computation (the calculator) vs. the Z1.9 methods
- Reducing cost using Z1.9
If you are concerned that your inspection is too complicated and uses too many resources, then Z1.9 may be a viable alternate. Because of its history, it looks complicated. However, the standard uses methods for statistical calculations based on the slide-rule era. Modern tools, such as calculators and spreadsheets, simplify the method.
An inspection that takes actual measurements and converts them to attributes to use Z1.4 or similar methods is not efficient. Typically, the sample sizes are too large and the work to determine the value for the large sample size can be excessive.
Who can Benefit
This webinar 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