Training Doyens

I wanted to make sure that you do not miss the opportunity to get some exclusive knowledge aboutthe ANSI/ASQ Z1.9 (formerly MIL STD 414) standard for acceptance sampling by variables. Attend the webinar to know how it uses the sample statistics to determine whether a production lot, or incoming lot, should be accepted or rejected. LEARNING OBJECTIVES This webinar will equip attendees to understand and apply the ANSI/ASQ Z1.9 (formerly MIL STD 414) standard for acceptance sampling by variables (real number data), along with vital considerations such as the need to test the measurements for conformance to the normal (bell curve) distribution. Acceptance Sampling Problem WHO WILL BENEFIT Quality engineers, technicians, and inspectors who use ANSI/ASQ Z1.9 (formerly MIL-STD 414) About the Speaker: William Levinson is the principal of Levinson Productivity Systems, P.C. He is an ASQ Fellow, Certified Quality Engineer, Quality Auditor, Quality Manager, Reliability Engine...

OVERVIEW ANSI/ASQ Z1.9 (formerly MIL STD 414) uses sample statistics to determine whether a production lot, or incoming lot, should be accepted or rejected. These statistics also allow estimation of the nonconforming fraction at each specification limit. Attendees will learn how to define a sample plan on the basis of (1) the lot size, (2) the inspection level, and (3) the acceptable quality limit (AQL). ANSI/ASQ Z1.9 can be used for single specification limits, two-sided specification limits, and even two-sided limits with different AQLs. Attendees will learn everything they need to know to address all three of these applications. Switching rules meanwhile dictate normal, tightened, or reduced inspection according to production performance. Poor quality results in tightened inspection, while a consistent history of good quality and consistent production conditions allows reduced inspection. In addition, if the process is under control and its standard deviation is known, a c...