Validating sampling plans ronald lee vancouver dating
He has worked as a statistician at Ford Motor Company where he has extensive experience in the development of statistical models, reliability analysis, designed experimentation, and statistical process control. Wachs is currently a Principal Statistician at Integral Concepts, Inc.where he assists manufacturers in the application of statistical methods to reduce variation and improve quality and productivity. in Applied Statistics from the University of Michigan, an M. A, Katz Graduate School of Business from the University of Pittsburgh, 1992, and a B.Let’s say you’re preparing to conduct a process validation study of a medical device manufacturing process.After performing Installation Qualification and Operational Qualification, you’re ready to take on Performance Qualification, which consists of two parts: · Process Performance Qualification – demonstrating that each individual manufacturing process (e.g., welding, surface coating) consistently produces a subassembly or component that meets its process specification (e.g., tensile force, lubricity).This webinar will provide details regarding the generation of sampling plans that meet the desired statistical properties.Participants will be able to understand the key inputs and issues involved in determining acceptance sampling plans.
It is essential to prioritize consumer risk by ensuring that you only compare sampling plans with equivalent LTPDs.
He also possesses expertise in the application of reliability methods to achieve robust and reliable products as well as estimate and reduce warranty. Wachs regularly speaks at industry conferences and provides workshops in industrial statistical methods worldwide. S., Mechanical Engineering from the University of Michigan.
Applying Statistical Process Control Effectively Estimating Reliability Performance with Accelerated Life Tests Predicting Product Lifetimes Using Reliability Analysis Methods Predicting Warranty Expense Using Reliability Analysis Methods Statistical Hypothesis Tests: Concepts and Applications Refund Policy Registrants may cancel up to two working days prior to the course start date and will receive a letter of credit to be used towards a future course up to one year from date of issuance.
Most engineers choose the smallest sample size possible without considering whether their manufacturing processes can meet the requirements of the sampling plan.
Many times, this is the root cause of failing to meet acceptance criteria in validation studies.