Understanding Single Sampling Attributes Acceptance Sampling for Defectives. Going beyond ANSI Z1.4 and ISO 2859
Instructor:
John F Haury, Ph.D,CQE,CQM
Product ID: 701055
- Duration: 90 Min
This training will answer all your questions about acceptance sampling for defectives. The international standards will not be use the in this class. In this brief but intense class you will learn:
- How Single Sample Plans work.
- How sample sizes and acceptance number impact your ability to detect defectives.
- To take a risk-based approach to choose sampling plans.
- How you can set up your own statistically valid plans.
- To understand the probabilities involved in acceptance sampling (single sampling plans).
- About operating curves for such plans including AQL and RQL for manufacturer and customer protection.
- How to establish and justify confidence statements on the quality of your processes based on validation studies and/or historical data.
Areas Covered in the seminar:
This knowledge will help you to save resources by taking smaller samples that required by the ANSI and ISO standards How Single Sample Plans work
- How sample sizes and acceptance number impact your ability to detect defectives.
- To take a risk-based approach to choose sampling plans.
- How you can set up your own statistically valid plans.
- To understand the probabilities involved in acceptance sampling (single sampling plans).
- About operating curves for such plans including AQL and RQL for manufacturer and customer protection.
- How to establish and justify confidence statements on the quality of your processes based on validation studies and/or historical data.
Who will benefit:
This program is specially designed for personnel in:
- Aerospace
- Medical Device
- Pharmaceutical and Biotechnology industries with daily responsibilities in the Quality Assurance
- Regulatory Affairs
- Compliance Auditing
- Validation
- Manufacturing
- Consultants
- Training
- Quality Control
- Product Submission
John F Haury, Ph.D, CQE, CQM joined PQC Consulting, Inc. as Sr. Consultant specializing in statistical analysis. His professional expertise includes sampling for improving measurement systems, sampling for process control (SPC) and data analysis for capability improvement and error reduction. Dr. Haury is also an expert in design and analysis of experiments, the single most effective and efficient method for breakthrough improvements in quality, cost reduction and through-put.
Dr. Haury started his career at Heinz Foods as a research scientist where he developed a low-calorie French fry for Ore-Ida Foods (a subsidiary of Heinz). He earned certifications from American Society for Quality as a Quality Engineer (CQE) with emphasis in statistics, and as Quality Manager (CQM) and became Total Quality Management Statistician at Ore-Ida Foods. As a company statistician and quality improvement specialist, Dr. Haury applied and taught Six Sigma methods. He became the company expert on statistics for continuous improvement of measurement systems, production processes and experimentation.
Subsequent to Heinz, Dr.Haury was Associate Director of Six Sigma and Quality Engineering at Amgen, Inc. from 1997 to 2007 where he developed a new standardized procedure for lot acceptance sampling and verification using confidence statements to reduce actual sampling requirements.
Refund Policy
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