Acceptance Sampling - Methods and Applications 2017 is a seminar that covers topics such as:
- Sampling Concepts
- Defining the Operating Characteristic (OC) curve
- Understanding Acceptable Quality Level (AQL)
- Risk (producer and consumer) and the Sampling Plan
- Sequential sampling plans
- Calculating the accept and reject regions
- The sequential probability ratio
- The fan chart as a special case
- Applications
- Process validation
- Design verification and validation
- Incoming inspection
- Variables Sampling Using Z1.9
- Variability unknown methods (range and standard deviation)
- The methods (variability known and variability unknown)
- Comparative sample sizes
- Calculating the process parameters - the modern approach
- Combining attributes and variables plans
- Skip-lot sampling plans (SkSP)
- The OC curve
- Defining the parameters
- An alternate to Z1.4 reduced inspection (ANSI/ASQC S1)
- Chain sampling plans (ChSP)
- The OC curve
- Defining the parameters
- Continuous sampling plans (CSP)
- Clearing interval
- Processes that don`t produce lots
- OC curve and Average Outgoing Quality Limit (AOQL)
- Sampling fraction
- Mil-Std-1235
- CSP-1, CSP-2, and CSP-3
- Introduction/Fundamentals - Regulatory Requirements
- Statistical techniques in ISO 13485
- Statistical techniques in FDA QSR
- Process and product monitoring
- Validated processes
- FDA Warning Letters
- Design verification and validation
- Attribute Sampling using Z1.4
- Single, double, or multiple sampling
- Setting the sampling parameters (AQL and lot size)
- Describing the sampling plan
- Acceptance history (normal, reduced, or tightened sampling)
- Average sample number (ASN)
- OC curve
- Average outgoing quality (AOQ)
- Average total inspected (ATI)
- Using Accept on Zero (AOZ) plans instead
- Attribute Sampling Using the Dodge-Romig System
- Limiting Quality Level (LQL)
- Average Outgoing Quality Limit (AOQL)
- Using the system
- Introduction/Fundamentals - Statistics
- Graphical Techniques
- Descriptive Statistics
- The hypergeometric distribution
- The binomial distribution
- Tests for normality
- The normal distribution
Acceptance Sampling - Methods and Applications 2017 brings together:
- Quality Engineers
- Quality Managers
- Quality Analysts
- Supplier Quality Engineers
- Design and Development Engineers
- Production and Process Engineers
- Verification and Validation Specialists