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Validity : 25th Sep'23 to 05th Oct'23
Acceptance Sampling Plans for Attribute Data
Acceptance Sampling Plans for Variable Data
Personnel involved in process validation and production control often rely on sampling methods to determine the suitability of a process before moving to production (process validation) or for checking production lots for acceptance. This webinar provides details regarding the generation of sampling plans that meet the desired statistical properties. By attending this webinar, participants will be able to understand the key inputs and issues involved in determining acceptance sampling plans. Although the software is generally used to generate sampling plans, the participants will gain useful insight into the methodology and its use in typical applications.
Sampling plans for attribute data are the primary focus although variable acceptance sampling plans are presented as well. The binomial distribution and its use in developing Operating Characteristic (OC) Curves is discussed. The key inputs to determining sampling plans (AQL, RQL, Consumer's and Producer's Risks) are described in detail. Key characteristics of the generated sampling plans (such as average outgoing quality) are presented. Double sampling plans are briefly introduced. Several example applications of acceptance sampling are presented. The use of Statistical Process Control and Process Capability methods are presented as an alternative to variable acceptance sampling plans.
The information gained in the webinar will allow you to develop statistically sound sampling plans that manage the risks inherent when making decisions based on sample data. Learning objectives include: