Acceptance Sampling Plans for Process Validation and Production Lot Monitoring

Pre Recorded

  • 90 minutes

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. 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.

In this webinar expert speaker Steven Wachs, where he will discuss the acceptance sampling plans for process validation and production lot acceptance also explain the use of Statistical Process Control.

Session Highlights:

Acceptance Sampling Plans for Attribute Data

  • Sampling Plans and Applications

  • Binomial Distribution

  • OC Curves

  • Average Outgoing Quality

  • Average Total Inspection

  • Double Sampling Plans

Acceptance Sampling Plans for Variable Data

  • Limitations of Variable Sampling Plans

  • Alternatives (Statistical Process Control, Process Capability)

  • Understand the Acceptance Sampling Problem and Objectives

  • Understand the necessary inputs and how to specify them for generating a sampling plan

  • Learn how to quantify the risks of making mistakes that are inherent in any acceptance sampling plan

Why You Should Attend:

By attending this webinar, participants will be able to understand the key inputs and issues involved in determining 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.

Who Should Attend:

  • R&D Personnel

  • Product Development Personnel

  • Quality Personnel

  • Lab Testing Personnel

  • Operations / Production Managers

  • Quality Assurance Managers, Engineers

  • Processor Manufacturing Engineers or Managers

  • Program or Product Managers

*You may ask your Question directly to our expert during the Q&A session.
** You can buy On-Demand and view it as per your convenience.

Steven Wachs

Steven Wachs

Steven Wachs has 25 years of wide-ranging industry experience in both technical and management positions. Steve 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.

Steve 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. He also possesses expertise in the application of reliability methods to achieve robust and reliable products as well as to estimate and reduce warranty. In addition to providing consulting services, Steve regularly conducts workshops in industrial statistical methods for companies worldwide.

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