World Conference Calendar

35105 Conferences

Statistical Sampling Plans - Methods and Applications 2018

Added by globalcompliancepanel on 2018-02-08

Conference Dates:

Start Date Start Date: 2018-04-26
Last Date Last Day: 2018-04-27
Deadline for abstracts/proposals Deadline for abstracts/proposals: 2018-04-25

Conference Contact Info:

Contact Person Contact Person: Event manager
Email Email: john.robinson@globalcompliancepanel.com
Address Address: Courtyard Seattle Sea-Tac Area, Seattle, WA, United States
Phone Tel: 800-447-9407
Phone Fax: 302-288-6884

Conference Description:

Course "Statistical Sampling Plans - Methods and Applications" has been pre-approved by RAPS as eligible for up to 12 credits towards a participant's RAC recertification upon full completion.

Overview:

Acceptance sampling plans are important tools for manufacturers. Effectively used they can help reduce costs while assuring quality and controlling risks. Unfortunately, this rich field of techniques is not as prominent as it once had been. As a result, quality practitioners don't always appreciate the wide range of available options or understand how to choose among alternate statistical sampling plans.
Because there are no published standards or guides to help select the right technique for each application, this workshop invaluable. For example, a sampling plan to make an acceptance decision on an incoming lot is not the right plan to sample records in a quality audit. Even incoming inspection has many viable options - variables sampling plans can significantly reduce inspection cost compared to common attributes sampling plans.
This workshop balances understanding the statistical concepts of sampling and creating practical applications. The workshop uses a large number of exercises to help participants understand the theories, master the techniques, and participate in practical exercises.
Any company that uses sampling plans can benefit from this workshop. The workshop uses examples from medical device manufacturing. However, the methods, tools, and techniques are not industry specific.

Why should you attend:

Nearly all companies use sampling plans as part of quality control and quality assurance. However, some methods are better suited to certain applications. Understanding the available methods can help make better choices to optimize cost and conformance.

Workshop Objectives:

Participants will learn the statistical basis for acceptance sampling plans and the tools and methods to describe them, particularly the Operating Characteristic curve. This forms the basis for selecting sampling plans and understanding the associated risk. In particular, regulators, such as FDA Investigators, expect companies to use this information to help implement valid statistical techniques. However, cost is a consideration as well. Participants will learn how to calculate sampling costs and use the information to help choose efficient plans that control the risk.
Participants receive a set of Excel spreadsheets that help explain and implement the sampling plans.

Who will benefit:

Quality Managers
Risk Managers
Quality Engineers
Production and Process Engineers
Manufacturing Engineers
Design Engineers
Purchasing Managers
Supplier Quality Engineers
Quality Supervisors
Quality Inspectors

Agenda:

Day 1 Schedule

Lecture 1:
Fundamentals - Regulatory Requirements
Statistical techniques in FDA QSR
Statistical techniques in ISO 13485:2016
FDA Warning Letters
Lecture 2:
Fundamentals - Statistics
Descriptive statistics
Graphical techniques
The binomial distribution
The hypergeometric distribution
The normal distribution
Tests for normality
Lecture 3:
Sampling Concepts
Acceptable Quality Level (AQL)
The Operating Characteristic (OC) curve
Risk (producer and consumer) and the sampling plan
Lecture 4:
Attribute Sampling (Z1.4 & c=0)
Sampling parameters (Level, Lot size, & AQL)
Single, double, and multiple sampling plans
Normal, reduced, and tightened sampling plans
Describing the sampling plan
o OC Curve
o Discrimination and the Operating Ratio
o Average sample number curve (ASN)
o Average total inspected (ATI)
o Average outgoing quality (AOQ)
Lecture 5:
Attribute Sampling (Dodge-Romig)
Understanding the system
Average outgoing quality limit (AOQL)
Limiting quality level (LQL)

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