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Video TrainingIntroduction To Acceptance Sampling



Introduction To Acceptance Sampling
Free Download Introduction To Acceptance Sampling
Published 11/2023
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.10 GB | Duration: 1h 45m
How to Balance Internal Inspection Costs with the Risk of Shipping Defective Parts


What you'll learn
What is acceptance sampling and how is it used.
The origins of acceptance sampling
The advantages and disadvantages of acceptance sampling versus 100% inpsection
Variables versus attributes
The economic of acceptance sampling
AQL, LTPD, Operating Curves, Type I and II errors, and other key concepts
How to build an OC in Microsoft Excel
An Overview of Mil Standard 105E
How to use the major sampling tables
Single, double and multiple sampling case studies
Requirements
Some knowledge about quality and manufacturing
Some knowledge of statistics
Description
The decision of how much to inspect your parts before they ship to your customer is an important one. In the extremes, you could 1) inspect every part you ship or 2) not inspect any parts.Option 1 would greatly reduces the number of defective parts you ship, but results in high internal inspection costs. Option 2 greatly reduces your internal sorting costs, but allows defective parts to flow right to your customers, resulting in dissatisfied customers and much high external sorting costs.Acceptance Sampling offers an range of options in the middle. The basis for acceptance sampling is to inspect a sample of parts from a given lot, and then accepting or rejecting the lot based on the results of that sample inspection. Using Acceptance Sampling allows you to screen out the great majority of defective lots while minimizing your internal inspection costs."Introduction to Acceptance Sampling" offer you everything you need to start your own acceptance sampling system including:Key terminology and concepts related to acceptance samplingAn overview of Mil Standard 105EWhen and how Acceptance Sampling is best appliedThe economics of acceptance samplingWhat makes a good inspection planType I and Type II errors and how they apply to inspectionOperating Characteristic Curves, OC CurvesHow to build your own OC Curve in Microsoft Excel (Excel template included)How to read and interpret sampling plan tablesSingle, double, and multiple sampling plansNormal, Tightened, and Reduced sampling plansHow and why to switch between sampling plansDownloadable resources you can use at your workplaceWhen integrated into an organization's quality system alongside other powerful tools like Statistical Process Control (SPC), Layered Process Auditing (LPA), and Error Proofing, Acceptance Sampling can provide manufacturing organizations with a lower cost of high customer satisfaction.If this is your goal, then "Introduction to Acceptance Sampling" is what you need. Sign up today!!
Overview
Section 1: Introduction
Lecture 1 Introduction to the Course
Lecture 2 Introduction to Acceptance Sampling
Lecture 3 What is Sampling?
Lecture 4 The Origins of Acceptance Sampling
Lecture 5 Variables vs Attributes
Lecture 6 Why Sample?
Lecture 7 The Economy of Acceptance Sampling
Lecture 8 What Makes a Good Sampling Plan?
Lecture 9 Where Does Acceptance Sampling Fit?
Lecture 10 Definitions, Downloadable Resource
Lecture 11 Definitions, Pt 1
Lecture 12 Definitions, Pt 2
Lecture 13 Random Sampling
Lecture 14 Operating Characteristics Curve, Pt 1
Lecture 15 Operating Characteristics Curve, Pt 2
Lecture 16 Operating Characteristics Curve, Pt 3
Lecture 17 Sampling Considerations
Lecture 18 Building a Sampling Plan
Lecture 19 Mil Standard 105E
Lecture 20 Mil Standard 105E, Downloadable Resource
Lecture 21 Switching Rules
Lecture 22 Five Examples of Selecting Sampling Plans
Lecture 23 Using the Tables, a Downloadable Resource
Lecture 24 Multiple Sampling
Lecture 25 Closing Comments and References
Lecture 26 Conclusion to the Course
Lecture 27 Bonus Lecture
Quality engineers, Quality managers, Quality technicians,Industrial engineers, manufacturing engineers, process technicians,Manufacturing managers




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