1st Edition
Quality Sampling and Reliability New Uses for the Poisson Distribution
As a mathematical model for determining the probable number of outcomes, the new Poisson Distribution tables have long been an easier tool to use for reliability analyses. Longtime quality professional, inventor, and consultant John J. Heldt now makes the Poisson Table even more useful-creating two new tables (available only in this book) with the Poisson terms rearranged for further ease of estimation.
Quality Sampling and Reliability: New Uses for the Poisson Distribution simplifies the steps involved with reliability testing; Mean Time Between Failure (MTBF) assessment; advantages and risks involved in reliability life testing; and an example of methodology for tracking the MTBF for products in the field.
In addition to the tried-and-true Standard Poisson table, used to review conventional Poisson uses, Heldt's two variations yield these results:
Written for easy comprehension, with numerous illustrations, Quality Sampling and Reliability: New Uses for the Poisson Distribution will help quality professionals, engineers, instructors and students alike in their reliability testing tasks.
Individual Probabilities
Poisson Histograms for Practical Applications
Poisson Bootstrap Applications for Real Life
Poisson Applications to Determine Statistical Curves
Applications Using Pa Poisson Table
Operating Characteristic Curves
Average Outgoing Quality
Acceptable Quality Level
Lot Tolerance Percent Defective
Sample Size Effect
Acceptance Number Effect
AQL=1% Plans
LTPD=10% Plans
Summary
Quick & Easy Poisson Applications
AOQL Generator
AOQL for n=200 Sample Plans
Sample Plans for AOQL=2% Plans
AOQL for Various Sample Plans
AQL-LTPD-AOQL Approximator
AQL and Alpha Risk-LTPD and Beta Risk Guidelines
Summary
Double Sampling Using Pa Poisson
Applications
OC and AOQ Curves for Double Sample Plan
Double Sample Plan AOQL and AOQ Curve
Review
Average Sample Number for Double Sampling
Summary
Applications Using CL Poisson Table (PT-3)
Estimating the MTBF Using Poisson Table PT-3
MTBF Confidence Limit Multipliers
Confidence Limits for Time Tests
Confidence Limits for Failure Test
Summary
Applications Using CL Poisson Table (PT-2)
Summary of OC Curves for Life Tests
MTBF Tracking Based on Field Data
Field Data MTBF Calculations
MTBF Tracking, Fig. 59
MTBF (CL=60%), Fig. 61
90% Confidence Limits
Summary
Appendix One: Cumulative Poisson Distribution: Poisson PT-1
Appendix Two: Probability of Acceptance: Poisson PT-2
Appendix Three: Confidence Level: Poisson PT-3
Biography
John J Heldt (Author)
"…illustrations of this book enlightening and capable of providing quick solutions to immediate practical engineering problems as well as an improved understanding of statistical quality control. …makes reliability work much easier and can be used for quicker release of statistical information."
-Hoang Pham, Department of Industrial Engineering, Rutgers University, Quality Sampling and Reliability
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