SQC 111 - Acceptance Sampling and Reliability
A study of acceptance sampling techniques for attributes and reliability analysis. Operating characteristic curves, lot-by-lot acceptance plans based on LTPD, AOQL and AQL, sequential sampling, continuous sampling. Introduction to exponential, log-normal, and Weibull distributions, failure rate, MTBF, MTTF, mean life, probability of survival for series, parallel, and complex systems, basics of life testing.
Prerequisite: MAT 124 Statistics I or MAT 260 Applied Probability and Statistics, or equivalent
3 Class Hours
Learning Outcomes of the Course:
Upon the completion of this course the student will be able to:
1. Discuss the rationale for acceptance by sampling.
2. Construct an operating characteristic curve for an attribute plan.
3. Construct lot-by-lot sampling plans using Dodge-Romig LTPD and AOQL tables and ANSI/ASQC Z1.4 tables.
4. Develop sampling plans using the Wald Sequential Probability Ratio Test.
5. Develop lot-by-lot plans for specified producer and consumer risks and AQL and LTPD values and interpret.
6. Construct Sequential Sampling plans and Continuous Sampling plans.
7. Define fundamental concepts in reliability.
8. Work with the exponential, Weibull, and log-normal distributions.
9. Compute failure rate, mean life, MTTF, MTBF.
10. Compute the reliability of series, parallel, and series-parallel systems.
11. Explain the basic principles of life testing.
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