A FRAMEWORK FOR THE DERIVATION AND VERIFICATION OF VARIABLES ACCEPTANCE SAMPLING PLANS

Authors

  • K. Preston White, Jr epartment of Systems and Information Engineering, P.O. Box 700747 University of Virginia, Charlottesville, Virginia 22904
  • Kenneth L. Johnson tatistics and Trending, NASA/NESC Systems Engineering Office. Mail Stop ET20/NESC, Bldg. 4732, Rm. 102 NASA Marshall Space Flight Center, Huntsville, Alabama 35813

Keywords:

quality engineering, reliability, inspection, requirements verification

Abstract

Acceptance sampling is a method for verifying quality or performance requirements using sample data. Variables acceptance sampling is an alternative to attributes acceptance sampling, which in many instances requires significantly smaller samples. In this paper, we consolidate the literature on variables acceptance sampling by providing a unified exposition of the approach used to develop such plans. From within this framework, we review the derivation of plans for exponential, normal, gamma, Weibull, and Poisson random variables. We verified these derivations on a set of test problems

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Published

2023-06-03

How to Cite

Preston White, Jr, K., & Johnson, K. L. (2023). A FRAMEWORK FOR THE DERIVATION AND VERIFICATION OF VARIABLES ACCEPTANCE SAMPLING PLANS. Investigación Operacional, 34(3). Retrieved from https://revistas.uh.cu/invoperacional/article/view/5971