Optimum Sampling Plan on Quality Indices AOQL and MAPD

Authors

  • Ramkumar T. Balan Department of Mathematics & Statistics University Of Dodoma, Tanzania
  • Expery Massawe Department of Mathematics & Statistics University Of Dodoma, Tanzania

DOI:

https://doi.org/10.14738/tmlai.105.13168

Keywords:

Optimum Sampling Plan, glb of AOQL, MAPD, Empirical Relations

Abstract

This paper describes a selection procedure for an Optimum Sampling Plan, offering maximum consumer protection in terms of AOQL and MAPD.  The greatest lower bound (glb) property of AOQL for a fixed MAPD is used to design the plan offering highest precision on outgoing quality for the lot. Tables for optimum sampling plans corresponding to specified MAPD and g l b of AOQL are listed along with AQL. Empirical relation to determine AOQL for given acceptance number and MAPD is determined. Also an approximated acceptance number function in terms of (MAPD, AOQL) is developed. Lower and Upper bounds of AOQL for some parametric sampling plans are listed.

References

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Ramkumar T.B. (2013) MAPD –A quality Measure , Indian Journal of Applied research, Vol.3, Issue3 524-525

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Published

2022-10-18

How to Cite

Balan, R. T., & Massawe, E. (2022). Optimum Sampling Plan on Quality Indices AOQL and MAPD. Transactions on Engineering and Computing Sciences, 10(5), 57–66. https://doi.org/10.14738/tmlai.105.13168

Issue

Vol. 10 No. 5 (2022): Transactions on Machine Learning and Artificial Intelligence

Section

Articles

License

Copyright (c) 2022 Ramkumar T. Balan, Expery Massawe

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.