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Optimal designing of an SkSP-R double sampling plan

Author

Listed:
  • Saminathan Balamurali
  • Liaquat Ahmad
  • Muhammad Aslam
  • Jaffer Hussain
  • Chi-Hyuck Jun

Abstract

In this article, we propose a method of planning and determining the optimum parameters of a SkSP-R skip-lot sampling plan by using the attribute double sampling plan as the reference plan. The SkSP-R plan is a new type of skip-lot sampling plan which has a provision for re-inspecting the submitted lots. The optimal plan parameters of the suggested sampling plan are estimated with the target that the average sample number be minimized and satisfying both the specified producer's as well as the consumer's risks simultaneously. In order to obtain the optimum parameters, tables are also built for different combinations of the acceptable quality level and the limiting quality level in conjunctions with different producer's and consumer's risks. An illustrative example is provided for the implementation of the suggested plan. The advantages of the suggested plan over the existing conventional sampling plans and other existing skip-lot sampling plans are also described.

Suggested Citation

  • Saminathan Balamurali & Liaquat Ahmad & Muhammad Aslam & Jaffer Hussain & Chi-Hyuck Jun, 2018. "Optimal designing of an SkSP-R double sampling plan," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 47(17), pages 4329-4337, September.
    • Handle: RePEc:taf:lstaxx:v:47:y:2018:i:17:p:4329-4337
    DOI: 10.1080/03610926.2017.1373819
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