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Designing and Selection of Mixed Relational Complete Chain Sampling Plan Using Variance Principle (RCCSP‐VP)

Author

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  • K. Rebecca Jebaseeli Edna
  • V. Jemmy Joyce
  • K. Martin Sagayam
  • S. Elizabeth Amudhini Stephen
  • Hatira Günerhan
  • Homan Emadifar

Abstract

There are many measurable dimensions for products in industries, and their quality should not deviate too much from the established norm. Therefore, a big part of the consignment’s acceptance is determined by the variance of distributions. In the production of surgical or critical care equipment, measurable dimensions are very important, since each part of the equipment should meet the indicated specification with tolerable variance. Therefore, a procedure for constructing a combined (mixed) sampling plan with a variance measure is provided in this module. This sampling plan supports the medical device engineer in establishing the target dimensions for the quality control of medical instruments because many variations in dimensions result in heavy losses for manufacturers. The relational complete chain sampling plan (RCCSP) is utilized in the II phase inspection to have a significant impact on production quality. The performance measures, algorithm, and design of the mixed sampling plan are provided. The plan is indexed through AQL. In order to choose the plan easily, the table is set up with an example.

Suggested Citation

  • K. Rebecca Jebaseeli Edna & V. Jemmy Joyce & K. Martin Sagayam & S. Elizabeth Amudhini Stephen & Hatira Günerhan & Homan Emadifar, 2023. "Designing and Selection of Mixed Relational Complete Chain Sampling Plan Using Variance Principle (RCCSP‐VP)," Mathematical Problems in Engineering, John Wiley & Sons, vol. 2023(1).
    • Handle: RePEc:wly:jnlmpe:v:2023:y:2023:i:1:n:5406966
    DOI: 10.1155/2023/5406966
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    References listed on IDEAS

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    1. Arul S. Deva & Joyce V. Jemmy, 2010. "Selection of Mixed Sampling Plans for Second Quality Lots," Stochastics and Quality Control, De Gruyter, vol. 25(1), pages 31-42, January.
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