Compressed limit sampling inspection plans for food safety

Edgar Santos‐Fernández, Govindaraju Kondaswamy and Geoff Jones

Applied Stochastic Models in Business and Industry, 2016, vol. 32, issue 4, 469-484

Abstract: The design of attribute sampling inspection plans based on compressed or narrow limits for food safety applications is covered. Artificially compressed limits allow a significant reduction in the number of analytical tests to be carried out while maintaining the risks at predefined levels. The design of optimal sampling plans is discussed for two given points on the operating characteristic curve and especially for the zero acceptance number case. Compressed limit plans matching the attribute plans of the International Commission on Microbiological Specifications for Foods are also given. The case of unknown batch standard deviation is also discussed. Three‐class attribute plans with optimal positions for given microbiological limit M and good manufacturing practices limit m are derived. The proposed plans are illustrated through examples. R software codes to obtain sampling plans are also given. Copyright © 2016 John Wiley & Sons, Ltd.

Date: 2016
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https://doi.org/10.1002/asmb.2170

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Persistent link: https://EconPapers.repec.org/RePEc:wly:apsmbi:v:32:y:2016:i:4:p:469-484

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