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KMID : 0881720120270030312
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Journal of Food Hygiene and Safety
2012 Volume.27 No. 3 p.312 ~ p.316
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The Survey of Cold Storage Temperature and Determine of Appropriate Statistics Probability Distribution Model
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Kim Hyong-Tae
Kim Sang-Kyu
Bahk Gyung-Jin
Paek Ock-Jin
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Abstract
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This study was to present the proper probability distribution models that based on the data for surveys of food cold storage temperatures as the input variables to the further MRA (Microbial risk assessment). The temperature was measured by directly visiting 7 food plants. The overall mean temperature for food cold storages in the survey was 2.55 ± 3.55o
C, with 2.5% of above 10oC, ?3.2o C and 14.9o C as a minimum and maximum. Temperature distributions by space-locations was 0.80 ± 1.69o C, 0.59 ± 1.68o C, and 0.65 ± 1.46o C as an upper (2.4~4 m), middle (1.5~2.4 m), and lower (0.7~1.5 m), respectively. Probability distributions were also created using @RISK program based on the measured temperature data. Statistical ranking was determined by the goodness of fit (GOF) to determine the proper probability distribution model. This result showed that the LogLogistic (?4.189, 5.9098, 3.2565) distribution models was found to be the most appropriate for relative MRA conduction.
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KEYWORD
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cold food storage, temperature distribution, MRA (microbial risk assessment), probability distribution model
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