Abstract
ABSTRACT - This study was to present the proper probability distribution models that based on the data for sur-veys of food cold storage temperatures as the input variables to the further MRA (Microbial risk assessment). Thetemperature was measured by directly visiting 7 food plants. The overall mean temperature for food cold storages inthe survey was 2.55 ± 3.55 o C, with 2.5% of above 10 o C, −3.2 o C and 14.9 o C as a minimum and maximum. Tempera-ture distributions by space-locations was 0.80 ± 1.69 o C, 0.59 ± 1.68 o C, and 0.65 ± 1.46 o C as an upper (2.4~4 m), mid-dle (1.5~2.4 m), and lower (0.7~1.5 m), respectively. Probability distributions were also created using @RISKprogram based on the measured temperature data. Statistical ranking was determined by the goodness of fit (GOF) todetermine 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. Key words: cold food storage, temperature distribution, MRA (microbial risk assessment), probability distribution model
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