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 ± 3.55oC, with 2.5% of above 10oC, −3.2oC and 14.9oC as a minimum and maximum. Temperature distributions by space-locations was 0.80 ± 1.69oC, 0.59 ± 1.68oC, and 0.65 ± 1.46oC 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.

We surveyed the sanitary conditions for 17 cold and frozen food storage warehouses in Korea,using the following 5 inspections items: “putting into warehouse (A)”, “prevention of cross-contamination (B)”, “storage management (C)”, “temperature control (D)”, and “management of records and documents (E)”, We included 20detailed items. The results of distribution for frequency by five major inspection items showed that “(E)” was the highest,the next “(D)”, “(C)”; and “(B)” was the lowest. In the correlation of inspection scores between total scores, “(B)”and “(C)” were highly related to the total score, therefore, the higher score of “(B)” or “(C)”, the higher for the total score. In details of inspection items, “the management of cross-contamination upon taking product out of the warehouse”had the lowest score with a mean, of 2.67 ± 1.80, and also ranked as first of the 20 items.