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.

ABSTRACT
 재료 및 방법
  조사대상 및 기간
  냉장창고 온도측정
  통계분석 및 확률분포모델 설정
 결과 및 고찰
  설정온도와 실제 공간온도 분포
  냉장창고 공간 위치 별 온도분포
  적정 확률분포모델 선정
 요 약
 감사의 글
 참고문헌

• 김형태(군산대학교 식품영양학과, Department of Food and Nutrition, Kunsan National University) | Hyong-Tae Kim
• 김상규(군산대학교 식품영양학과, Department of Food and Nutrition, Kunsan National University) | Sang-Kyu Kim
• 백옥진(식품의약품안전평가원 오염물질과, National Institute of Food & Drug Safety Evaluation, Food Contaminants Division) | Ok-Jin Behk
• 박경진(군산대학교 식품영양학과, Department of Food and Nutrition, Kunsan National University) | Gyung-Jin Bahk Correspondence to