대학 급식소의 식수예측 기법 운영 현황

Investigation on the Performance of the Forecasting Model in University Foodservice

  • 정라나 (연세대학교 식품영양학과) ;
  • 양일선 (연세대학교 식품영양학과) ;
  • 백승희 (연세대학교 식품영양학과)
  • 발행 : 2003.11.01

초록

The purpose of this study was to investigate the utilization level of forecasting methods in contract foodservice management companies. Questionnaires were distributed and collected from 30 foodservice management companies contracted with universities and 49 university foodservices in Seoul and Kyungki area. Statistical data analysis was performed using SPSS/WIN 10.0 based on the production records of Yonsei University foodservices and the weather reports from a meteorological observatory. The results of this study were as follows: 1) The objectives of the fore-casting systems were identified as saving costs through eliminating the leftover, meeting the customer demands, and improving efficiency in food preparation.2) All of the university foodservices were already performing the forecasting methods but in foodservice management companies as a whole,89.7 percents were applying the method and only 55.2 percents had the separate forecasting department. 3) A large number of foodservice staffs in the head office (65.5%) answered that they often utilized intuitive estimates based on the past experiences and records for forecasting while 65.3% managing staffs in the university foodservices answered the same.4) Both in the head office and university foodservices, actual number of meals served were recorded. In the head office, mostly estimated numbers and actual numbers of meals were recorded while estimated, prepared, and actual numbers of meals served were recorded for most of the cases in university foodservices. 5) The primary factors considered for forecasting were the actual production records for the last month, the customer preference for the selected menu items, and the specific day of the week.

키워드

참고문헌

  1. School Food Service Research Review v.15 no.2 Forecasting production demand in school food service Miler,J.J.;McCahon,C.S.;Miller,J.L.
  2. Forecasting in Foodservice Messersmith,A.M.;Miller,J.L.
  3. Journal of the America Dietetic Association v.88 Status of menu item forecasting in dietetic education Miller,J.L.;Shanklin,C.W.
  4. Management Decision v.32 no.1 Forecasting: The key to managerial decision making Waddell,D.;Sohal,A.S. https://doi.org/10.1108/00251749410050697
  5. Forecasting Methods for Management Wheelwright,S.C.;Makridakis,S.
  6. Handbook for health Care Foodservece Management Forecasting Production Demand Dougherty,D.;Rose,J.C.
  7. Journal of the America Dietetic Association v.88 Forecasting menu-item demand in food service operations Miler,J.L.;Shanklin,C.W.
  8. Hospitality Research Journal v.14 no.3 Food Production Forecasts with simple time series models Miller,J.L.;McCahon,C.S.;Bloss,B.K.
  9. Foodservice Organization: A managerial and systems approach(4th ed.) Spears,M.C.
  10. The Cornell hotel and Restaurant Administration Quarterly v.37 no.1 Don't shoot the mssenger: Forecasting lodging performance Smith,R.A.;Lesure,L.D.
  11. The newest food safety law The Korean Society of food and Nutrition
  12. Adolescent Nutrition and Growth The Effect of stress on nutrition in adolescents and young adults Scrimshaw,N.S.;F.P.Heald(ed.)
  13. Journal of College & University Foodservice v.1 no.1 The future of college and university foodservice: An environmental perspective Sutherlin,D.H.;Badinelli,K.A.
  14. Settlement & forecasting in restaurant business: Special edition Foodservice