Predicting the Number of People for Meals of an Institutional Foodservice by Applying Machine Learning Methods: S City Hall Case

Predicting the number of meals in a foodservice organization is an important decision-making process that is essential for successful food production, such as reducing the amount of residue, preventing menu quality deterioration, and preventing rising costs. Compared to other demand forecasts, the menu of dietary personnel includes diverse menus, and various dietary supplements include a range of side dishes. In addition to the menus, diverse subjects for prediction are very difficult problems. Therefore, the purpose of this study was to establish a method for predicting the number of meals including predictive modeling and considering various factors in addition to menus which are actually used in the field. For this purpose, 63 variables in eight categories such as the daily available number of people for the meals, the number of people in the time series, daily menu details, weekdays or seasons, days before or after holidays, weather and temperature, holidays or year-end, and events were identified as decision variables. An ensemble model using six prediction models was then constructed to predict the number of meals. As a result, the prediction error rate was reduced from 10%~11% to approximately 6~7%, which was expected to reduce the residual amount by approximately 40%.

Beef Usage and Dietitians' Perceptions of Beef Quality in Institutional Foodservice

The purpose of this study was to compare the usage of beef and foodservice managers' perceptions of beef quality by foodservice type. A survey was conducted on 546 dietitians, and 499 acceptable responses were used for data analysis. By weight, pork was the most used meat in foodservice institutions, followed by poultry and beef. More than half of the foodservices selected meat suppliers by competitive bidding. Approximately 85.8% of the respondents used Hanwoo beef, followed by Australian beef and Youku beef. Beef type differed significantly by foodservice type (P<0.001): most of the schools and social welfare facilities used Hanwoo beef, whereas most hospitals and business/industry operations used Australian beef. When purchasing beef, safety of beef was rated the most important, while eco-friendliness was rated the least important. Most of the dietitians understood that marbling is one of the determinants of the beef quality, but were not aware of other components. Dietitians that selected Hanwoo and Youku beef were more satisfied with quality, taste, nutrition, freshness, country of origin, package, customer, preference, and availability for various menus than those who used imported beef. Dietitians who used Hanwoo beef were the most satisfied with country of origin, whereas the others were the most satisfied with safety. Since the dietitians are in charge of planning menus and selecting meat suppliers at foodservice institutions, they should make knowledgeable decisions by understanding meat supply systems and quality of beef.

The influences of sustainability management at institutional foodservice on store image and behavioral intention / 한국영양학회지

PURPOSE: The purpose of this study was to determine the influence of sustainability management in institutional foodservice on store image and behavioral intention (revisit intention, word of mouth, willingness to pay a premium). METHODS: Based on a total of 371 samples obtained from the empirical research, this study reviewed the reliability and fitness of the model. RESULTS: According to results of exploratory factor analysis, sustainability management derived three factors, economic value, socially responsible, and environmentally sound. The structural equation modeling showed that social responsibility in sustainability management had a significant positive effect on store image and behavioral intention. In addition, customer's perceived store image in foodservice had a significant positive effect on behavioral intention. The relationship between sustainability management and behavioral intention was found to be a partially significant effect. CONCLUSION: The results of this study revealed the importance of sustainability management of foodservice to improve store image and behavioral intention.