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A Case Study on Application of the Menu Engineering Technique in Government Offices Contract Foodservice
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관공서급식소의 메뉴엔지니어링기법을 적용한 메뉴분석 사례연구

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Type
Academic journal
Author
Rho Sung Yoon (대법원)
Journal
The Korean Nutrition Society The Korean Journal of Nutrition Vol.42 No.1 KCI Accredited Journals
Published
2009.1
Pages
78 - 96 (19page)

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A Case Study on Application of the Menu Engineering Technique in Government Offices Contract Foodservice
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The purpose of this study was to analyze and evaluate the menu served in government offices foodservice by using Kasavana & Smith’s Menu-Engineering. Sales and food costs were collected from the daily sales reports for a year from Jan 2 to Dec 31 in 2007. Calculation for menu analysis and customer’s data were done by computer using the MS 2003 Excel spreadsheet program and SPSS 12.0 package program. Menu mix% (MM%) and unit contribution margin were used as variables by Kasavana & Smith. Four possible classifications by Menu-Engineering technique were turned out as ‘STAR’, ‘PLOWHORSE’, ‘PUZZLE’, ‘DOG’. The main menus served during a year were 128 dishes and about 141 peoples visited this restaurant daily. The mean age of the men was 44.1 ± 6.3, women were 32.7 ± 6.4 and showed that was statistically higher than that of women (p < .0001). The rates of STAR menus were ‘Western style (75.0%)’, ‘guk/tang-ryu (48.1%)’, ‘jjigae/ jeongol-ryu (23.1%)’, ‘bap-ryu (17.2%)’ in sequence. There were no STAR menus in gui/jorim/jjim-ryu. PLOWHORSE menus were ‘gui-ryu (75.0%)’, ‘guk/tang-ryu (29.6%)’, ‘bap-ryu (27.6%)’ in sequence. There were no PUZZLE or DOG menus in ‘jjigae/jeongol-ryu’. PUZZLE menus were ‘jorim/jjim-ryu and Myeonryu (each 33.3%)’, ‘bap-ryu (31.0%)’ in sequence. PUZZLE menus were a lots of ‘Chinese food (75.0%)’ and ‘myeonryu (55.6%)’. This study provides the basic data based on regularly menu analysis method applied the scientific menu analysis techniques in government offices food services, I’d like to suggest that the menu management must be done based on the necessity and result of menu analysis according to the seasonal and middle, long-term plans. (Korean J Nutr 2009; 42(1): 78 ~ 96)

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UCI(KEPA) : I410-ECN-0101-2012-594-004191946