Optimized menu formulation to enhance nutritional goals: design of a mixed integer programming model for the workers’ food program in Brazil
Background In Brazil, institutional foodservices are required to meet the recommendations of the Workers? Food Program (WFP), a national public policy used to plan collective menus. The current study aimed to propose a mathematical model to generate a one-month menu that meets the nutritional recomm...
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| Vydané v: | BMC nutrition Ročník 9; číslo 1; s. 51 |
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| Hlavní autori: | , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
London
BioMed Central
20.03.2023
Springer Nature B.V BMC |
| Predmet: | |
| ISSN: | 2055-0928, 2055-0928 |
| On-line prístup: | Získať plný text |
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| Shrnutí: | Background
In Brazil, institutional foodservices are required to meet the recommendations of the Workers? Food Program (WFP), a national public policy used to plan collective menus. The current study aimed to propose a mathematical model to generate a one-month menu that meets the nutritional recommendations of the WFP, with low cost and good quality.
Methods
We considered aspects related to the eating habits of the Brazilian population, spacing of repetitions between the dishes, texture combination, and monotonicity of colors of the dishes served. A mixed integer programming model was built to formulate daily menus for an institutional foodservice for one month. The menu consisted of a base dish, a base dish option, salads (2 options), a protein dish, a protein dish option, a side dish, and a dessert.
Results
The model ensured compliance with the recommendations proposed by the WFP and the provision of healthy and nutritionally balanced meals. The menu generated met the recommendations of the WFP, with an average of 716.97 kcal/meal, including on average 58.28% carbohydrates, 17.89% proteins, and 24.88% total fats/meal.
Conclusion
The model used can help in the menu elaboration dynamics of institutional foodservices, optimizing the work of the nutritionist in charge. |
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| Bibliografia: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| ISSN: | 2055-0928 2055-0928 |
| DOI: | 10.1186/s40795-023-00705-0 |