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      Optimized menu formulation to enhance nutritional goals: design of a mixed integer programming model for the workers’ food program in Brazil

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          Abstract

          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.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s40795-023-00705-0.

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          Most cited references30

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          Linear Programming and Extensions

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            The Cost of Subsistence

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              A Review of the Use of Linear Programming to Optimize Diets, Nutritiously, Economically and Environmentally

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                Author and article information

                Contributors
                padovanmarina.luiz@gmail.com
                Journal
                BMC Nutr
                BMC Nutr
                BMC Nutrition
                BioMed Central (London )
                2055-0928
                20 March 2023
                20 March 2023
                2023
                : 9
                : 51
                Affiliations
                [1 ]GRID grid.411087.b, ISNI 0000 0001 0723 2494, Multidisciplinary Food and Health Laboratory (LabMAS), School of Applied Sciences, , State University of Campinas (UNICAMP), ; 1300 Pedro Zaccaria St, Jd Santa Luzia, Limeira, São Paulo 13484-350 Brazil
                [2 ]GRID grid.411087.b, ISNI 0000 0001 0723 2494, Institute of Mathematics, Statistics and Scientific Computing (IMECC), , University of Campinas (UNICAMP), University City, ; Campinas, São Paulo 13083-856 Brazil
                [3 ]GRID grid.411087.b, ISNI 0000 0001 0723 2494, School of Applied Sciences, , State University of Campinas, ; 1300 Pedro Zaccaria St, Jd Santa Luzia, Limeira, São Paulo 13484-350 Brazil
                Article
                705
                10.1186/s40795-023-00705-0
                10026400
                36941679
                a27e17ed-ca4a-4956-9b55-7ba5919f765d
                © The Author(s) 2023

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 14 June 2022
                : 8 March 2023
                Categories
                Research
                Custom metadata
                © The Author(s) 2023

                menu development,mathematical modeling,mixed integer programming,workers’ health,institutional foodservices

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