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Improving school lunch menus with multi-objective optimisation: nutrition, cost, consumption and environmental
Alexandra L Stern1, Stephen Levine2, Scott A Richardson3
1Tufts University Friedman School of Nutrition Science and Policy, 150 Harrison Ave, Boston, MA02111, USA.
Optimizing school lunch menus can improve student nutrition and reduce environmental impact. New models increased student consumption and nutritional quality while lowering costs and environmental footprints.
Area of Science:
- Nutrition Science
- Environmental Science
- Operations Research
Background:
- School food programs aim to balance student preferences, nutritional needs, cost, and environmental sustainability.
- Evaluating the complex interplay between menu attributes is crucial for effective program support.
Purpose of the Study:
- To assess the relationships between nutritional quality, cost, student consumption, and environmental impacts of school lunch menus.
- To develop optimized menus that maximize student consumption and nutritional quality while minimizing costs and environmental footprints.
Main Methods:
- Linear programming and data from previously served menu items were used to model relationships.
- Multi-objective optimization models were developed and compared against baseline menus.
Main Results:
- Optimized menus significantly improved key metrics compared to baseline.
- Potential caloric intake increased by up to 27%, Healthy Eating Index scores by up to 19%.
- Costs decreased by up to 13%, and environmental impacts by up to 71% through shifts in entrée choices.
Conclusions:
- Multi-objective optimization effectively minimizes trade-offs between competing menu goals.
- The methodology can be adapted for different school districts and menu planning cycles.
- Further research should focus on implementing and evaluating optimized menus in real-world school settings.
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