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Selection of Food Items for Diet Problem Using a Multi-objective Approach under Uncertainty

In: Application of Decision Science in Business and Management

Author

Listed:
  • Saman Hassanzadeh Amin
  • Samantha Mulligan-Gow
  • Guoqing Zhang

Abstract

It is a problem that concerns us all: what should we eat on a day-to-day basis to meet our health goals? Scientists have been utilizing mathematical programming to answer this question. Through the use of operations research techniques, it is possible to find a list of foods that, in a certain quantity, can provide all nutrient recommendations in a day. In this research, a multi-objective programming model is provided to determine the selected food items for a diet problem. Two solution approaches are developed to solve this problem including weighted-sums and ?-constraint methods. Two sources of uncertainty have been considered in the model. To handle these sources, a scenario-based approach is utilized. The application of this model is shown using a case study in Canada. Using the proposed model and the solution approaches, the best food items can be selected and purchased to minimize the total cost and maximize health.

Suggested Citation

  • Saman Hassanzadeh Amin & Samantha Mulligan-Gow & Guoqing Zhang, 2020. "Selection of Food Items for Diet Problem Using a Multi-objective Approach under Uncertainty," Chapters, in: Fausto Pedro Garcia Marquez (ed.), Application of Decision Science in Business and Management, IntechOpen.
    • Handle: RePEc:ito:pchaps:204903
    DOI: 10.5772/intechopen.88691
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    More about this item

    Keywords

    food optimization; diet; nutrition; multi-objective programming; uncertainty;
    All these keywords.

    JEL classification:

    • D7 - Microeconomics - - Analysis of Collective Decision-Making

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