Personal Meal Management - A Mathematical Model
Further to requests received to design a Mathematical Model to ensure one's satisfactory dining preferences vis a vis the cost of it and the variety, I have tried to make a Model that aims to capture the intent. While this has been written with a University Setting as a base it can be equally applied across all Dining facilities for everyone. I would be glad to receive any corrections on the model to make it more useful.
Creating a mathematical model to manage oneself and eating preferences in a university dining hall and cafes involves several factors. These include meal pricing, dietary preferences, nutritional needs, meal variety, and cost management. Here's a comprehensive model that incorporates these aspects:
Parameters:
Variables:
Constraints:
∑??(????×intake?from?dining?hall?meals)+∑??(????×intake?from?cafe?meals)≥∑?? ????
5. Variety Constraint:
Variety?in?dining?hall?meals ≥Vdh
Variety?in?cafe?meals≥??????
Objective Function:
The objective is to maximize satisfaction while adhering to budget and nutritional needs. Satisfaction can be modeled by a utility function U that considers the variety and preference for certain meals:
U=α(Variety?in?dining?hall?meals)+β(Variety?in?cafe?meals) +γ(Nutritional?adequacy)?δ(Cost)
where ??,??,??,?? are weights representing the importance of each factor.
Mathematical Formulation:
maximise U over xdh and ycf =α(Variety?in?dining?hall?meals)+β(Variety?in?cafe?meals)+ γ(Nutritional?adequacy)?δ(Cost)
Example Calculation:
Let's consider a specific example with the following values:
By solving these equations, we can determine the optimal number of days to eat at the dining hall and the number of cafe meals to maximize satisfaction while adhering to budget and nutritional needs. I was told that the optimization can be done using linear programming or other optimization techniques, but I am not aware of how to use them.
This model helps in effectively managing meal preferences, nutritional intake, and budget constraints in a university setting. Any help to further optimize the model is welcome including the use of Linear Programming/ Other Optimization techniques.