<u> Variable</u> - These are the unknown quantities that expected to estimate it as an output.
Example:- In an optimization model for labor scheduling, the number of nurses to employ during the morning shift in an emergency room may be a Decision variable.
<u> Constraints</u> - the restrictions on the variable open linear programming problem are called constraints.
The conditions x ≥ 0, y ≥ 0 called non negative restrictions.
<u>Objective equation</u> - the objective equation should be specified in a quantitative way.
It is of the form Z = ax + by
where x and y are decision variable.
Z is to be maximized or minimized to find the solution.
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