In this case, the quantity of each product to make would be an example of decision variables. Decision variables are the unknown quantities that need to be determined through the optimization model, which are often the values that the modeler has control over, such as the production quantities in this case.
Objective functions are used to determine the objective of the optimization model, such as maximizing profits in this case.
Constraints are the limitations or restrictions that need to be considered in the optimization model, such as production capacity or resource constraints.
Parameters are the fixed values used in the optimization model, such as the cost of production, demand, or market prices.
Therefore, the quantity of each product to make is an example of decision variables, which are the variables that need to be determined to achieve the objective of maximizing profits through the optimization model.