The owner of crackers, inc. produces both deluxe (d) and classic (c) crackers. she only has 4,800 ounces of sugar, 9,600 ounces of flour, and 2,000 ounces of salt for her next production run. a box of deluxe crackers requires 2 ounces of sugar, 6 ounces of flour, and 1 ounce of salt to produce. a box of classic crackers requires 3 ounces of sugar, 8 ounces of flour, and 2 ounces of salt to produce. profits are 40 cents for a box of deluxe crackers and 50 cents for a box of classic crackers. what is the objective function?

For this case, the first thing we are going to do is define variables:
 d: deluxe crackers
 c: classic crackers
 x: ounces of sugar
 y: ounces of flour
 z: ounces of salt
 The obtetive function is to maximize the production:
 
 It is subject to the following restrictions:
 ounces of sugar:
 
 ounces of flour:
 
 ounces of salt:
 
 
 the objective function is:
 maximize production:
 

In an optimization model, the objective function represents the target of the company (either a maximization of minimization). In this case, the company's aim is to maximize profit. If the company gets $0.40 of profit per box of deluxe crackers (d), and $0.50 of profit per box of classic crackers (c), then its objective function will be the total profit from the deluxe and classic crackers. This gives the objective function Z = 0.4d + 0.5c.

The rest of the given, such as the available supply of ingredients and the formulation details, are used as constraints in the optimization model.

7.666270253x10 raised to the 18th power