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NetFlorist makes two gift packages of fruit. Package A contains 20 peaches, 15 apples and 10 pears. Package B contains 10 peaches, 30 apples and 12 pears. NetFlorist has 40000 peaches, 60000 apples and 27000 pears available for packaging. The profit on package A is R2.00 and the profit on B is R2.50. Assuming that all fruit packaged can be sold, what number of packages of types A and B should be prepared to maximize the profit? What is the maximum profit? (a) Use the information above to formulate an LPP. Indicate what each decision variable represents. [5] (b) Write the LPP in standard normal form. [1] (c) Using the simplex method, solve the LPP. For each simplex tableau, clearly indicate the basic and nonbasic variables, the pivot, row operations and basic feasible solution.

Answer :

To maximize profit, NetFlorist should prepare 1000 packages of type A and 800 packages of type B, resulting in a maximum profit of R3750.

To formulate the linear programming problem (LPP), let's denote the number of packages of type A as x and the number of packages of type B as y. The objective is to maximize the profit, which can be represented as follows:

Maximize: 2x + 2.5y

There are certain constraints based on the availability of fruit:

20x + 10y ≤ 40000 (peaches constraint)

15x + 30y ≤ 60000 (apples constraint)

10x + 12y ≤ 27000 (pears constraint)

Additionally, the number of packages cannot be negative, so x ≥ 0 and y ≥ 0.

Converting this LPP into standard normal form involves introducing slack variables to convert the inequality constraints into equality constraints. The standard normal form of the LPP can be represented as:

Maximize: 2x + 2.5y + 0s1 + 0s2 + 0s3

Subject to:

20x + 10y + s1 = 40000

15x + 30y + s2 = 60000

10x + 12y + s3 = 27000

x, y, s1, s2, s3 ≥ 0

Using the simplex method, we can solve this LPP. Each iteration involves selecting a pivot element, performing row operations, and updating the basic feasible solution. The simplex tableau represents the values of the decision variables and slack variables at each iteration.

Learn more about simplex method

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