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(a) Formulate algebraically the Linear Programming (LP) model for this problem. Define the decision variables, objective function, and constraints. (19 points) (b) Formulate this same

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image text in transcribed(a) Formulate algebraically the Linear Programming (LP) model for this problem. Define the decision variables, objective function, and constraints. (19 points) (b) Formulate this same linear programming problem on a spreadsheet and SOLVE using Excel Solver (Provide the corresponding Excel Spreadsheet and the Answer Report). Include managerial statements that communicate the results of the analyses (i.e. describe verbally the results). (16 points)

The Moon Coffee Shop blends coffee on the premises for its customers. It sells three basic blends in 1-pound bags, Special, Moon Dark, and Moon Regular. It uses four different types of coffee to produce the blends - Brazilian, Mocha, Columbian, and Mild. The shop used the following blend recipe requirements. The cost of Brazilian coffee is $3.00 per pound, the cost of Mocha is $3.75 per pound, the cost of Columbian is $3.90 per pound, and the cost of Mild is $2.70 per pound. The shop has 110 pounds of Brazilian coffee, 70 pounds of Mocha, 80 pounds of Columbian, and 150 pounds of Mild coffee available per week. The shop wants to know the amount of each blend it should prepare each week to maximize the profit (i.e., revenue-cost). The Moon Coffee Shop blends coffee on the premises for its customers. It sells three basic blends in 1-pound bags, Special, Moon Dark, and Moon Regular. It uses four different types of coffee to produce the blends - Brazilian, Mocha, Columbian, and Mild. The shop used the following blend recipe requirements. The cost of Brazilian coffee is $3.00 per pound, the cost of Mocha is $3.75 per pound, the cost of Columbian is $3.90 per pound, and the cost of Mild is $2.70 per pound. The shop has 110 pounds of Brazilian coffee, 70 pounds of Mocha, 80 pounds of Columbian, and 150 pounds of Mild coffee available per week. The shop wants to know the amount of each blend it should prepare each week to maximize the profit (i.e., revenue-cost)

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