Question: Problem 9 - 1 3 ( Algorithmic ) Romans Food Market, located in Saratoga, New York, carries a variety of specialty foods from around the
Problem Algorithmic
Romans Food Market, located in Saratoga, New York, carries a variety of specialty foods from around the world. Two of the store's leading products use the Romans
Food Market name: Romans Regular Coffee and Romans DeCaf Coffee. These coffees are blends of Brazilian Natural and Colombian Mild coffee beans, which are
purchased from a distributor located in New York City. Because Romans purchases large quantities, the coffee beans may be purchased on an asneeded basis for a
price higher than the market price the distributor pays for the beans. The current market price is $ per pound for Brazilian Natural and $ per pound for
Colombian Mild. The compositions of each coffee blend are as follows:
Romans sells the Regular blend for $ per pound and the DeCaf blend for $ per pound. Romans would like to place an order for the Brazilian and Colombian coffee
beans that will enable the production of pounds of Romans Regular coffee and pounds of Romans DeCaf coffee. The production cost is $ per pound for the
Regular blend. Because of the extra steps required to produce DeCaf, the production cost for the DeCaf blend is $ per pound. Packaging costs for both products are
$ per pound. Formulate a linear programming model that can be used to determine the pounds of Brazilian Natural and Colombian Mild that will maximize the total
contribution to profit.
Let pounds of Brazilian beans purchased to produce Regular
pounds of Brazilian beans purchased to produce DeCaf
pounds of Colombian beans purchased to produce Regular
pounds of Colombian beans purchased to produce DeCaf
If required, round your answers to three decimal places. For subtractive or negative numbers use a minus sign even if there is a sign before the blank. Example:
The complete linear program is
What is the contribution to profit?
Optimal solution:
If required, round your answer to two decimal places.
Value of the optimal solution $
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