Valencia Products makes automobile radar detectors and assembles two models: LaserStop and SpeedBuster. The firm can sell all it produces. Both models use the same electronic components. Two of these can be obtained only from a single supplier. For the next month, the supply of these is limited to 4,000 of component A and 3,500 of component B. The number of each component required for each product and the profit per unit are in the table below. This question is interested in maximizing the profit).  a) Identify the decision variables, objective function, and constraints in simple verbal statements. b) Mathematically formulate a linear optimization model. Components Required/Unit   A B Profit/Unit LaserStop 18 6 $124 SpeedBuster 12 8 $136 Solve this question in Excel by using SOLVER.  Please clearly explain what is the optimal solution?  What is the resulting output of the objective function at the optimal solution? P.S. please solve in Excel.

Practical Management Science
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ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
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Valencia Products makes automobile radar detectors and assembles two models: LaserStop and SpeedBuster. The firm can sell all it produces. Both models use the same electronic components. Two of these can be obtained only from a single supplier. For the next month, the supply of these is limited to 4,000 of component A and 3,500 of component B. The number of each component required for each product and the profit per unit are in the table below. This question is interested in maximizing the profit). 

a) Identify the decision variables, objective function, and constraints in simple verbal statements.

b) Mathematically formulate a linear optimization model.

Components Required/Unit
  A B Profit/Unit
LaserStop 18 6 $124
SpeedBuster 12 8 $136

Solve this question in Excel by using SOLVER.  Please clearly explain what is the optimal solution?  What is the resulting output of the objective function at the optimal solution?

P.S. please solve in Excel.

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