Exam 14: Operational Decision-Making Tools: Linear Programming

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A linear programming model's constraints are nonlinear relationships that describe the restrictions placed on the decision variables.

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_____________ represent a restriction on decision variable values for a linear programming problem.

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A company produces product A and product B.Each product must go through two processes.Each A produced requires two hours in process 1 and five hours in process 2.Each B produced requires six hours in process 1 and three hours in process 2.There are 80 hours of capacity available each week in each process.Each A produced generates $6.00 in profit for the company.Each B produced generates $9.00 in profit for the company.If the company produces 6 units of A and 9 units of B the company's objective function is

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The constraints in a linear programming formulation define the feasible solution space.

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A company produces product A and product B.Each product must go through two processes.Each A produced requires two hours in process 1 and five hours in process 2.Each B produced requires six hours in process 1 and three hours in process 2.There are 80 hours of capacity available each week in each process.Each A produced generates $6.00 in profit for the company.Each B produced generates $9.00 in profit for the company.If the company produces 6 units of A and 9 units of B the value of the objective function is equal to

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A company produces product A and product B.Each product must go through two processes.Each A produced requires two hours in process 1 and five hours in process 2.Each B produced requires six hours in process 1 and three hours in process 2.There are 80 hours of capacity available each week in each process.Each A produced generates $6.00 in profit for the company.Each B produced generates $9.00 in profit for the company.If the company produces 6 units of A and 9 units of B the constraint for process 1 is represented by

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Operations mangers find very few types of linear program models applicable today because finding an optimal solution is no longer a concern.

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A formulation for a linear programming model consists of a decision variable,a constraint and several objective functions.

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The feasible solution space contains the values for the decision variables that satisfy the majority of the linear programming model's constraints.

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