Concept explainers
a)
To determine: The impact of adding an extra constraint to the feasible area of a solved linear programming problem.
Introduction:
Linear programming:
It is a linear optimization technique followed to develop the best outcome for the problem in hand. The outcome might be of maximum profit or less cost which is represented by a linear relationship. The outcome will take into consideration the constraints present in achieving the solution.
Constraints:
The constraints are the limitation for a situation within which the process must operate. The constraints are the limits within which the available resources can be utilized that will help to maximize or minimize an amount.
Feasible region:
A feasible region is a solution space which contains all the possible points of an optimization problem. The region will be formed after satisfying the constraints in the problem which includes inequalities, integer constraints and inequalities. It is the area that is bounded by the constraints of the problem.
b)
To determine: The impact of adding an extra constraint to the optimal value of the objective function of a solved linear programming problem.
Introduction:
Linear programming:
It is a linear optimization technique followed to develop the best outcome for the problem in hand. The outcome might be of maximum profit or less cost which is represented by a linear relationship. The outcome will take into consideration the constraints present in achieving the solution.
Constraints:
The constraints are the limitation for a situation within which the process must operate. The constraints are the limits within which the available resources can be utilized that will help to maximize or minimize a quantity.
Feasible region:
A feasible region is a solution space which contains all the possible points of an optimization problem. The region will be formed after satisfying the constraints in the problem which includes inequalities, integer constraints and inequalities. It is the area that is bounded by the constraints of the problem.
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Chapter B Solutions
Operations Management
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