Asked by Jessica Lazur on Jul 05, 2024

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The optimal decision in the linear programming model depends on:

A) the intersection of the constraint lines.
B) the slope of the objective function.
C) the slope of the objective function combined with all constraints.
D) the feasible region interact with the smallest constraint.

Linear Programming

A mathematical technique used for optimizing operations, focusing on achieving the best outcome in a model with linear relationships.

Constraint Lines

Limitations or bottlenecks within a production process that restrict the flow of production or services.

Objective Function

A mathematical equation used in optimization to represent the goal of an operation, often aiming to maximize or minimize some aspect of the system.

  • Comprehend the fundamental principles of linear programming and the importance of the feasible solution region.
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MF
Mckinzie FeimsterJul 08, 2024
Final Answer :
C
Explanation :
The optimal decision in a linear programming model is determined by how the slope of the objective function interacts with all the constraints, leading to the identification of the best solution within the feasible region.