Agree/Disagree and Why?

Linear Programming is a mathematical process to find the optimal solution of a situation with multiple constraints. It is associated with finding the solution with the maximizing or minimizing output based on the variables. This is a great tool, it allows the decision maker to identify constraints, such as budget, time, and prices in a problem and find the optimal solution given all of those constraints. For example, if trying to identify number of employees needed to handle workload for a company. The decision maker can use constraints such as company budget for salaries, number of employees needed for the workload, and even available workspace. A linear program can be created to find the optimal solution or the maximum amount of employees the company can hire.

Sensitivity Analysis is an addition to Linear Programming, allowing the decision maker to review and update the linear program already established to identify any changes to the optimal solutions if variables are changed. If the optimal solution is created for number of employees able to be carried by a company, the budget of the company could increase allowing for more employees, or due to technology advances, the amount of time needed to handle the workload could decrease, creating capacity for employees to handle greater work load. Sensitivity analysis could assist in verifying if there were any changes to the prior optimal solution