when discussing several disadvantages of linear programming; clearly explain the
ID: 464978 • Letter: W
Question
when discussing several disadvantages of linear programming; clearly explain the reasons for your choices. Linear programming has its limitations or disadvantages when an issue cannot be expressed as an equation with a straight line correlation between the issue or object function and the constraints that have been set. In other words, most problems that arise are curves or bumps in the road and cannot be shown as a straight line issue. The math or linear equation cannot take into account everyday uncertainties. As an example weather in our area, lately, has been unusually rainy. The linear equations can tell us what our schedule is and that we can completed the schedule on time, but cannot foresee that we cannot make the delivery, because the bridge down the road washed out and the trailers cannot transport in or out. The program cannot account for the unexpected occurrence and therefore is a disadvantage. It is a straight line system with variables that are linear in manner and linearity cannot be managed in all areas.
WHAT ARE YOUR THOUGHTS ON THIS RESPONSE? EXPLAIN
Explanation / Answer
The response is good, but only one limitation has been described in the response. How about we elaborate the response a bit?
Possible response:
The primary obligation for a linear programming problem is that the objective function and all the constraints are linear in nature. But in real life situations, problems are not always linear in nature. Hence, we cannot use linear programming, when an issue cannot be expressed as an equation with a straight line correlation between the issue or object function and the constraints that have been set. For example, weather in our area, lately, has been unusually rainy. The linear equations can tell us what our schedule is and that we can completed the schedule on time, but cannot foresee that we cannot make the delivery, because the bridge down the road washed out and the trailers cannot transport in or out. The program cannot account for the unexpected occurrence and therefore is a disadvantage. It is a straight line system with variables that are linear in manner and linearity cannot be managed in all areas.
Also, linear programming models take only a single objective function into consideration, for example profit maximization or cost reduction, etc. but in business environment, we have more than one objective functions to abide by. We cannot just concentrate on profit maximization, we need to maximize employee satisfaction, customer satisfaction, and many other factors along with the profit maximization, or cost minimization.
Lastly, The coefficient values in the linear programming model for the decision variables are assumed to be known with certainty, but in actual business issues, the coefficients for the decision variables are generally probabilistic values, hence the results we obtain are not optimum necessarily.
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