when discussing several disadvantages of linear programming; clearly explain the
ID: 464980 • Letter: W
Question
when discussing several disadvantages of linear programming; clearly explain the reasons for your choices. From my understanding some disadvantages are the ability to define its objective or particular function. Despite its simplicity it has difficulty identifying larger problems, as it’s designed to calculate single objective problems. From a business standpoint many different variables come into play with each portion of operations, making linear programming limited when taking in account any additional variables. For example, linear programming can provide the maximum or minimum staging required but is unable to take into account any other variables that may have an adverse effect. Linear programming does not consider any type of business change or evolutions. Another limitation is that it is limited to linear functions; nonlinear functions are unable to be found. Linear programming is just another tool to be used by managers but understood that it has limitations where other equations may have to be used.
WHAT ARE YOUR THOUGHTS ON THIS RESPONSE? EXPLAIN
Explanation / Answer
The response is clear, precise and to the point.
You might also consider adding other points:
1. Linear programming works under the condition that the objective function and all the constraints are linear. However, a business or an organization faces several situations in which the problems are nonlinear and hence linear programming will not be useful in such cases.
2. You have already touched on the point of single objective. I want to further add that linear programming takes into account only a single objective function which may either be to maximize the objective function or to minimize it. But the dynamic business environment in which a business operates in today requires the business to have multiple objective functions at the same time.
3. Another disadvantage with linear programming is that the parameters are assumed to be constant. However, in real life situations, the parameters are seldom constant.
4. Lastly, the assumption that linear programming makes about the certainty of the values of co-efficient does not always hold as there are several situations in which values of co-efficient are not certain but are probabilistic. In such cases, linear programming cannot be applied.
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