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  1. 1.   Simplex method Involves understanding of many conceptual technical aspects. These cannot be understood by any manager not conversant with the subject.
  2. 2.   Linear programming problems need lot of expertise, time and are cumbersome. A number of steps have to be adopted to proceed in a systematic manner before one can arrive at the solution.
  3. 3.   Graphic solution method has lot of applications and is relatively short and simple. However, it has limitations and cannot be applied to problems with more than two variables in the objective function.
  4. 4.   Simplex method of LPP can be applied to problems with more than two variables in the objective function, the procedure adopted is complicated and long. It may need computation of 4 to 5 simplex tables and can test the patience of the problem solver. Computers are of course helpful in such cases.
  5. 5.   LPP does not lead to ‘a unique’ optimal solution. It can provide different types of solutions like feasible solution, infeasible solution, unbounded solution, degenerate solution etc.
  6. 6.   It gives absurd or impractical results in many solutions. The solution may ask for providing men or 3· 89 machines which is not possible.
  7. 7.   LPP model makes many assumptions in the values of objective function and constraint variables, like the rate of profit. In fact, such assumptions may not be right.
  8. 8.   The whole approach to the solution is based on the linearity of the functions i.e., all the variables involved in the problem increase or decrease in a linear manner. This assumption does not hold good in all cases. In many cases, the objective function may assume the form of a quadratic equation.

LPP method cannot be used where a number of objectives are required to be fulfilled. It deals with other maximising of profits, minimisation of costs etc.