MINIMIZATION LP PROBLEMS - Quantitative Techniques for management

Minimization problem in Linear Programming using Graphical method

In real life we need to minimize cost or time in certain situations. The objective now is minimization. Procedure for minimization problems is similar to maximization problems. The only difference is, enter the coefficients of the objective function in the simplex table without changing the sign.

Another way to solve minimization problems is by converting the objective function as a maximization problem by multiplying the equation by (– 1).

For example, if the objective function is,
Minimize Z =10x1+ 5x2
Convert the objective function into maximization and solve
Maximize Z = – 10x1– 5x2

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