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These models deal with the selection of an optimal course of action given the possible pay offs and their associated probability of occurrence. These models are broadly applied to problems involving decision making under risk and uncertainly.
Maximize Z= 3x1 + 2X2 Subject to the constraints: X1+ X2 = 4 X1 - X2 = 2 X1, X2 = 0
A Company produces 150 cars. But the production rate varies with the distribution. Production Rate Probability 147 0.05 148 0.10 149 0.15 150 0.20 151 0.30 152 0.15 153 0.05 At pre
A paper mill produces two grades of paper viz., X and Y. Because of raw material restrictions, it cannot produce more than 400 tons of grade X paper and 300 tons of grade Y paper i
How to solve linear programming problems using simplex method introducing slack variable,surplus variable and artificial variable
operation research scope
Deriving the Solution from the Model: This phase is devoted to the computation of those value of decision variables that maximize or minimize the objective function. Such
Solve the following Linear Programming Problem using Simplex method. Maximize Z= 3x1 + 2X2 Subject to the constraints: X1+ X2 = 4 X1 - X2 = 2 X1, X2 = 0
This is a procedure of determining the potential if any for improving each of the non basic variables in terms of the objective function. To determine this potential each of
The scientific methods is thus based on certain basic postulate which can be stated as under: a. It relies on empirical evidence: b. It utilizes relevant concepts;
regression line drawn as Y=C+1075x, when x was 2, and y was 239, given that y intercept was 11. calculate the residual
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