________ which is a subclass of a linear programming problem(LPP) a. Programming problem b. Transportation problem c. Computer problem d. All of the above

________ which is a subclass of a linear programming problem(LPP)
a.
Programming problem
b.
Transportation problem
c.
Computer problem
d.
All of the above
by

1 Answer

Answer :

b.
Transportation problem
by

Related questions

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Maximization assignment problem is transformed into a minimization problem by a. Adding each entry in a column from the maximization value in that column b. Subtracting each entry in a column from the maximum value in that column c. Subtracting each entry in a column from the maximum value in that table d. Any one of the above

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The purpose of a dummy row or column in an assignment problem is to a. Obtain balance between total activities and total resources b. Prevent a solution from becoming degenerate c. Provide a means of representing a dummy problem d. None of the above

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. The method used for solving an assignment problem is called a. Reduced matrix method b. MODI method c. Hungarian method d. None of the above

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While solving an assignment problem, an activity is assigned to a resource through a square with zero opportunity cost because the objective is to a. Minimize total cost of assignment b. Reduce the cost of assignment to zero c. Reduce the cost of that particular assignment to zero d. All of the above

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When a particular assignment in the given problem is not possible or restricted as a condition, it is called a __ problem a. Infeasible b. Degenerate c. Unbalanced d. Prohibited

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The extra row or column which is added to balance an assignment problem is called _____ a. Regret b. Epsilon c. Dummy d. extra 98.

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If profit, sales, production, etc is given then it is _________ a. Balanced problem b. Unbalanced problem c. Maximization problem d. Minimization problem

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Maximization problem, then convert into minimization table through _________ a. Row minimization b. Column minimization c. Regret matrix d. Profit matrix

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Last Answer : c. Regret matrix