Top 50+ Solved LINEAR PROGRAMMING PROBLEM MCQ Questions Answer
Q. Operation research approach is
a. multi-disciplinary
b. artificial
c. intuitive
d. all of the above
Q. Operation research analysis does not
a. predict future operation
b. build more than one model
c. collect the relevant data
d. recommended decision and accept
Q. A constraint in an LP model restricts
a. value of the objective function
b. value of the decision variable
c. use of the available resourses
d. all of the above
Q. A feasible solution of LPP
a. must satisfy all the constraints simultaneously
b. need not satisfy all the constraints, only some of them
c. must be a corner point of the feasible region
d. all of the above
Q. Maximization of objective function in LPP means
a. value occurs at allowable set decision
b. highest value is chosen among allowable decision
c. none of the above
d. all of the above
Q. Alternative solution exist in a linear programming problem when
a. one of the constraint is redundant
b. objective function is parallel to one of the constraints
c. two constraints are parallel
d. all of the above
Q. The linear function of the variables which is to be maximize or minimize is called
a. constraints
b. objective function
c. decision variable
d. none of the above
Q. The value of objective function is maximum under linear constraints
a. at the center of feasible region
b. at (0,0)
c. at any vertex of feasible region
d. the vertex which is at maximum distance from (0, 0)
Q. The first step in formulating a linear programming problem is
a. identify any upper or lower bound on the decision variables
b. state the constraints as linear combinations of the decision variables
c. understand the problem
d. identify the decision variables
Q. Constraints in an LP model represents
a. limititations
b. requirements
c. balancing, limitations and requirements
d. all of above
Q. The best use of linear programming is to find optimal use of
a. money
b. manpower
c. machine
d. all the above
Q. Which of the following is assumption of an LP model
a. divisibility
b. proportionality
c. additivity
d. all of the above
Q. Before formulating a formal LP model, it is better to
a. express each constraints in words
b. express the objective function in words
c. verbally identify decision variables
d. all of the above
Q. Non-negative condition in an LP model implies
a. a positive coefficient of variables in objective function
b. a positive coefficient of variables in any constraint
c. non-negative value of resourse
d. none of the above