, “MCQ on Linear Programming Problem”
1. Operation research approach is
A) Multi-disciplinary B) Artificial C) Intuitive D) All of the above
2. 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
3. Mathematical model of Linear Programming is important because
A) It helps in converting the verbal description and numerical data into
mathematical expression
B) decision makers prefer to work with formal models.
C) it captures the relevant relationship among decision factors.
D) it enables the use of algebraic techniques.
4. 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
5. In graphical method of linear programming problem if the ios-cost line coincide
with a side of region of basic feasible solutions we get
A) Unique optimum solution B) unbounded optimum solution
C) no feasible solution D) Infinite number of optimum solutions
6. 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
7. The objective function for a L.P model is 3𝑥1 + 2𝑥2, if 𝑥1 = 20 and 𝑥2 = 30,
what is the value of the objective function?
A) 0 B) 50 C) 60 D) 120
8. 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
9. 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
10. 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
12. A physical model is an example of
A) An iconic model B) An analogue model C) A verbal model
D) A mathematical model
, 13. If the value of the objective function 𝒛 can be increased or decreased
indefinitely, such solution is called
A) Bounded solution B) Unbounded solution C) Solution D)
None of the above
14. A model is
A) An essence of reality B) An approximation C) An idealization
D) All of the above
15. 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
16. Constraints in an LP model represents
A) Limititations B) Requirements
C) balancing, limitations and requirements D) all of above
17. The best use of linear programming is to find optimal use of
A) money B) Manpower C) Machine D) All the above
18. Which of the following is assumption of an LP model
A) divisibility B) proportionality C) additivity D) all of the
above
19. 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
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