Operations Research
1. Operations Research approach is ______________.
- multi-disciplinary
- collect essential data
2. A feasible solution to a linear programming problem ______________.
- must satisfy all the constraints of the problem simultaneously
- need not satisfy all of the constraints, only some of them
- must be a corner point of the feasible region.
- must optimize the value of the objective function
3. If any value in XB column of final simplex table is negative, then the solution is ______________.
4. For any primal problem and its dual______________.
- optimal value of objective function is same
- dual will have an optimal solution iff primal does too
- primal will have an optimal solution iff dual does too
- both primal and dual cannot be infeasible
5. The difference between total float and head event slack is ______________
- independent float
- interference float
- linear float
6. An optimal assignment requires that the maximum number of lines which can be drawn through squares with zero opportunity cost should be equal to the number of ______________.
- rows or columns
- rows and columns.
- rows+columns- 1
- rows-columns.
7. To proceed with the Modified Distribution method algorithm for solving an transportation problem, the number of dummy allocations need to be added are______________.
8. Select the correct statement
- EOQ is that quantity at which price paid by the buyer is minimum
- If annual demand doubles with all other parameters remaining constant, the Economic Order Quantity is doubled
- Total ordering cost equals holding cost
- Stock out cost is never permitted
9. Service mechanism in a queuing system is characterized by ______________.
- customers behavior
- servers behavior
- customers in the system
- server in the system
10. The objective of network analysis is to______________.
- minimize total project duration
- minimize toal project cost
- minimize production delays, interruption and conflicts
- maximize total project duration
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270+ Operations Research Solved MCQs
1. | |
A. | objective function |
B. | decision variable |
C. | constraints |
D. | opportunity cost |
Answer» A. objective function |
2. | |
A. | infeasible region |
B. | unbounded region |
C. | infinite region |
D. | feasible region |
Answer» D. feasible region |
3. | |
A. | outgoing row |
B. | key row |
C. | basic row |
D. | interchanging row |
Answer» C. basic row |
4. | |
A. | dummy |
B. | epsilon |
C. | penalty |
D. | regret |
Answer» B. epsilon |
5. | |
A. | ncwr |
B. | lcm |
C. | vam |
D. | hungarian |
Answer» D. hungarian |
6. | |
A. | head path |
B. | sub path |
C. | critical path |
D. | sub critical path |
Answer» C. critical path |
7. | |
A. | 7 |
B. | 10 |
C. | 18 |
D. | 8 |
Answer» B. 10 |
8. | |
A. | interfering float = total float – free float |
B. | total float =free float + independent float |
C. | total float ≥ free float ≥ independent float |
D. | free float = total float – head event slack |
Answer» B. total float =free float + independent float |
9. | |
A. | expected |
B. | pessimitic |
C. | optimistic |
D. | most likely |
Answer» C. optimistic |
10. | |
A. | processing order |
B. | idle time |
C. | processing time |
D. | elapsed time |
Answer» D. elapsed time |
11. | |
A. | physical |
B. | symbolic |
C. | deterministic |
D. | probabilistic |
Answer» C. deterministic |
12. | |
A. | physical |
B. | symbolic |
C. | deterministic |
D. | probabilistic |
Answer» D. probabilistic |
13. | |
A. | cpm and pert |
B. | assignment & transportation |
C. | game theory |
D. | decision theory & inventory models |
Answer» A. cpm and pert |
14. | |
A. | objective function |
B. | decision variables |
C. | constraints |
D. | opportunity cost |
Answer» B. decision variables |
15. | |
A. | objective function |
B. | decision variables |
C. | constraints |
D. | opportunity cost |
Answer» A. objective function |
16. | |
A. | objective function |
B. | variables |
C. | constraints |
D. | profit |
Answer» C. constraints |
17. | |
A. | infeasible |
B. | unbounded |
C. | improper |
D. | unknown |
Answer» A. infeasible |
18. | |
A. | less than or equal to |
B. | greater than or equal to |
C. | mixed |
D. | equal to |
Answer» D. equal to |
19. | |
A. | infeasible |
B. | infinite |
C. | unique |
D. | degenerate |
Answer» B. infinite |
20. | |
A. | key column |
B. | incoming column |
C. | important column |
D. | variable column |
Answer» A. key column |
21. | |
A. | vital element |
B. | important element |
C. | basic element |
D. | key element |
Answer» D. key element |
22. | |
A. | surplus |
B. | artificial |
C. | slack |
D. | additional |
Answer» C. slack |
23. | |
A. | null resource |
B. | scarce resource |
C. | abundant resource |
D. | zero resource |
Answer» B. scarce resource |
24. | |
A. | either zero or positive |
B. | either zero or negative |
C. | only positive |
D. | only negative |
Answer» A. either zero or positive |
25. | |
A. | vogel’s approximat ion method |
B. | nwcr |
C. | lcm |
D. | modi |
Answer» C. lcm |
26. | |
A. | infeasible solution |
B. | feasible solution |
C. | optimum solution |
D. | degenerate solution |
Answer» B. feasible solution |
27. | |
A. | infeasible solution |
B. | feasible solution |
C. | non degenerate solution |
D. | degenerate solution |
Answer» C. non degenerate solution |
28. | |
A. | vam |
B. | nwcr |
C. | modi |
D. | lcm |
Answer» A. vam |
29. | |
A. | balanced |
B. | unbalanced |
C. | infeasible |
D. | unbounded |
Answer» B. unbalanced |
30. | |
A. | vam |
B. | nwcr |
C. | modi |
D. | hungarian |
Answer» D. hungarian |
31. | |
A. | cost |
B. | regret |
C. | profit |
D. | dummy |
Answer» B. regret |
32. | |
A. | critical |
B. | sub-critical |
C. | best |
D. | worst |
Answer» A. critical |
33. | |
A. | tentative |
B. | definite |
C. | latest |
D. | earliest |
Answer» C. latest |
34. | |
A. | machines order |
B. | job order |
C. | processing order |
D. | working order |
Answer» C. processing order |
35. | |
A. | processing |
B. | waiting |
C. | free |
D. | idle |
Answer» D. idle |
36. | |
A. | objective function |
B. | decision variables |
C. | constraints |
D. | opportunity cost |
Answer» C. constraints |
37. | |
A. | less than |
B. | greater than |
C. | not greater than |
D. | not less than |
Answer» A. less than |
38. | |
A. | infeasible |
B. | infinite |
C. | unbounded |
D. | feasible |
Answer» D. feasible |
39. | |
A. | multiple constraints |
B. | infinite constraints |
C. | infeasible constraints |
D. | mixed constraints |
Answer» D. mixed constraints |
40. | |
A. | outgoing row |
B. | key row |
C. | interchanging row |
D. | basic row |
Answer» B. key row |
41. | |
A. | null resource |
B. | scarce resource |
C. | abundant resource |
D. | zero resource |
Answer» C. abundant resource |
42. | |
A. | unit price |
B. | extra price |
C. | retail price |
D. | shadow price |
Answer» D. shadow price |
43. | |
A. | either zero or positive |
B. | either zero or negative |
C. | only positive |
D. | only negative |
Answer» B. either zero or negative |
44. | |
A. | vogel’s approximat ion method |
B. | nwcr |
C. | lcm |
D. | modi |
Answer» A. vogel’s approximat ion method |
45. | |
A. | dummy |
B. | penalty |
C. | regret |
D. | epsilon |
Answer» D. epsilon |
46. | |
A. | there is no degeneracy |
B. | degeneracy exists |
C. | solution is optimum |
D. | problem is balanced |
Answer» A. there is no degeneracy |
47. | |
A. | dummy |
B. | non-critical |
C. | important |
D. | critical |
Answer» D. critical |
48. | |
A. | one |
B. | zero |
C. | highest |
D. | equal to duration |
Answer» B. zero |
49. | |
A. | optimistic |
B. | pessimistic |
C. | expected |
D. | most likely |
Answer» A. optimistic |
50. | |
A. | processing time |
B. | waiting time |
C. | elapsed time |
D. | idle time |
Answer» C. elapsed time |
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