Transportation and Assignment Problems - Question Bank
1. What is the main advantage of using the MODI method over the Stepping Stone method for transportation problems?
2. When applying the Hungarian Method to a maximization problem, if the maximum profit is P, what is the resulting matrix for minimization?
3. The concept of 'loops' is fundamental to which methods for solving transportation problems?
4. Which of the following describes the 'Rim' in a transportation tableau?
5. In the Hungarian Method, if we have a 4x4 cost matrix and after line covering, we find 3 lines are needed, what is the implication?
6. What is the primary difference between a transportation problem and a general linear programming problem?
7. The 'Stepping Stone' in the Stepping Stone Method refers to:
8. If a transportation problem has m sources and n destinations, and it is balanced, how many basic variables are there in any basic feasible solution?
9. Which of the following is a key assumption in the standard transportation and assignment problems?
10. What is the 'cost matrix' in the context of assignment problems?
11. If, during the Hungarian Method, we find that the minimum number of lines required to cover all zeros is less than n, it implies:
12. An unallocated cell (i, j) in a transportation problem is checked for optimality using the MODI method by calculating:
13. When using the MODI method, the values of u_i and v_j are determined such that:
14. The MODI method uses dual variables (u_i and v_j) to calculate:
15. What is the relationship between the number of allocations in a basic feasible solution of a transportation problem and the number of sources (m) and destinations (n)?
16. In the context of the Hungarian Algorithm, what does 'covering all zeros with minimum lines' attempt to achieve?
17. The assignment problem can be viewed as a special case of the transportation problem where:
18. Which of the following is NOT a method for finding an initial feasible solution for a transportation problem?
19. What is the minimum number of allocations required to represent a feasible solution in an assignment problem with n agents and n tasks?
20. For a maximization assignment problem, how is it typically converted to a minimization problem suitable for the Hungarian Method?
21. If the number of lines is less than n, what is done in the Hungarian Method?
22. When covering zeros with minimum lines in the Hungarian Method, if the number of lines equals the number of agents/tasks (n), what does this indicate?
23. If an optimal assignment cannot be made with the current zeros (i.e., fewer than n assignments are possible), what is the subsequent step in the Hungarian Method?
24. After performing row and column reductions in the Hungarian Method, the next step typically involves:
25. What is the first step in the Hungarian Method for a minimization problem?
26. The Hungarian Method is an algorithm for:
27. Which method is specifically designed to solve the assignment problem?
28. In an assignment problem, if the number of agents is not equal to the number of tasks, what is the usual procedure?
29. What is the primary objective of an assignment problem?
30. What is an 'assignment problem'?
31. The MODI method is an alternative to the Stepping Stone Method because it:
32. How is degeneracy typically resolved in a transportation problem?
33. What is a 'degenerate solution' in a transportation problem?
34. If all improvement indices are non-negative (for minimization problems), what can be concluded about the current solution?
35. What is the significance of 'improvement indices' or 'opportunity costs' in the Stepping Stone/MODI method?
36. In the context of the Stepping Stone Method, what is a 'closed loop'?
37. The Stepping Stone Method is used to:
38. After obtaining an initial basic feasible solution, how is optimality checked in a transportation problem?
39. What is the core idea behind VAM for finding an initial solution?
40. Vogel's Approximation Method (VAM) is generally preferred for finding an initial solution because it:
41. The Least Cost Method (or Matrix Minimum Method) aims to find an initial solution by:
42. What is the objective of the Northwest Corner Rule in finding an initial solution?
43. Which method is commonly used to find an initial basic feasible solution for a transportation problem?
44. What is a 'balanced' transportation problem?
45. If the total demand is greater than the total supply in a transportation problem, how is it typically handled?
46. If the total supply is greater than the total demand in a transportation problem, how is it typically handled?
47. What does 'demand' represent in the context of a transportation problem?
48. In a transportation problem, what does 'supply' refer to?
49. What is the primary objective of a transportation problem?