Answer a:
We can draw a network diagram for the given problem as mentioned below:
Answer b:
We will formulate the given problem as a linear programming model as mentioned below:
Decision Variables:
Let i= A Particular Bidder = A, B, C, D, E, F and j = A particular distribution Hub = 1, 2, 3, 4
Then, Cij = Cost of assigning the bidder 'i' to a distribution hub 'j'
Xij = { 1 if a bidder 'i' is assigned to a distribution hub 'j' | 0 otherwise }
Objective Function:
Where m = Total No. of Bidders = 6, n = Total No. of distribution hubs = 4
Subject to Constraints:
Xij = {0 , 1}
Answer c:
As no specific information is mentioned in the question, we will solve the given assignment problem by following the steps of the Hungarian Method of Task (Job) Assignment as mentioned below:
We are given the following problem-table:
Step 1: Here given problem is unbalanced, so add 2 new columns with the cost as '0' o convert it into a balance:
Step 2: Pick a minimum element from each row and subtract it from that row:
Step 3: Now, find out each column minimum element and subtract it from that column:
Step 4: Draw a set
of horizontal and vertical lines to cover all the '0s' by following
the substeps as mentioned below:
a. Tick(✓) mark all the rows in which no assigned 0.
b. Examine Tick(✓) marked rows, If any 0 cell occurs in that row,
then tick(✓) mark that column.
c. Examine Tick(✓) marked columns, If any assigned 0 exists in that
columns, then tick(✓) mark that row.
d. Repeat this process until no more rows or columns can be
marked.
e. Draw a straight line for each unmarked rows and marked
columns.
Hence, we get:
Step 5: Develop the
new revised table by selecting the smallest element, among the
cells not covered by any line (say k = 5)
Subtract k = 5 from every element in the cell not covered by a
line.
Add k = 5 to every element in the intersection cell of two
lines.
Step 6:
Here, follow the sub-steps as mentioned below to draw a set of horizontal and vertical lines:
Step 7:
Develop the new revised table by
selecting the smallest element, among the cells not covered by any
line (say k = 10)
Subtract k = 10 from every element in the cell not covered by a
line.
Add k = 10 to every element in the intersection cell of two
lines.
Step 8:
Here, follow the sub-steps as mentioned below to draw a set of horizontal and vertical lines:
Step 9: Develop the
new revised table by selecting the smallest element, among the
cells not covered by any line (say k = 5)
Subtract k = 5 from every element in the cell not covered by a
line.
Add k = 5 to every element in the intersection cell of two
lines.
Step 10:
Here, follow the sub-steps as mentioned below to draw a set of horizontal and vertical lines:
There are 6 lines required to cover all zeros, which is equal to the size of the matrix (6), so an optimal assignment exists and the algorithm stops.
Thus, we get the optimal assignments as mentioned in the below table:
Hence, the optimal solution:
Note: Bidders C and D would remain unassigned.
(Kindly raise an upvote for this answer, if you found it useful)
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