The use of decision models. A. Is possible when the variables value is known B. Reduces the scope of judgement & intuition known with certainty in decision-making C. Require the use of computer software D. None of the above
51. In the basic EOQ model, if the lead time increases from 2 to 4 days, the EOQ will ______________
Correct answer: (B) 52. When the sum of gains of one player is equal to the sum of losses to another player in a game, this situation is known as ______________.
Correct answer: (C) 53. In the network, one activity may connect any ______________ nodes Correct answer: (B) 54. Graphical method is also known as ______________.
Correct answer: (D) 55. If the given Linear Programming Problem is in its standard form then primal-dual pair is ______________.
Correct answer: (B) 56. The method used to solve Linear Programming Problem without use of the artificial variable is called ______________.
Correct answer: (C) 57. When the total demand is equal to supply then the transportation problem is said to be ______________
Correct answer: (A) 58. For finding an optimum solution in transportation problem ______________ method is used.
Correct answer: (C) 59. Linear Programming Problem is a technique of finding the ______________.
Correct answer: (A) 60. Any solution to a Linear Programming Problem which also satisfies the non- negative notifications of the problem has ______________.
Correct answer: (D)
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1.Simplex 2.Big-M 3.Modi 4.hungarian method. Answer:3 Posted Date:-2021-12-03 17:49:00
There are two phases to solve the transportation problem. In the first phase, the initial basic feasible solution has to be found and the second phase involves optimization of the initial basic feasible solution that was obtained in the first phase. There are three methods for finding an initial basic feasible solution,
This article will discuss how to optimize the initial basic feasible solution through an explained example. Consider the below transportation problem. ong>Solution: Step 1: Check whether the problem is balanced or not. Note: If the problem is not unbalanced then the concept of a dummy row or a dummy column to transform the unbalanced problem to balanced can be followed as discussed in this article. Step 2: Finding the initial basic feasible solution. Now, the total cost of transportation will be (200 * 3) + (50 * 1) + (250 * 6) + (100 * 5) + (250 * 3) + (150 * 2) = 3700. Step 3: U-V method to optimize the initial basic feasible solution. – For U-V method the values ui and vj have to be found for the rows and the columns respectively. As there are three rows so three ui values have to be found i.e. u1 for the first row, u2 for the second row and u3 for the third row. There is a separate formula to find ui and vj, Before applying the above formula we need to check whether m + n – 1 is equal to the total number of allocated cells or not where m is the total number of rows and n is the total number of columns. Now to find the value for u and v we assign any of the three u or any of the four v as 0. Let we assign u1 = 0 in this case. Then using the above formula we will get v1 = 3 as u1 + v1 = 3 (i.e. C11) and v2 = 1 as u1 + v2 = 1 (i.e. C12). Similarly, we have got the value for v2 = 1 so we get the value for u2 = 5 which implies v3 = 0. From the value of v3 = 0 we get u3 = 3 which implies v4 = -1. See the image below: Now, compute penalties using the formula Pij = ui + vj – Cij only for unallocated cells. We have two unallocated cells in the first row, two in the second row and two in the third row. Lets compute this one by one.
The Rule: If we get all the penalties value as zero or negative values that mean the optimality is reached and this answer is the final answer. But if we get any positive value means we need to proceed with the sum in the next step. Now find the maximum positive penalty. Here the maximum value is 6 which corresponds to C21 cell. Now this cell is new basic cell. This cell will also be included in the solution. The rule for drawing closed-path or loop. Starting from the new basic cell draw a closed-path in such a way that the right angle turn is done only at the allocated cell or at the new basic cell. See the below images: Assign alternate plus-minus sign to all the cells with right angle turn (or the corner) in the loop with plus sign assigned at the new basic cell. Consider the cells with a negative sign. Compare the allocated value (i.e. 200 and 250 in this case) and select the minimum (i.e. select 200 in this case). Now subtract 200 from the cells with a minus sign and add 200 to the cells with a plus sign. And draw a new iteration. The work of the loop is over and the new solution looks as shown below. Check the total number of allocated cells is equal to (m + n – 1). Again find u values and v values using the formula ui + vj = Cij where Cij is the cost value only for allocated cell. Assign u1 = 0 then we get v2 = 1. Similarly, we will get following values for ui and vj. Find the penalties for all the unallocated cells using the formula Pij = ui + vj – Cij.
There is one positive value i.e. 1 for C32. Now this cell becomes new basic cell. Now draw a loop starting from the new basic cell. Assign alternate plus and minus sign with new basic cell assigned as a plus sign. Select the minimum value from allocated values to the cell with a minus sign. Subtract this value from the cell with a minus sign and add to the cell with a plus sign. Now the solution looks as shown in the image below: Check if the total number of allocated cells is equal to (m + n – 1). Find u and v values as above. Now again find the penalties for the unallocated cells as above.
All the penalty values are negative values. So the optimality is reached. Now, find the total cost i.e. (250 * 1) + (200 * 2) + (150 * 5) + (50 * 3) + (200 * 3) + (150 * 2) = 2450 Article Tags : Practice Tags : |