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MCA Semester 1 CS-51
Operations Research - June 2001


Submitted by: Radhik            1  | 2 | 3 | 4 | 5 Submit your Code

1. a. Explain briefly any two of the following OR techniques: (6)
i. Linear Programming
ii. CPM
iii. M/< / 8 queing model
iv. Dynamic Programming

b. Product Mix Problem: Give the Linear Programming formulation of the following problem:

The products A and B are produced in three machine centers X, Y and Z. Each product involves operation of each of the machine centers. The time required for each operation unit amount of each product is given below: Time available at machine centers X, Y and Z are 100, 77 and 80 hours respectively. The profit per unit of each of A and B is Rs. 12 and Rs. 3 respectively. (3)



Product
Machine Centers
Profit Per Unit
  X Y Z III
A 10 7 2 12
B 2 3 4 3
    -    

c. Enumerate various important steps in OR study and discuss one of the steps briefly: (4)

d. Explain the following concepts in context of Linear Programming / OR ( 3)
i. Objective Function
ii. Convex Polygon
iii. Redundant Constraint

e. Explain the following in context of Transportation Problem (not exceeding three sentences for each):
i. Stepping Stone Method
ii. Degenerate Transportation Problem
iii. The Modified Distribution Method

f. Explain the following in context of Assignment Problem (not exceeding three sentences for each): (3)
i. Balanced Assignment Problem
ii. Hungarian Method
iii. an Infeasible Assignment

g. Company XYZ produces two products. The maximum sales potential for product 1 and product 2 are 30 units and 40 units respectively. Write the goal constraints for achieving the sales goal by incorporating the deviational variables. (3)

h. Explain the following concepts in context of Dynamic Programming (not exceeding three sentences for each): (3)
i. Principle of Optimality
ii. State
iii. Stage

j. Explain the following in context of Inventory Control: (2)
i. Decoupling
ii. VED classification
iii. Delivery Lag

2. Solve the Product Mix Problem given above as Q. No 1(b), using either Graphical Method or Simplex Method of Linear Programming. (15)

3. A sales manager has to assign to four territories, He has four candidates of varying experience and capabilities and assesses the possible profit in suitable units for each salesman in each territory as given below:

Salesman

Territories
  T1 T2 T3 T4
S1 25 27 28 37
S2 28 24 29 40
S3 35 24 32 33
S4 24 32 25 28

Find an assignment that maximizes the profit(15)

4. a. Determine the optimum strategies and the vale of the game from the following 2 x m pay-off matrix game for X: (8)



Y
X 6 3 -1 0 -3
25272837
3 2 -4 2 -1

b. An item is sold for Rs. 25 per unit and it costs Rs. 10. Unsold items can be sold for Rs. 4 each. It is assumed that there is no shortage penalty cost besides the lost revenue. The demand is known to be any value between 600 and 1000 items. Determine the optimal number of units of the item to be stocked. (7)

5.a. An item is used at a uniform rate of 50,000 units per year. No shortage is allowed and delivery is at an infinite rate. The ordering, receiving and hauling cost is Rs. 13 per order, while inspection csot is Rs. 12 per order. Interest costs Rs. 0.056 and deterioration and obsolescence cost Rs. 0.004 respectively per year for each item actually held in inventory plus Rs. 0.02 per year per unit based on the maximum number of units in inventory. Calculate the Economic Order Quantity (EOQ). If lead time is 20 days, find reorder level. (7)

b. An item is produced at the rate of 50 units per day and is consumed at the rate of 25 units per day. If the set-up cost is Rs. 100 per production run and holding cost in stock is Rs. 365 per unit per year, find the economic lot size per run, number of runs per year and total related cost. (8)

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