MU Mechanical Engineering (Semester 7)
Production Planning and Control
May 2015
Total marks: --
Total time: --
INSTRUCTIONS
(1) Assume appropriate data and state your reasons
(2) Marks are given to the right of every question
(3) Draw neat diagrams wherever necessary


Solve any four of the following:
1 (a) Master Production Schedule.
5 M
1 (b) Kanban
5 M
1 (c) MRP II
5 M
1 (d) Capacity Planning
5 M
1 (e) Shop Floor Control
5 M
1 (f) Framework of MPC System with function of each Module.
5 M

2 (a) Seven jobs, each of which has to through the machines M1 and M2 in the order M2M1, have the following processing times in hours:
Job A B C D E F G
Machine M1 3 12 15 6 10 11 9
Machine M2 8 10 10 6 12 1 3

i) Determine the optimal sequence that will minimize the total elapsed time. Also find the idle time of each machine.
ii) If the oder is reversed to M1M2, what difference will it make to the calculated result and idle times.
10 M
2 (b) Find the optimal assignment (Effectiveness matrix in man-hor needed):
Worker Job
A B C D
1. 5 3 2 8
2. 7 9 2 6
3. 6 4 5 7
4. 5 7 7 8
10 M

3 (a) Solve the following problem by Simplex Method: Zmax=2xi+3x2.
Subjected to: x1+x2≤10; 2x1+3x2≤5; x1x2≥10.
5 M
3 (b) A firm manufactures three products A, B and C, Time to manufacture product A is twice that for B and thrice that for C and theyare to be produced in the ratio 3:4:5. The relevant data is given in the following table:
Raw
Material
Requirement per unit of product (kg) Total
Availability
(kg)
A B C
P 6 5 9 5,000
Q 4 7 8 6,000

If the entire labour is engaged in manufacturing product A, 1,600 unit of this product can be produced. There is demand for at least 300, 250 and 200 units of product A, B and C and the profit earned per unit is Rs. 50, Rs. 40 and Rs. 70 respectively.
Formulate the problem as Linear Programming problem.
10 M

4 (a) The demand for an item is Rs. 18,000 per year. Production rate is 3000 unit / month. The carrying cost is Rs. 0.15 / unit / month and the setup cost is Rs. 500 per setup. The shortage cost is Rs. 20.00 per unit per year. Find the following parameters:
i) Economic Batch Quantity
ii) Maximum Inventory
iii) Maximum Stock-out
iv) Cycle Time
v) Inventory Period
vi) Shortage Period.
10 M
4 (b) Estimate the sales forecast for the year 2000, using exponential smoothing forecastor. Take α=0.5 and the forecast for hea year 1995 as 160 × 105 units. Compare the forecast with least square method.
Year 1995 1996 1997 1998 1999
Sales Rs. (×105 180 168 159 170 188
10 M

5 (a) The activities involved in a small project are given below along with relevant information. Construct the network diagram and find the critical path and floats for each activity.
Activity 1-2 1-3 2-3 2-4 3-4 4-5
Duration 20 25 10 12 6 10
10 M
5 (b) The time estimate (in weeks) for activities of a P.E.R.T. network are given below:
i) Draw the network and identify all the paths
ii) Determine the expected project length
ii) Calculate the standard deviation and variance of the project in Tabular form.
Activity Optimistic
Time t0
Most Likely
TIme tm
Pessimistic
Time tp
1-2 1 1 7
1-3 1 4 7
1-4 2 2 8
2-5 1 1 1
3-5 2 5 14
4-6 2 5 8
5-6 3 6 15
10 M

6 (a) Complete the MRP plan for the component shown below. Use lot size=60 and lead time of 1 weeks and safety stock=10:
If the lot size is changed to 80 units, redraw the MRP plan and recalculate the table.
Component 1 2 3 4 5 6 7 8
Gross
Requirements
    60   140 30 130  
Scheduled
Receipts
50   50       50  
On hand at the
end of period
 20                
Planned Order
Realease
               
10 M
Explain the following:
6 (b) (i) Purchasing and EDI in MPC.
5 M
6 (b) (ii) CRP with flow diagram.
5 M

7 (a) "A company has three factories X,Y, Z. It supplies good to four warehouse W1, W2, W3 and W4. The production of the factories and demand of the warehouse are shown in the table. Determine the optimal solution of the problem.

 
Warehouse  
W1 W2 W3 W4 Production
Capacity
Factory X 19 30 50 12 7
Y 70 30 40 60 10
Z 40 10 60 20 18
Demand   5 8 7 15  
"
10 M
7 (b) Discuss the advantages and limitations of Simulation.
5 M
7 (c) Explain lean and Agile Manufacturing in detail.
5 M



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