DataSpan, Inc., automated its plant at the start of the current
year and installed a flexible manufacturing system. The company is
also evaluating its suppliers and moving toward Lean Production.
Many adjustment problems have been encountered, including problems
relating to performance measurement. After much study, the company
has decided to use the performance measures below, and it has
gathered data relating to these measures for the first four months
of operations.
Month |
|||||
1 |
2 |
3 |
4 |
||
Throughput time (days) |
? |
? |
? |
? |
|
Delivery cycle time (days) |
? |
? |
? |
? |
|
Manufacturing cycle efficiency (MCE) |
? |
? |
? |
? |
|
Percentage of on-time deliveries |
79% |
80% |
85% |
92% |
|
Total sales (units) |
10,550 |
10,450 |
10,430 |
10,560 |
|
Management has asked for your help in computing throughput time, delivery cycle time, and MCE. The following average times have been logged over the last four months:
Average per Month (in days) |
|||||||||
1 |
2 |
3 |
4 |
||||||
Move time per unit |
0.5 |
0.3 |
0.6 |
0.7 |
|||||
Process time per unit |
0.6 |
0.5 |
0.4 |
0.6 |
|||||
Wait time per order before start of production |
9.0 |
8.0 |
5.0 |
4.0 |
|||||
Queue time per unit |
3.2 |
3.8 |
2.4 |
1.3 |
|||||
Inspection time per unit |
0.8 |
0.3 |
0.4 |
0.5 |
|||||
1-c. Compute the delivery cycle time for each month. (Round your answers to 1 decimal place.)
|
Workings
Deliverycycle time= wait time+ throughput time
= Wait time+(process time+ queue time+ inspection time+ move time)
Hence for Month 1
Delivery time= 9+(0.5+0.6+0.8+3.2)
=9+5.1=14.1 days
Throughput time = 5.1 days
Month 2=
8.0+(0.3+0.5+3.8+0.3)=8+4.9= 12.9 days
Throughput = 4.9 days
Month 3=
5.0+(0.6+0.4+2.4+0.4)= 5+3.8 days
Throughput= 3.8days
Month 4=
4+(0.7+0.6+1.3+0.5)=4+3.1=7.1days
Throughput=3.1 days
Computation showing delivery cycle time
Month | Days |
Month 1 | 14.1 |
Month 2 | 12.9 |
Month 3 | 8.8 |
Month 4 | 7.1 |
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