Title | Practice Problems Capacity Planning Solutions |
---|---|
Author | Lee Ka Chun Ben |
Course | Operations Management |
Institution | 香港科技大學 |
Pages | 3 |
File Size | 122.1 KB |
File Type | |
Total Downloads | 46 |
Total Views | 153 |
Download Practice Problems Capacity Planning Solutions PDF
Solutions to Practice Questions on Capacit y Planning
10. Plastic
Year 1
Year 2
Year 3
Year 4
97
115
136
141
Percentage of capacity used
48.5%
57.5%
68.0%
70.5%
Machine requirements
.485
.575
.680
.705
Labor requirements
1.94
2.30
2.72
2.82
Year 1
Year 2
Year 3
Year 4
21
24
29
34
Percentage of capacity used
58.3%
66.7%
80.6%
94.4%
Machine requirements
1.75
2.00
2.42
2.83
Labor requirements
3.50
4.00
4.84
5.66
Demand for plastic sprinklers
Bronze Demand for bronze sprinklers
Note that: Machine requirements = percentage of capacity used * number of machines available Labor requirements = machine requirements * number of operators needed for each machine.
14.
.40 High Small Facility
$12 Million
$6 Million Low .60 Do nothing
$0
.40
Large Facility
High $9 Million
$10 Million
Low .60
18 Million
$10 Million
For the small facility, NPV = .40 ($12 Million) + .60 ($10 Million) - $6 Million = $4.8 Million Do nothing, NPV = $0 For the large facility NPV = .40($18 Million) + .60($10 Million) - $9 Million = $4.2 Million Therefore, build the small facility. To calculate value of perfect information, first find the optimal capacity decision under each demand scenario: if demand is high, then the best option is building large facility, because it results in a profit of $18-$9 = $9M, higher than building small facility ($12$6=$6M), or doing nothing ($0); if demand is low, then the best option is building small facility, as $10 - $6 = $4M > $10 - $9 >$0. Hence, after acquiring the perfect information, the expected profit is $9 * 0.4 + $4 * 0.6 = $6M. Comparing with the case without the perfect information (when you have to rely on expectations to make the capacity decision and as calculated above, you get $4.8M), the increase in profit is $6 $4.8 = $1.2. Hence, the value of perfect information equals to $1.2.
15.
.70 Shopping Center
.30 1
Rezoned .60
.60
$3 Million
3
$5 Million
$3,000 x 1500 =$4.5 Million
Apartments 2
.40 Not Rezoned
$4 Million
.40
$2,000 x 1500 = $3 Million
$2 Million Houses $4,000 x 600 = $2.4 Million
Rezoned shopping center: Point 1: Expected value = .70($4 Million) + .30($5 Million) = $4.3 Million Rezoned apartments: Point 2: Expected value = .60($4.5 Million) + .40($3 Million) = $3.9 Million Since a shopping center has more value, prune the apartment choice. In other words, if rezoned, build a shopping center with a profit of $4.3 Million - $3 Million = $1.3 Million If not rezoned: Point 3: Expected Profit is $2.4 Million - $2 Million = $.4 Million Expected profit is .60($1.3 Million) + .40($.4 Million) = $.94 Million...