Step 3: Derive the aggregation equation and decision rule
The aggregation equation is derived based on characteristics of the objectives and performance measures using mathematical modeling principles. For example:
Ranking Measure = [ 80 x (Frequency of Use x Benefit per Use) - 20 x Weight ] / Size
|
|
Item
|
Frequency
(No. times used)
|
Benefit per Use Score
4=major, 3=significant, 2=moderate, 1=minor, 0=none
|
Pounds
|
Cubic inches
|
Ranking Measure
|
Cumulative Space Used
(3000 cu in max)
|
Decision
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|
Prescription medicine
|
7
|
4
|
0.1
|
3
|
746
|
3
|
Pack
|
|
Swimming trunks
|
4
|
3
|
.2
|
11
|
97
|
14
|
Pack
|
|
Camera
|
4
|
4
|
0.5
|
25
|
51
|
39
|
Pack
|
|
:
|
:
|
:
|
:
|
:
|
:
|
:
|
:
|
|
:
|
:
|
:
|
:
|
:
|
:
|
:
|
:
|
|
Hawaiian shirt
|
2
|
1
|
0.2
|
26
|
6
|
3000
|
Pack
|
|
Tennis racket
|
2
|
2
|
1
|
100
|
3
|
3100
|
Don't
|
|
Bowling ball
|
2
|
3
|
14
|
800
|
0.3
|
3900
|
Don't
|
Although this priority system seems to work, it's always a good idea to test a priority system's limitations. Think of items that might be misranked. For example, this system will give bad
advice for packing cash (risk of theft is ignored), tennis balls (interdependencies with the unpacked tennis racket are ignored), and fresh bagels (time-limited benefits are ignored). Whether limitations
need to be addressed depends on the application.
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