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J 8
J 7
J 6
J 5
J 4
J 3
J 2
J 1
2
4
6
8
10
12
14
16
18
20
Fig. 1. The maximal ranges [ l i ,u i ] of possible variations of the processing times p i ,i ∈
{ 2 , 4 , 6 , 8 }, within the stability box SB ( π 1 ,T ) are dashed
Each job J i , i ∈{ 1 , 3 , 5 , 7 }, has an empty range of possible variations of the time p i
preserving the optimality of permutation π 1 since d i >d i
(see columns 5 and 6 in
SB ( π 1 ,T ) is equal to 4=8 4 .The
volume of this stability box is equal to 9=3 · 1 · 3 · 1 .
In [12], an O ( n log n ) algorithm STABOX has been developed for calculating the
stability box
Table 1). The dimension of the stability box
SB ( π k ,T ) for a fixed permutation π k ∈ S .
For practice, the value of the relative volume of a stability box is more useful than
its absolute value. The relative volume of a stability box is defined as the product of the
fractions
w i
d i
: p i
− p i
w i
d i
(10)
for the jobs J i ∈J
having non-empty ranges [ l i ,u i ] of possible variations of the pro-
cessing time p i (inequality d i
≤ d i
must hold for such a job J i ∈J
).
The relative volume of the stability box for permutation π 1 in Example 1 is calculated
as follows: 8 · 4 · 9 · 5 =
1
160
. The absolute volume of the whole box of the scenarios
T is equal to 2880 = 1 · 8 · 4 · 1 · 9 · 2 · 5 . The relative volume of the rectangular box T
is defined as 1.
3.2
Properties of a Stability Box
A job permutation in the set S with a larger dimension and a larger volume of the
stability box seems to be more efficient than one with a smaller dimension and (or) a
smaller volume of stability box.
We investigate properties of a stability box, which allow us to derive an O ( n log n )
algorithm for choosing a permutation π t ∈ S which has
(a) the largest dimension
|N t |
of the stability box
SB ( π t ,T )= × t i ∈N t [ l t i ,u t i ] ⊆ T
among all permutations π k ∈ S and
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