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Fig. 3.
Tree structure used in experiment
4.2 Results
First, Table 3 lists the final states for each maximum event generation quan-
tity
M
and maximum event generation probability
P
. The processed events
represents the number of events processed through 6000 steps. The risk, minor
accidents, major accidents, and fatal accidents are the numbers of each remain-
ing event after 6000 steps. As presented in Table 3, the greater
M
and
P
become,
the lower the observed production rate. On the other hand, the number of pro-
cessed events is increased due to an increase in both parameters. This means
that the worker agents have the performance capacity to process more events.
However, minor and major accidents occurred when
P
=0
.
20 and
M
= 10. This
suggests that the number of generated events exceeded the performance capacity
of the worker agents.
Tabl e 3.
Final states of simulation runs for each maximum event generation quantity
M
and maximum event generation probability
P
. The production rate was calculated
as a moving average of 100 steps. The processed events means the number of events
processed through 6000 steps, and the risk, minor accidents, major accidents, and fatal
accidents means the numbers of each remaining event at 6000 steps.
PM
Production Processed events Risk
Minor
Major
Fatal
rate [%]
accidents accidents accidents
0.1
5
88.3
2651.7
2.3
0.0
0.0
0.0
0.15
5
82.9
3729.7
3.6
0.0
0.0
0.0
0.2
5
78.4
4683.8
5.0
0.0
0.0
0.0
0.1
10
78.1
4674.4
5.2
0.0
0.0
0.0
0.15 10
67.2
6152.1
7.6
0.0
0.0
0.0
0.2
10
56.0
6821.6
8.9
0.6
0.1
0.0
Next, Fig. 4 shows the time-series of the moving averages for 100 steps of the
production rate with
M
= 10. As shown in Fig. 4, there are no drastic changes
in the production rate. However, with the greater
P
, a wider range of changes
appeared. In other words, an increase in
P
disrupts the production safety.
