Majalah Ilmiah UNIKOM
Vol.10 No. 1
74
H a l a m a n
number of elevator runs is interpreted as
the power consumption for that elevator.
The average waiting time is measured in
seconds and the long wait probability is in
percent (%).
The Figure 14 and Figure 15 below show
the traffic profile for down-peak traffic and
up-peak traffic. The simulation results
represented by these evaluation criteria are
shown in Table 4.
Table 3 The Condition of Simulation
Figure 14. Profile for down-peak traffic
Figure 15. Profile for up-peak traffic
Muhammad Aria
Number of floors
15
Number of elevators
3
Elevator capacity
20 man
Simulation time
12:00 – 15:00
Time to open the door
1 seconds
Time to close the door
1 seconds
Time
for
each
passenger to get in
1 seconds
Time the door remains
open
2 seconds
Type-1 Fuzzy
Type-2 Fuzzy
Improvement
(%)
Before lunch
AWT
30.3
26.3
13.3
12:00 – 12:40
PC
48.0
52.8
-10
LWP
7.7
6.1
20.5
After lunch
AWT
36.9
29.5
20
12:40 – 13:20
PC
46.0
52
-13
LWP
12.9
10.3
20
Common time
AWT
32.7
34.9
-6.7
13:20 – 15:00
PC
51
48.6
4.7
LWP
10.2
10.7
-4.7
Total
AWT
33.3
30.2
9.2
12:00 – 15:00
PC
48.3
51.1
-5.8
LWP
10.3
9.0
12.0
Table 4 The Simulation Results