Statistical Data Collectors

An Extended Example

The Report

The model report now includes a section each for the Accumulate, Tally and Histogram objects where they list their results.

StatisticsExampleExperiment Report
Model StatisticsExample

Description

This is a simple process-oriented model of the railway station inside a container terminal using bins to represent different storage areas. Container ships arrive at the terminal and deliver containers to the storage areas. From there they are loaded onto trains that leave for four different destinations: Northern, Central, and Eastern Europe
and Germany. Each destination is allocated a storage area (Bin). Trains only load containers from the storage area that is associated with their destination whereas ships deliver containers to all storage areas.

In addition to the two counters from the CountExample model, several other data collectors are added: a tally to record the average time a trains needs to wait for containers, an accumulate to calculate the mean storage load level of the four storage areas, a time series to log the storage load level of the Northern Europe dedicated storage area, and a histogram to record a distribution of ship sizes. Report drawn at 1500.0. Last reset at 0.0.

Accumulates

Title
(Re)set
Obs
Mean
Std.Dev
Min
Max
storage load level
0.0
3681
293.69475
318.0643
20.0
2541.0

Tallies

Title
(Re)set
Obs
Mean
Std.Dev
Min
Max
train wait time
0.0
3431
1.24017
3.48362
0.0
34.53995

Histograms

Title
(Re)set
Obs
Mean
Std.Dev
Min
Max
ship size
0.0
250
822.44
212.17735
388.0
1505.0

 

Cell
Lower Lim.
n
%
Cum. %
|
Graph
0
-Infinity
0
0.0
0.0
|

1
200.0
0
0.0
0.0
|

2
320.0
10
4.0
4.0
|
***
3
440.0
19
7.6
11.6
|
****
4
560.0
37
14.8
26.4
|
********
5
680.0
48
19.2
45.6
|
**********
6
800.0
57
22.8
68.4
|
************
7
920.0
44
17.6
86.0
|
*********
8
1040.0
22
8.8
94.8
|
*****
9
1160.0
8
3.2
98.0
|
**
10
1280.0
3
1.2
99.2
|
*
11
1400.0
2
0.8
100.0
|
*

Counts

Title
(Re)set
Obs
Current Value
Min
Max
number of trains
0.0
3431
3431
0
3431
number of containers
0.0
3431
205685
0
205685

Bins

Title
Order
pass
(Re)set
Prod
Cons
Init
Max
Now
Averg.
avg.Wait
QLimit
QMaxL
refus.
Eastern Europe
FIFO
no
0.0
250
853
50
982
54
76.6829
1.24983
unlimit.
1
0
Northern Europe
FIFO
no
0.0
250
880
50
916
0
76.50206
1.19614
unlimit.
1
0
Central Europe
FIFO
no
0.0
250
822
50
603
69
66.30563
1.3146
unlimit.
1
0
Germany
FIFO
no
0.0
250
876
50
745
2
74.20416
1.20516
unlimit.
1
0

Distributions

Title
(Re)set
Obs
Type
Parameter 1
Parameter 2
Seed
Ships Arrival Stream
0.0
251
Negative Exponential
6.0
 
91080577
No of containers per destination
0.0
1000
Integer Uniform
25.0
400.0
71529105
Train Length Stream
0.0
3435
Integer Uniform
30.0
90.0
43946618

The TimeSeries object has written its output to a log file. We named it StatisticsExample_LoadLevelNorth.txt when initialising the time series. It contains row after row of semi-colon separated pairs of values: the simulation time and the current storage load of the Northern Europe bin.

You may download the full source code of this example if you want to try it out yourself.