Improvement of Material Flow in the Production and Supply Chain of ...

After deleting the un-normal data in the samples of TTF and TTR, the tendency of
each curve is shown in Figure 3.3. Try to add the tendency lines for the observational
lines by Excel, the tendency lines can be described by the function of moving average.
The moving averages are usually used in the financial field while the parameters
studied in this paper are around the production. So there is no real significance to add
the tendency lines for the observational data. The moving average here only shows a
trend of the real observational lines.
TTF/sec.
500.0
400.0
300.0
200.0
100.0
0.0
20
TTF of Preassembly Line
23
25
27
33
week
35
37
39
Figure 3.3 TTF & TTR Trend of Preassembly Line
In the primary analysis phase it can be given a descriptive statistic. The results are
shown in Table 3.1. Associating with the Extend there is a Triangular Distribution can
be used. The parameters are the maximum data, minimum data and the most likely
data. The maximum data and minimum data can get from the table directly. The most
likely data is the mode, if follow the original data there is no mode. But if deal the
data with the rounded method up to the tens digit then the modes of TTF and TTR are
gained. And they can be approximately seemed as the most likely data.
Table 3.1 Descriptive Statistic of TTF and TTR of Preassembly Line
TTF of Preassembly Line TTR of Preassembly Line
Mean 328.44 Mean 177.31
Standard Error 14.91 Standard Error 16.22
Median 310.95 Median 151.65
Mode 280 Mode 140
Standard Deviation 59.65 Standard Deviation 64.90
Sample Variance 3557.73 Sample Variance 4211.82
Kurtosis -0.56 Kurtosis -0.67
Skewness 0.82 Skewness 0.87
Range 193.40 Range 200.90
Minimum 256.90 Minimum 100.90
Maximum 450.30 Maximum 301.80
Sum 5255.10 Sum 2836.90
Count 16 Count 16
TTR/sec.
400.0
300.0
200.0
100.0
0.0
20
TTR of Preassembly Line
23
25
27
33
Week
35
37
39
13