Page 160 - ASBIRES-2017_Preceedings

Jayalath & Francisco

Pie-charts were used to show the significance. There is a correlation between
distribution pattern graphically with the help OEE and independent variables.
of corresponding tables. According to the
descriptive analysis 59 days were 4.3 significance of the coefficient
represented by the total loss times of Constant term:
bunching machine section. H0: β0 = 0 H1: β0 ≠ 0
Since P value = 0.023 <0.05, it can
be concluded that reject H0 at 5% level of
significance. Therefore the constant term
(β0) is significant.

Start-up losses:
H0: β1 = 0 H1: β1 ≠ 0

Since P value = 0.038<0.05, it can be
concluded that reject H0 at 5% level of
significance.

Set-up and adjustment losses:
Figure 2: Down times in minutes of coiling H0: β2 = 0 H1: β2≠ 0
machines
Since P value = 0.001<0.05, it can be
37 days were represented by the concluded that reject H0 at 5% level of
coiling machine down time. significance.

Further analysis was done using the Minor and idling losses:
multiple regression method via checking all H0: β2 = 0 H1: β2≠ 0
the multiple regression assumptions. Seven Since P value = 0.000<0.05, it can be
types of cable production machines used to concluded that reject H0 at 5% level of
collect the data.
significance.
4.2 Hypothesis Testing

Table 2: Coefficient values of multiple

H0: There is no correlation between regression model
dependent variable and independent
variables Model Coefficient P
Value
H1: There is a correlation between Constant 9.967 .023
dependent variable and independent
variables Start-up losses -.009 .038
Set-up and adjustment
Table 1: Correlation analysis losses -.045 .001
P value Minor and idling losses -.113 .000
Machine Breakdown
Start-up losses 0.047 losses -.020 .000
Set-up and adjustment losses 0.043 Shutdown losses -.005 .722
Minor and idling losses 0.001
Machine Breakdown losses 0.000 Machine Breakdown losses:
Shutdown losses 0.042 H0: β2 = 0 H1: β2≠ 0
Since P value = 0.000<0.05, it can be
According to the correlation table all
the P values <0.05. Hence conclusion of this concluded that reject H0 at 5% level of
study is to reject H0 at 5% level of significance

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