Page 161 - ASBIRES-2017_Preceedings

STUDY ON FACTORS AFFECTING TO MACHINE OVERALL EQUIPMENT EFFICIENCY
Shutdown losses:
H0: β2 = 0 H1: β2≠ 0
Since P value = 0.722>0.05, it can be
concluded that reject H0 at 5% level of
significance.
4.4 Model Summary
Table 3: Model summary
Model R R Square Sig.
1 .730 .532 .000
The R-Squared value of 0.532 indicated
that 53.2% of the variation in dependent
variable (OEE) is explained by this model.
4.5 Model Significance
H0: The model is not significant
H1: The model is significant
According to model summary table,
Since P value 0.000 < 0.05, it can be
concluded that reject H0 at 5% level of
significant.
Therefore the model equation,
OEE (%) = (9.967) - 0.009* Start-up losses -
0.045* Set-up and adjustment losses -
0.113* Minor and idling losses - 0.020*
Machine Breakdown losses
5 RESULTS AND DISCUSSION
An analysis result shows that the most
appropriate factors affecting to overall
equipment efficiency. According to the
research findings only four factors become
significant and there is a simple impact of
other factor. There are encounter problems
as well for affecting to decrease the value of
OEE. Machine operators were with
insufficient knowledge and in some cases
they were failed to accurately update the
production loss time sheets and have
clarified those things by contacting them
whenever necessary. Lack of knowledge on
raw materials, machine components, and
other things have impacted on the company
initially. Start-up loss can be minimized by
using better plan for element heating process
151
for Extruder machine. Since machine
required around 30 minutes to heat raw
materials cannot obtain output to carry out
daily operation. Therefore it is better to start
heating process of machine 30 minutes
before the starts the works of machine
operators.
6 CONCLUSION
Startup loss, setup and adjustment loss,
minor and idling loss and machine break
down loss were significantly impacted on
the improvement of OEE. Among all factors
minor and idling loss was the most
important factor that should be improved.
When all other factors were eliminated OEE
increased by 9.967. Shutdown loss also
positively impacted on OEE, but it does not
become significant factor. An automatic
OEE calculation system that is governed by
sensors is connected to the equipment,
automatically registering the start time and
duration of a stop page and prompting the
operator to provide the system with
information about the downtime cause.
Training should be a continuous and
progressive process designed to improve the
individual potential of maintenance staff
members. This enables a person to
understand the reason for and purpose of his
efforts
REFERENCES
 Aminuddin, N., Garza, J., Kumar, V., &
Rocha, L. (2016). An analysis of
managerial factors affecting the
implementation and use of overall
equipment effectiveness. International
Journal of Production Research, 54(15),
4430-4447.
 Fore, S., & Zuze, I. (2010). Improvement
of Overall Equipment Effectiveness
through total productive maintenance.
World Academy of Science, Engineering
and Technology 61, 9.
 Hassani, L., & Hashemzadeh, G. (2015).
The impact of overall equipment
effectiveness on production losses in
Moghan cable & wire manufacturing.