| dc.description.abstract | PT. Industri Invilon Sagita is a company that produces PVC-based products such
as doors, pipe fittings, sills, cable covers, pipe glue, and pipes. Every day the
machines used work 24 hours divided into 3 shifts. This makes the importance of
the effectiveness of production machines so that they can be used optimally in the
production process. One of the machines used in making PVC pipes is an extruder
machine. An extruder machine is a machine that functions to process PVC material
from powder form into ready-to-print dough through a heating process. However,
in reality, what happens in the field, this machine often experiences interference or
damage which makes this machine unable to operate optimally. Therefore, this
study aims to calculate the value of the effectiveness of the extruder machine using
the Overall Equipment Effectiveness (OEE) method. The OEE value is then
identified using the Six Big Losses method to obtain the loss factor. Then, an
analysis was carried out using five why analysis, fishbone diagrams, and the
Failure Mode & Effect Analysis method to find the root of the problem and design
a proposed improvement. The results of the research show that the OEE of the
extruder machine in 2022 is 66.56% or is included in the standard category. The
low OEE value is caused by a performance rate factor of 86.13% and a quality rate
of 81.09% which is still below world-class standards. The low value of the
performance rate is due to the high value of idling & minor stoppage losses and
reduced speed losses. Idling & minor stoppages have an average loss value of
42.96%, a loss time of 282.06 hours, and a percentage of losses of 56.66%. Reduced
speed losses have an average of 13.01%, a loss time of 86.31 hours, and a
percentage of losses of 17.33%. Meanwhile, the low-quality rate is influenced by
the high value of reject losses by having an average loss of 15.65%, a loss time of
99.98 hours, and a percentage of losses of 20.08%. There are several proposed
improvements that can be implemented based on the 8 pillars of TPM, namely
education & training, focused improvement, autonomous maintenance, and
planned maintenance. | en_US |
