  Process mining has become one of the best programs that can outline the event
logs of production processes in visualized detail. We have addressed the
important problem that easily occurs in the industrial process called
Bottleneck. The analysis process was focused on extracting the bottlenecks in
the production line to improve the flow of production. Given enough stored
history logs, the field of process mining can provide a suitable answer to
optimize production flow by mitigating bottlenecks in the production stream.
Process mining diagnoses the productivity processes by mining event logs, this
can help to expose the opportunities to optimize critical production processes.
We found that there is a considerable bottleneck in the process because of the
weaving activities. Through discussions with specialists, it was agreed that
the main problem in the weaving processes, especially machines that were
exhausted in overloading processes. The improvement in the system has measured
by teamwork; the cycle time for process has improved to 91%, the worker's
performance has improved to 96%,product quality has improved by 85%, and lead
time has optimized from days and weeks to hours.
