Application of Process Mining and Sequence Clustering in Recognizing an Industrial Issue

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Tác giả: Hamza Saad

Ngôn ngữ: eng

Ký hiệu phân loại: 658.577 Equipment and process research

Thông tin xuất bản: 2023

Mô tả vật lý:

Bộ sưu tập: Metadata

ID: 198481

 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.
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