Wathare Infotech Solutions, a software company based in Satara, recently provided a Machine Monitoring System to a leading auto component manufacturing company. The manufacturing client, who uses FANUC CNC machines made by Tsugami, implemented the system to keep track of part count on an hourly, shift, day, week, and month basis.
The system has helped the manufacturing client to improve their overall efficiency by giving them an accurate picture of machine utilization, operator overview, and energy monitoring for the production of each piece. This data provides valuable insights into the production process, allowing the client to make data-driven decisions to optimize their operations.
Before implementing the system, the client was facing a number of challenges in monitoring and optimizing their production process. They were unable to accurately track machine utilization, which led to decreased efficiency and increased downtime. Additionally, they were unable to monitor the performance of individual operators, which made it difficult to identify and address any issues.
With the implementation of the Machine Monitoring System, the client was able to overcome these challenges and improve their production process. The system provided real-time data on machine utilization, which allowed the client to identify and address any issues that were causing decreased efficiency. Additionally, the system provided data on operator performance, which helped the client to identify and address any issues that were impacting the production process.
The system also provided data on energy consumption, which helped the client to identify areas where they could reduce costs. Overall, the implementation of the Machine Monitoring System has had a significant positive impact on the client’s production process and has helped them to improve their overall efficiency.
The client has been very satisfied with the solution provided by Wathare Infotech Solutions and they have been able to achieve their goals of monitoring and optimizing their production process. The data-driven decisions made possible by the system has enabled them to improve their overall efficiency, reduce downtime and increase production.
