In the era of Industry 4.0, software features like data acquisition, visualization, and alarms can be seen all the time, but what makes the Connected Machine and Tool Management System special are two things.
The application of expert knowledge and experience to find the best solution more quickly.
The combination of software systems and lean methods to help in the continuous improvement of production.
To help you better understand the system, today we have invited Bruce LIU (Mr. Liu Hui), a technical expert from Bosch, who will share the application of Industry 4.0 Connected Machine Tool and Tool Management System in Bosch Wuxi plant.
Connected machine and tool management system
Three major goals
By enhancing machine intelligence, thus enabling
✅ Reduce tooling costs
✅ Improve machine efficiency
✅ Reduce tool inventory
Implementation method
Step 1: Equipment interconnection and transparent visualization
Step 2: Adopt benchmarking methods to discover bottlenecks in production and make targeted improvements
Step 3: Big data analysis to build models
Step 4: Optimize the system to better meet business needs
Continuous improvement based on lean manufacturing
Platform: Production Performance Management Software (PPM)
Through a platform approach, the "Connected Machine Tool and Tool Management System" ensures the security and stability of the system, the standardization and standardization of the corresponding interfaces, and the scalability of the system in the future.
The system also supports standard communication protocols (PPMP) and builds functional modules on top of the platform for acquisition, monitoring and alarming, and analysis and processing.
Function Modules
Frame support module
Business Function Module
Centralized monitoring of machine status in real time
Benchmarking Performance Analysis
Multi-dimensional broken knife cause analysis
Machine tool interconnection and data acquisition
Customer Benefits
The system has been shown to help the Bosch Wuxi plant with data collection, tool tracking and the analysis and utilization of big data, ultimatelyContinuous improvement of production efficiency:
1. Applying expert knowledge and experience to find the best solution
2. Increased production transparency through visualization of data
3. Reduced troubleshooting time by using big data analytics analysis to alert and identify trends
4. Combined software systems and lean methods to help continuously improve CIP
Article adapted from Bosch Software Innovations