Platform
Solutions
Information Center
Company
Contact
background
Case Studies
Plastic Manufacturer Machine365.Ai for Energy Management
thumbnail

Challenge :High energy costs and inefficient injection molding machine management


A major driver of rising production costs and limited visibility into energy management
Due to the energy-intensive nature of plastic manufacturing, injection molding machines generated significant production cost burdens. Limited visibility into machine-level energy consumption made it difficult to optimize energy management and equipment operations effectively. In addition, the lack of clear data on energy waste factors created challenges in identifying and implementing improvement measures.


Implementation : Deployment of a real-time data-driven smart energy management system


Energy Efficiency Improvement Through Real-Time Monitoring and Process-Specific Analysis
Current sensors were installed on each injection molding machine and key equipment to transmit real-time power consumption data to a cloud platform, enabling visualization of energy usage across production lines. Process-level energy analysis identified energy-intensive operations, while integrated analysis of equipment utilization and energy consumption data helped improve inefficient operating practices. In addition, peak power management capabilities helped reduce the risk of unnecessary additional energy charges.


Results : Reduced operational costs and improved production stability


Maximize Energy Savings, Boost Equipment Efficiency, and Enable Predictive Maintenance
Through 3View FEMS, the company is expected to reduce energy costs and improve productivity through data-driven equipment management. Energy-efficient operations and predictive maintenance capabilities are expected to minimize production downtime caused by equipment failures, while contributing to lower maintenance costs and extended equipment lifespan over the long term. Ultimately, these improvements are expected to strengthen cost competitiveness and support a more stable production environment.

Back to List