SUIKER UNIE
Optimizing Cutting Mill Performance Through Industrial Data Analysis and Predictive Maintenance
Suiker Unie, part of Royal Cosun, produces a wide range of sugar products across several refineries in the Netherlands and Germany. The company aimed to reduce losses and increase production output within its cutting mill processes.
The AVEVA solutions implemented enabled the collection, monitoring and analysis of data from critical industrial equipment, including rotational speed, torque and energy consumption of the cutting mills. By correlating industrial process data, operators can now better anticipate the optimal timing for blade replacement. This approach improves equipment uptime, optimizes maintenance operations and helps operators make more reliable decisions to sustainably improve industrial performance.
Objectives
- Reduce losses within the cutting mill process
- Increase production output
- Improve industrial equipment uptime
- Find the right balance between energy consumption, production performance and maintenance costs
- Reduce deterioration of critical industrial assets
- Leverage industrial data to optimize operations
- Improve maintenance decisions through real-time industrial data analysis
Solutions
The AVEVA solutions enabled Suiker Unie to:
- Collect and analyze industrial data from cutting mills to optimize process performance
- Monitor critical parameters such as rotational speed, torque and energy consumption
- Correlate industrial data to identify the optimal timing for blade replacement
- Help operators make more reliable decisions through better visibility into equipment and process performance
- Optimize maintenance operations through real-time industrial data analysis
Results
- Reduced losses within the cutting mill process
- Increased production output
- Improved equipment uptime
- Optimized maintenance operations
- Reduced energy consumption
- Reduced excipient usage
- Improved operator decision-making through industrial data analysis
Learn more about the project
How did Suiker Unie improve the performance of its cutting mills?
Suiker Unie implemented AVEVA solutions capable of monitoring and analyzing critical cutting mill parameters such as rotational speed, torque and energy consumption. Using industrial data analysis helped optimize equipment performance and reduce production losses.
What was the main objective of the project?
The primary objective was to increase production output while reducing losses in the cutting mill process. Suiker Unie also wanted to improve equipment uptime and find the right balance between production performance, energy consumption and maintenance costs.
How was industrial data used in the project?
Data collected from industrial equipment was analyzed to better understand cutting mill behavior and performance. This real-time industrial data approach helps maintenance teams and operators better anticipate interventions and improve process efficiency.
How did the AVEVA solutions improve maintenance operations?
The AVEVA solutions enabled Suiker Unie to better anticipate the most appropriate timing for blade replacement. This predictive maintenance approach helps reduce equipment wear, limit unplanned downtime and improve operational continuity.
What operational benefits were achieved through the project?
The project helped Suiker Unie reduce losses, increase production output and improve equipment availability. Industrial data analysis also contributed to lower energy consumption and reduced excipient usage while improving operational decision-making for plant teams.