Prescriptive Monitoring for Sugar & Alcohol Industries
The world's largest sugar and ethanol producers are already transforming their maintenance sectors with our patented technology.
Prescriptive Monitoring for Sugar & Alcohol Industries
The world's largest sugar and ethanol producers are already transforming their maintenance sectors with our patented technology.
Average ROI
1300%
Average Payback
25 days
Average Downtime Avoided
80 hours
Monitored Assets per Factory
1156
Asset Monitoring During Harvest Season,
Maintenance Management in the Off-season
TRACTIAN sensors have been essential to us, since we have an extremely extensive database. Having Artificial Intelligence on our side has been game-changing, we now have total control over our critical assets.
Itiel Cerkunvis
Maintenance and Automation Director
Inpasa
Maintenance in the Sugar & Alcohol Sector
Main Critical Assets Monitored by TRACTIAN
Most Common Failures
Current Maintenance Rates in the Sugar & Alcohol Sector
42%
Reactive Maintenance
40%
Preventive Maintenance
18%
Predictive Maintenance
Reactive and Preventive maintenance in the sugar & alcohol sector account for the majority of maintenance costs.
During the harvest period, most maintenance is reactive or corrective, while the off-season is the time to focus on preventive maintenance.
HARVEST
+ SUGAR & ALCOHOL PRODUCTION
- PREVENTIVE MAINTENANCE
+ CORRECTIVE REPAIRS
OFF-SEASON
PAUSE IN PRODUCTION
+ PREVENTIVE MAINTENANCE TO AVOID PROBLEMS DURING HARVEST SEASON
With TRACTIAN, the Results of Sugar & Alcohol Industries Can Be Even Larger
A lubrication fault was detected in the motor pump bearing of the decanter tank by online condition monitoring powered by Artificial Intelligence (AI).
Simultaneously, a Maintenance Order was issued to replace the bearing. This avoided many hours of downtime in one of the operation's most critical assets.
Get Higher Machine Availability with TRACTIAN
In the evaporator's syrup production pump, a cavitation failure due to the change of product density was prescribed by AI. With early detection and intervention, the team saved over $ 18,000.
Online Monitoring of Low-rotation Assets with Artificial Intelligence
Have control of the entire production line and critical assets, especially those running at low rotation.
Early Detection and Average Savings of $ 22,000 per Avoided Failure.
Keep Machine Availability Rates High During Harvest Season.
Schedule a demo.
