FOOD AND BEVERAGE | SPAIN
Implementation of predictive maintenance strategy
+1300 rotating assets
PROJECT OBJECTIVE
Predictive Maintenance Strategy
Bunge International Limited is a global leader in the agri-food sector and a leading producer, handler, processor and trader of soybeans, canola, sunflower, corn, wheat and other crops.
Preditec has been collaborating with Bunge since 2012 in the implementation and operation of the predictive strategy within maintenance. The plan includes Bunge's assets in four of its plants in Spain, covering about 1300 rotating assets.
Date of execution:
2017
Location:
Spain
Sector:
Agrifood
Client:
How we made it happen
Predictive techniques, the key
OUR CONTRIBUTION
Some of our products and services applied to this project
Service
Technology consulting
We advise on the best technological solution to apply according to the needs of each project. Learn more about our technology consulting.
Service
Industrial automation
To achieve effectiveness and efficiency in the digitization process of the industry. Learn more about our industrial automation service.
RESULTS AND ACHIEVEMENTS
Definition of criticality criteria
Although this is a variable figure, we can say that within an inspection, 5-10% of the assets require exhaustive follow-up and 10-15% require less follow-up. The rest of the machines, which represent the highest percentage, have a good condition (Green Asset) and can wait until the next inspection.
The inspections are documented in the Preconcerto web platform, where the database is generated with the relevant asset information, the plant status is visualized, KPI's are tracked, bi-directional plant-analyst communication is allowed and customized reports are generated.
Apart from these inspections with portable equipment, there are assets that require continuous monitoring due to their criticality, the nature of the failures or their location in inaccessible areas. These are digitization projects where the machine is instrumented (with wired or wireless sensors) and the signals are taken to the monitoring hardware, managing the information remotely from the Asset Web Monitor (AWM) web platform.
5-10%
of the assets requires exhaustive monitoring
10-15%
of assets requires less monitoring
OUR EXPERIENCE
