Condition Monitoring for Food & Beverage Companies
The brands you trust most invest in Artificial Intelligence for efficient and reliable maintenance.
Average ROI
1600%
Average Payback
10 days
Availability Increase
170 hours
Monitored Assets per Factory
3200
Results Proven by Real Data from Our Clients
Predictive Asset Monitoring
170 hours
of machine downtime avoided by Predictive Monitoring
$ 1 million
saved in multinational food companies
3,000+ failures
identified in the sector
$ 110,000
in average savings per failure
X-Ray: Maintenance in the Food Industry
Main Critical Assets Monitored by TRACTIAN
Most Common Failures
TRACTIAN online condition monitoring sensors are compatible with 100+ asset categories and monitor many critical machines in the food & beverage industry.
Each identified failure avoids equipment breakdown and unplanned downtime. Maintenance teams also get AI-powered reports and diagnostics to understand how to act and prevent similar problems in the future. Depending on the failure, savings can exceed $ 600 thousand.
Processes with High Contamination Risk Require Cutting-edge Technology
The food industry is one of the sectors that invest the most in technology, but how does maintenance work in these companies?
42%
have online condition monitoring strategies for critical equipment
67%
use phones and tablets on maintenance routes for mobile-first data
84%
use SAP or other ERPs, which are strengthened when integrated with TracOS™
Food Industry: A Pillar of US Economy
The food industry accounts for 5,4% of US GDP and generates 10,5% of US employment*, it deserves maintenance management to match its relevance.
*Data from 2021, taken from the Economic Research Service of the U.S. Department of Agriculture.
In order for the food to get to your table safely, companies must meet various health standards required by regulatory agencies. Every step of the production processes is specifically designed to encompass topics such as:
Food Perishability
Food Safety
Product Quality
And well-performed maintenance is essential in order to achieve these quality standards. With TRACTIAN Artificial Intelligence, food & beverage industries can attain:
More Predictability in Maintenance
More Control Over Production
Increased Operational Safety
Processes That Ensure Quality and Safety of What You Consume
Main Failures in Mixers
Mixing
Combines materials and components in different states, creating a homogeneous product.
Main Failures in Mixers
Shaft or blade breakage
These components can be exposed to intense mechanical loads during the mixing process. When subjected to excessive force, they can break, disrupting the operation.
Component wear
Blades, shafts, bearings, and gears can wear out due to friction and continuous use.
Main Failures in Mills
Grinding and Milling
Reduces the size of solid raw materials such as grains and cereals to obtain final products such as flours and powders.
Main Failures in Mills
Mechanical problems
Excessive wear of hammers or rollers, clogging of the feeding system, breakage of sieves or grids.
Inadequate lubrication
May cause excessive friction between parts, which can lead to failure and breakage.
Main Failures in Furnaces
Cooking
Applies controlled heat to products to promote proper cooking, developing texture, flavor and aroma.
Main Failures in Furnaces
Accumulation of debris
The build-up of grease and food debris can happen inside the furnace and reduce efficiency, besides posing a fire hazard.
Heat leakage
Can lead to loss of energy efficiency.
Damage to motors and fans
These are used for air circulation. If they get damaged, heat distribution will be compromised.
Main Failures in Filling Machines
Bottling or Packaging
Packs the products in an appropriate way to preserve their quality and integrity.
Main Failures in Filling Machines
Blocking or locking
It can happen due to foreign objects entering the feeding system.
Leaks
Pipes, fittings or seals may leak.
Component wear or failure
Gears, belts, bearings or motors can wear out over time.
Technology That Generates Reliability and Results
Monitoring that adapts to your process.
TRACTIAN monitoring creates a massive database to understand the vibrational behavior of equipment. The AI identifies different operating modes, and automatically determines the vibration limits for each one. Process-tailored, prescriptive insights are the best way to have assertive alerts and identify real failures.
Drive motor of a Hammer Mill
Operating Modes
Rice Processing
Beans Processing
When monitoring the sugar mill, TRACTIAN sensors issued an automatic bearing looseness alert, with an exact, AI-generated prescription on what to do to avoid a failure.That enabled the team to avoid a week of unplanned downtime. After the technicians performed maintenance using shop floor expertise combined with the prescriptions generated by AI, vibration levels returned to normal.
Give Your Team Autonomy with a Maintenance-dedicated Platform
Reliable Maintenance Enables the Highest Quality Products.
Get a demo.
