a high risk of food contamination. And if equipment breaks while
in production, this could mean broken pieces getting in the food,
There have been numerous cases of food recalls due to
manufacturing malfunctions. These, and all other recalls around
the world, sicken consumers and damage the reputation of the
company responsible, showcasing the need for secure equipment
in the food manufacturing line.
Food manufacturers also do not want to lose revenue. If
production is halted because of a contaminant, the company
can suffer financially. Dumping large quantities of ingredients or
portions of food that have been contaminated, or might have been
contaminated, means monetary losses for the company.
The environmental impact can be considerable, as well. If food
production goes as planned, there is less energy consumption
as machines do not need to double the work. If the production
is halted, the machines must essentially redo the work, which
increases energy use. If production is halted and the food is
contaminated, then the product needs to be disposed of, resulting
in significant food waste.
The risk for halted production in food manufacturing can be
devastating, which is why predictive maintenance processes are
being implemented in plants around the world.
Predictive Maintenance In
Reducing health risks and overall production costs are reasons
enough why predictive maintenance is entering the food industry.
Io T sensors are revolutionizing the way machines are maintained,
giving employees real-time insight into problems.
For example, if an oven begins to malfunction, sensors can
alert employees in time for them to adjust the machine as not
to ruin the batch of food. This goes for any machine in the plant;
staff can adjust or tweak poor performing machines in real-time,
reducing the need to shut down production completely.
Also, when a product is potentially sickening consumers,
manufacturers that use predictive maintenance will have
documented performance reports for their equipment. This means
that they can trace back the food production line to help figure
out the source of the contaminants. Doing this helps companies
know whether or not to recall products.
Predictive maintenance also ensures equipment reliability,
which is a core necessity of food manufacturing. This technology
improves food product safety and lowers the risk of a public
health problem. Machine failure in this industry means heavy
losses for owners, potential health issues for consumers and
reduced trust in the brand.
Reducing the risk of equipment failure in this industry is
crucial, which is why it’s no surprise that manufacturers will
spend $74.8 billion per year on smart factory technology by 2020,
according to Markets and Markets. And McKinsey estimates that
the total economic impact of smart factories could reach $3.7
trillion per year by 2025.
Smart factories are now entering the world of food production,
revolutionizing production lines and increasing safety.
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