Industry 4.0 is the new revolution in the timeline of manufacturing. Factories designed at the beginning of the industrial revolution relied heavily on human efforts which introduced a lot of errors. To minimize the impact, manufacturers incorporated new automated technologies. Although complete autonomous factories are yet to arrive, humans and robots have already started working together to overcome today’s challenges.

This is how a fully autonomous industry would look like:

DEMAND FORECASTING:

Imagine a manufacturing unit, where demand could be accurately predicted in real-time and accordingly production could be influenced. An error in the demand forecast could lead to over or underproduction of end products leading to increased inventory costs. Here is a video on demand forecasting which explains it in detail: [ Ссылка ]

SUPPLY FORECASTING:

A supply or a raw material stock quantity is considered ideal when it meets with the demand curve. But we don’t live in an ideal world and there can be some fluctuations or errors. All we can do is try to achieve maximum accuracy. An autonomous industry will be capable of real-time monitoring and will place the orders for raw material as per the needs. However, in the present time, we have created supply ML models that do it with high accuracy. Check it out here: [ Ссылка ]

PREVENTIVE MAINTENANCE:

According to the International Society of Automation, global downtime cost per year is $647 Billion. That sounds like a fortune drained down the house !! Sounds inevitable, right? But that's where industry 4.0 driven by artificial intelligence transform the manufacturing. Intelligence machines can raise alerts well in advance avoiding downtime. Here is how preventive maintenance ML model built on Google Cloud works: [ Ссылка ]


At Pluto7, we work with our customers to co-create the factories of the future. All this is just the tip of the iceberg. If your curiosity is running you wild, tame it by visiting our website: [ Ссылка ]

Or contact us at contact@pluto7.com

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