The solution combines superior technologies of machine learning to reveal automatically the best functional regime for complicated, multistage, manufacturing processes.
At the time the project started, there was a huge data variance. Even with siloing the provided information, it was very challenging to utilize any AI machine learning applications.
A sophisticated data gathering pattern from different levels and in different formatting has been developed. The machine learning system combined excel sheets, CSVs, access, and more.
The outcome was a single view data that combined data of more than 170,000 records, 120,000 peculiarities, and over a year of data production time. This would be impossible to happen by a group of human experts.
This provided an automated report to the end-user to utilize and make in-time business decisions. Decisions that reduced the cost of raw materials, minimized waste and the negative impact on the environment and increased productivity.
At first, the company performed its manufacturing processes with zero external scrap rates. They did not send any faulty part which means zero cost of returning. This also increased the customers’ satisfaction.
More automated procedures lead to increased availability for human labor. These resources allocated to other tasks that require increased manual involvement to be completed.
After applying AI empowered technologies, the company reduced its costs and saved significantly every month. This increased their profitability and made the company more competitive and viable in the long-run.