Slitter machines can be used for anything from sheet metal to thin plastic film. Their operational efficiency can be affected by several factors. Running them at high speed risks frequent stops and large scrap volumes, while lower speed reduces output.
The operation of the machine is largely dependent on expert operators whose productivity is much higher than that of less experienced operators. Depending on what material is slit, various external variables (such as temperature, static electricity and humidity) can significantly affect production.
By capturing the behavior of the expert operators through machine and environment data, the solution learns how to operate and automate settings on a continuous basis as changes to key variables (such as indoor climate) alter production conditions.