With more sensors now existing on the planet than people, companies are looking for new ways to reduce latency and increase security in their IIoT data. The answer they’re finding? The “fog.”
Now Browsing: Manufacturing
It seems that IIoT is disrupting the industrial sector in the best way by guaranteeing these improvements, but the fact is that most companies are not correctly or effectively implementing IIoT. Because IIoT gathers huge amounts of quantitative, largely unstructured data through sensors, your current analytics system is likely to be overwhelmed. Luckily, you just need one key to unlock the treasures that IIoT data has to offer: artificial intelligence (AI).
Where do you start when you need to ensure that your manufacturing process runs as smoothly as possible without any surprises? Keep reading to learn how to calculate your process’ RPN (Risk Priority Number) and download our Process Failure Modes Effect Analysis template to start error-proofing your processes today.
If you work at a manufacturing or supplier plant, you already know that tracking operations with paper-based methods has many issues. And for lean operations, a host of issues is not ideal for any plant.
If it is doing its job, a manufacturing execution system (MES), fulfills the role of system of record by collecting “all” data associated with the manufacturing process. The traditional way to tap into this data avalanche is with reports. A useful system has many reports covering all the parts of the database.