These companies are using AI for a number of scenarios including predictive maintenance, predictive process design, supply chain optimization and more.
Predictive Manufacturing Design
Suply Chain and Transportation Optimization
The Production Line Is No Longer The Bottle-neck
Machinery used on the production line enables factories to collect an increasing amount of real-time data about the manufacturing process. The focus is turning towards how this data can be harnessed to improve the quality of output.
There Is a Lot of Data, But Little Actionable Information
For data to be actionable it needs to be connected and digitalised. This will help to weed out the noise in the data so it could be analysed and the most important KPIs could be visualised.
Digitalisation is Key for Leveraging Data in Decision-Making
Automation of specific manufacturing processes has brought along a leap in production efficiency worldwide under the term Industry 3.0. The focus of Industry 4.0 is to automate decision making by using precise data from the entire production process.
Harness All Data In Your Enterprise
Every step of the production process and every decision taken by the management can and should be measured. Quite often this data is in analogue form, on paper or in the heads of management, or is only kept within the bounds of a specific manufacturing process. By digitalising the analogue and measuring information from every process step of manufacturing, an overall picture of the enterprise appears. The actual situation awareness is the key that enables fully digitalised enterprises to achieve superior efficiency to their peers.
Eliminate Human Error
Accurate Enterprise Data Analysis
Empower Decision Makers
Improve Accessibility & efficiency
Reduce Operational Costs
Safety of Data Storage
Real-Time Cities and Production Line Improvements
The aim of real-time adjustments is to keep the production output quality constant.