Grepton Webinar
Digitalisation in the factory of the future
Tuesday, 5 December 2023 10 a.m.
Microsoft TEAMS webinar recording
Digitalisation in the factory of the future
In the factory of the future, digitalisation will transform production processes and increase efficiency and competitiveness. In our factories, there are countless typical losses in production, with backlogs of rework, high inventory levels, underutilised machines and workers, unseen or uncontrolled machines, losses due to material movement, and waiting between production lines.
Advanced data collection solutions can provide real-time performance visualisation in manufacturing, logistics and even inventory management. All of these provide significant industrial benefits, reduce costs, increase the competitiveness of the company, provide new market entry opportunities and support in meeting supplier certifications, all of which will create an Industry 4.0 compliant factory.
At our manufacturing webinar on 5 December, we discussed how digitalisation is shaping the factory of the future. Click on the video to watch a recording of the webinar.
Production visualisation
By linking systems that execute and track the production process in real time, decision-makers can monitor the work in production departments at any time, receive alerts on deviations from the production plan and use them to improve and intervene in production.
- How does production visualisation support your production process?
- At what levels can production visualisation be applied and what flexibility does it provide?
- Data input/output and reports: how does it help decision-makers and how does it provide feedback?
Big Data solutions
Processing and analysing large amounts of data, drawing conclusions and feeding them back to production, quality assurance and controlling. Analyses can help to identify quality problems in products, prevent sudden failures and identify their causes. Big Data solutions collect large amounts of data from old and new machines involved in production, into a data warehouse, and then evaluate it with advanced analytical software.
- What is the role of Big Data in production, quality assurance and controlling?
- How do we collect the data and for what purposes do we use it?
- How can Big Data help quality assurance and is it necessary if you already have an ERP system?
Energy monitoring
Economic competition and a turbulent environment require us not only to optimise our production, but also to use our energy resources in an environmentally conscious, energy-efficient and appropriate way. The constant changes and increases in energy prices and unpredictability require us to improve our energy efficiency and maintain the expected level. Energy monitoring provides us with detailed time series data and curves of consumer premises and allows us to develop optimal consumption.
- Why is energy monitoring important for environmentally conscious and efficient energy use?
- What data do we measure and what conclusions can we draw?
- How does energy monitoring help to optimise costs and avoid penalties? Automated data collection issues
Our speakers:
