Use Case: Improved measurement of parameters
Use Case: Data-based efficiency enhancement in production
Getting off to a successful start with the digital maturity assessment
Reducing costs with Predictive Quality
Data-Based Maintenance: Asset Monitoring
How to digitize plant documentation using artificial intelligence through PIDGraph
Blockchain solution for the process industry: Bilfinger Digital Next increases data security and reliability in the process optimization together with UBIRCH
Bilfinger Digital Next among the best Innovation Labs in Germany
Almatis Case Study on Plant Intelligence
How to proactively optimize quality
Taking Digital Transformation to the next level in just three month
Data Science in Industry 4.0 - Chances and Limitations
Edge Computing in IIoT projects: Bridging cloud and on-premises solutions
BCAP-Relaunch: New Design and Better User Experience
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Download our latest whitepaper to learn more about the digital transformation in the process industry and boost your expertise on this highly relevant topic.
Predictive Quality - data-based quality optimization increases the performance of the process industry. In order to improve the understanding of the quality-relevant relationships between products and processes, data from various sources are brought together. The newly gained knowledge enables data-based decisions that improve quality and efficiency in the long term.
Roughly 80 percent of digitalization projects fail, often for very similar reasons: the seven dangers of failure. These dangers are countered by four rules that contribute to the success of a project. Bilfinger Digital Next and 3con Management Consultants have defined risks and guiding principles in a joint concept that, in just three months, will lead to measurable improvements.
Many companies in the process industry are still a long way from Industry 4.0. This whitepaper shows how a Digital Maturity Assessment (DMA) can determine the current status of digitization and ensures a sustainable competitiveness of a company.
Digitizing P&IDs is the basis to unlock valuable information in legacy brownfield documentation. This whitepaper explains how Deep Graph Analysis can further leverage this information.