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.