Energy Transition and Digital Transformation by giving tools and handles to make a change to every participant of the energy market (so most of the society) are also shifting responsibility for
saving our planet to all of us. We need to be aware and start making a change in how we produce, consume, and think about energy.
How The Future Digital Energy Systems can help with cutting climate change? Read More »
Before a company starts with any transformation project, it is essential to understand the baseline and, in this particular case, the baseline for digital transformation within manufacturing or “Smart Manufacturing”. A look at the Smart Industry Readiness Index (SIRI).
How to develop your digital transformation roadmap? Read More »
Did you ever feel pocced? Even without knowing what it means it already gives a sinister feeling. Doesn’t sound very positive. Well, it isn’t. “Poccing” is giving-in to the inclination to do a Proof of Concept for a digitalization initiative at your facility, without having addressed the key success factors. At a number of industrial players, we have seen some serious cases of poccing, but you may see yourself suffering of one of the milder symptoms.
SIRI – First-footings in Digital Transformation Read More »
Many different questions pose major challenges for companies entering the digital transformation. Maturity models can provide great support in answering them. But even later on, an examination of the status quo is essential in order to be able to adapt existing strategies to changing circumstances in an agile manner. We talked to Dr Violett Zeller, Chair of the VDI/VDE Digital Transformation Department, about what maturity models are all about and how companies can find the right model for them. Join us on our blog for this and other topics on digital transformation in the process industry.
Maturity models in digital transformation – an interview with Dr. Violett Zeller Read More »
It is not easy to find your way in the sea of technological solutions related to predictive maintenance. As Product Marketing Manager, it is my job to understand and test the real potential of the tools I am dealing with, in this case Yokogawa’s wireless sensors, called “Sushi Sensors”, which monitor parameters such as vibration, pressure and temperature. Read the blog article with the title “A simple experiment on Predictive Maintenance and IA2IA” here.
A simple experiment on Predictive Maintenance and IA2IA Read More »
The ideal solution is achieved through the tactical combination of Smart Manufacturing and Smart Maintenance. Smart, innovative technologies such as smart sensors, edge computing, big data and artificial intelligence (AI) ensure that all assets in production operate at 100% efficiency. For example, assets are now equipped with industrial smart sensors such as the Sushi Sensor for data acquisition. These IIoT sensors transmit the data to computer-aided maintenance management systems. These systems use advanced analysis options such as AI or cloud-based machine learning to determine the complete data pool in order to ultimately deliver results in real time that can be called up at any time from a smart device. In this way, anomalies can be quickly detected and immediately communicated to the appropriate employees. The tasks of Smart Maintenance include. monitoring and knowing the condition of the assets. In addition, there is the dedicated planning of maintenance and the improvement of the performance and effectiveness of the resources.
Industry 4.0 describes a fundamental innovation and transformation process of industrial value creation. The leitmotifs of this change are new forms of management and work in global, digital ecosystems. Industry 4.0 is currently the number one topic of discussion in business and the media. But it is not only the digital revolution in the industrial sector that continues to progress. All other sectors, such as healthcare, are also continuing to develop consistently and drastically. Consequently, the term “Healthcare 4.0” is currently being used by many. We see in the media the emergence of some innovative trends that benefit the healthcare sector and, of course, us as users.
Ecosystems – new business models: important for disruption strategies Read More »
Predictive Maintenance is one of the most frequently mentioned topics of digitization in the industrial environment. On the one hand, it is felt to be one of the saviours that brings enormous cost savings, on the other hand, the industry 4.0 index shows that predictive maintenance falls far short of expectations. Here, promises and reality seem to diverge widely. What is the reason for this?
Predictive maintenance – between hype and reality Read More »
According to a Deloitte study, only about a quarter of the 100 companies surveyed in Germany have implemented a company-wide AI strategy. In an international comparison, this is a rather low figure – here the share is already 35 percent – although the use of artificial intelligence cannot be equated with digital transformation. However, it is of great and important importance, so that the conclusions of the study are also representative for the digital transformation.
Digital Transformation – more than just a technological change Read More »
