Enabling Predictive Maintenance
For asset-intensive industries, such as manufacturing or utilities, one of the biggest challenges is ensuring mission-critical plant and equipment continue to operate at maximum efficiency so that customer-service commitments are met.
The most effective way to do this? Moving from reactive to proactive maintenance.
Predictive maintenance creates new business opportunities for enhanced service contracts, usage-based payment, and delivery of reliability as a service—but to achieve any of these things, you need to be able to make the most of the data.
Read further to learn how some leading organizations are working with Oracle to:
Use simulation tools to experiment with petabytes of data
Ensure consistent and superior product quality in production environments
Reduce warranty and service costs, and minimize roadside breakdowns in commercial fleets
CERN Tests Big-Data and Cloud Technologies in Support of its Ground-Breaking Physics Research
Established in 1954, CERN (the European Organization for Nuclear Research) is the largest particle-physics laboratory in the world. Most famously, CERN is home to the Large Hadron Collider, the most powerful particle accelerator in existence.
CERN uses big data, cloud computing, and analytics to help researchers unravel the mysteries of the universe, one petabyte at a time. CERN has been a long-term user of Oracle solutions, such as Oracle Database, since version 2.3. Since 2003, CERN and Oracle have also partnered to drive innovation in ICT through CERN openlab.
The Large Hadron Collider is one of the most complex machines ever built. In addition to the petabytes of physics data it produces by smashing particles together at close to the speed of light, its control systems produce vast quantities of systems-monitoring information. Analyzing these data streams—and extracting key insights—is vital in making sure researchers at the laboratory are able to continue pushing back the frontiers of our knowledge about the universe.
CERN has begun work with Oracle Big Data Discovery, exploring ways the organization can efficiently and intelligently analyze the technical engineering information derived from around one million signals originating from its accelerator complex.
Using the reliability and simulation tools that are built into the Oracle Big Data Discovery platform, the CERN team is able to correlate fault conditions related to electricity consumption, power conversion, water usage, and cryogenics. This helps to improve efficiency.
Oracle Database Cloud is also being tested through CERN openlab, to see how it can be used as a disaster—recovery solution. The CERN team is building machine—learning models to predict potential failures. These models use R (open-source distribution) and run in Oracle Database.
Lochbridge Reduces Costs and
Improves Customer Experience
Lochbridge is a technology consulting and services provider specializing in the Internet of Things. It helps transform businesses by leveraging emerging technologies and its almost 20 years of Connected Car experience.
Lochbridge helps its clients map their connected journeys, build connected innovations, and turn connected data into insights upon which they can act to enhance customer experience, drive revenue and cost-efficiency, and improve product quality.
Lochbridge wanted to help its manufacturing customers reduce warranty costs, minimize breakdowns, and drive proactive service management. Lochbridge’s IoT technologists and subject matter experts knew the best way of doing this was by connecting smart products and converting connected data into insights to carry out predictive maintenance in a cost—effective way.
Lochbridge has implemented solutions on Oracle Cloud (diagnostics as a service, asset tracking as a service, and risk analytics as a service) to help connect and monitor smart products in real time, study their health, and predict service needs.
Not only do the solutions share information about what is happening now; they also inform customers what is likely to happen next, using prognostics (predicting future events based on data mined).
Ultimately, Lochbridge was able to reduce costs, maximize its offering, and improve customer experience.
GEMÜ Group Improves Processes with Real-Time Insights
Founded in Germany in 1964, GEMÜ Group is a global leader in the manufacture of valves and measurement and piping products for the process media industry.
GEMÜ Group employs over 900 employees in Germany, and more than 1,600 worldwide. It currently manufactures at sites in Germany, China, Brazil, France, Switzerland, and the USA.
GEMÜ Group deployed Oracle IoT Cloud Service to integrate real-time and historic data insights into applications and processes across the entire business.
As a global manufacturer of valves and products for the process industry, GEMÜ Group needed a way to ensure consistent and superior product quality and safety across all aspects of production.
Product servicing is of huge importance to its ongoing success, having a direct impact on the lifecycle performance of its goods and the safety of its teams.
To achieve its goal, GEMÜ Group deployed the Oracle IoT Cloud Service to apply real-time and historic data insights to the group’s processes and applications—all housed in a single, cloud-based encrypted solution.
As a result, GEMÜ Group can now deliver superior product quality and employee safety. With an integrated solution, staff can easily monitor and maintain production quality, exchange critical and core components when flagged, and use newly analyzed data to make ongoing improvements to processes.
Lifecycle performance is one of our key issues on site. We need to maintain the quality of production and components, and this means regularly exchanging critical and core components.
“With Oracle IoT Cloud Service, we can analyze these components, and link the data back to the service portal. It’s all paperless, allowing us to get better results, deploy alerts, and keep data encrypted and secure.
Werner Flögel, Manager
Electronics and Product Management,