Schaeffler is working closely with IBM to develop innovative solutions for Schaeffler's own transformation and for customers using design thinking and agile development methodologies. An open, digital ecosystem is being built to form an environment in which Schaeffler can work smoothly with its customers and partners, with the digital platform as the technical foundation.

"We are constantly working to offer significant added value for our customers. Our aim is to connect data from across products and processes. Using analytics we turn this primary data into valuable insight which is used to increase the efficiency of our operations and develop innovative services for our customers. We are very pleased to have found the ideal partner with IBM," said Prof. Peter Gutzmer, Deputy CEO and Chief Technology Officer of Schaeffler AG.

Schaeffler's digital agenda

Gerhard Baum, Chief Digital Officer of Schaeffler, commented on the company's approach for digital transformation: "We are concentrating on expanding the integration of sensors into our existing products as well as developing new products with integrated cognitive software. Not only will the machines and transport infrastructure within the production environment at Schaeffler be connected, but individual plants will also be digitally linked to the whole supply chain. At Schaeffler, we want to digitally optimize processes and procedures as well as create new service-oriented processes, and thus drive the digital interaction between people and IT systems."

"The joint implementation of Schaeffler's digital agenda is the perfect fit to leverage and promote our new cognitive IoT capabilities for the manufacturing sector," said Ivo Koerner, Board Member Sales, IBM Germany. The base will be a global, hybrid cloud infrastructure using IBM's application platform "Bluemix" with Watson IoT to create differentiating applications and mobile apps for the Internet of Things.

Consistently connecting and integrating big data

Schaeffler's components such as bearings or clutch release systems are used in important parts of machines and vehicles which produce critical information about condition and movement. Schaeffler has put significant investment into research and development in recent years and has incorporated sensors, actuators and control units with embedded software into these products. With this, it is now possible for these parts to collect and process valuable data on the condition of a machine and then convert this data into added-value services.

During the first phase, the partnership will focus on:

- Optimizing maintenance in the wind energy sector:
Schaeffler is an important player in the renewables industry producing the huge bearings that help turbines to spin freely. Replacing these bearings is complicated and expensive as it results in downtime and lost energy. Through the new agreement, IBM and Schaeffler will explore how machine learning can reveal additional insight about the performance of equipment in different operating conditions. Sensors in the equipment and even in the bearings themselves will report on the actual condition of components in realtime. Using wind forecasts from the Weather Company (an IBM company), turbine operators will be able to plan ahead and replace parts during less windy periods.

- Digitized monitoring and optimization of trains: 
With many decades of experience in the railway sector, Schaeffler works closely with rail manufacturers and operators providing bearings and other parts for any application in passenger trains and freight vehicles. Using cognitive insights from the cloud, Schaeffler will enhance its predictive maintenance systems for railways, helping to increase efficiency and safety. Smart bearings will be able to measure their own vibration, temperature, torque and speed triggering alerts and informing railway operators about possible safety issues.

- Connected vehicles:
Schaeffler is leading the way in the development and manufacturing of products for engine, transmission and chassis applications. New technologies will allow Schaeffler to extend the functionality and lifespan of components for the automotive industry. Real time analytics and cognitive systems will turn data from components and systems into valuable insight which can be used by manufacturers to increase the reliability of cars and offer new value-added services to customers.

- Industry 4.0 for Tooling Machines:
IBM's cognitive technologies will support Schaeffler's Industry 4.0 strategy for tooling machines helping to improve overall equipment efficiency (OEE). This includes the optimization of production processes, real time analysis of data and context-driven maintenance, networking and optimization of multiple machines within a production line. The objective is to continuously optimize production and supply chain. Focus is on internal optimization to increase efficiency and to leverage this for the creation of new service offerings for customers and partners.

- Connected Equipment Operations Center:
Experts are monitoring the condition of thousands of machines and pieces of equipment on and off site. Big Data is transmitted to the Operation Center and processed in the Schaeffler Cloud. Algorithms and cognitive approaches will analyze data helping to make predictions about machine performance and create opportunities for optimization. Irregularities and potential faults are automatically identified and corresponding actions rapidly initiated.