IoT KNOWLEDGE
WHITE
PAPERS.
PREDICTIVE MAINTENANCE OF ROTATING EQUIPMENT.
From compressors to pumps to motors, plant profitability revolves around equipment productivity. That's why reliability is essential. To ensure reliability, rotating equipment users employ condition monitoring strategies to observe the health of machinery components and keep unexpected breakdowns to a minimum by making repairs or replacements before failure occurs. The next generation of condition monitoring goes beyond 'preventing' failures to 'predicting' failures.
THE WAY FORWARD
Download this white paper to learn how to:• Ensure operational efficiency and improve equipment reliability
• Minimize downtimes and act upon abnormal asset behavior in advance
• Open new revenue streams through added services
• Boost customer satisfaction and build long-lasting customer relationships
Enabling the Equipment-as-a-Service Model. Insurance and Financing Strategies.
Although Equipment-as-a-Service offers numerous benefits, business model transformation is still seen as a risky endeavor by industrial businesses. By managing risks rather than avoiding them, industrial companies can get ahead of the competition and build a resilient business model based on the power of recurring revenue.
De-risking business model innovation in manufacturing
Download this white paper to learn how to:• Ensure a competitive edge by managing risks rather than avoiding them
• Ensure a smooth transition to a pay-per-use model
• Offer better services and increase customer satisfaction
• Create a stable and resilient recurring revenue base
BUSINESS TRANSFORMATION JOURNEY IN MANUFACTURING.
Business transformation is not a destination - it is a journey. If done right, business transformation brings a lot of advantages such as revenue growth, market share growth, and higher value for customers. The metamorphosis of manufacturing involves leveraging data to generate new insights, benefiting from predictive maintenance, and harnessing the power of IIoT for effectiveness improvements.
LEADING THE CHANGE
Why is it so critical for enterprises to embark on a business transformation journey? The answer is rooted in the ongoing market changes caused by technology. In the manufacturing world, this means that the borders between the OEMs, the servicers, and the operators, are now overlapping. Therefore, adapting to these new challenges is now more critical than ever to stay relevant and gain competitive advantage.BUILD VS. BUY.
Implement IIoT solutions alone or bring an expert partner onboard? Before making a decision, there are many important questions to consider. Implementing IIoT solutions requires time and resources. Bringing a third-party IIoT partner on board is not just about increasing the chances of successful and cost-effective planning, implementation, and maintenance process. When you bring in a partner, you open yourself up for more innovation and new ideas.
DIGITAL TRANSFORMATION AS PARTNERSHIP
Only 26% of IoT projects are considered a complete success. Without understanding what you want to accomplish, you are setting yourself up for failure right from the start. It is vital to have a true partner that understands your business needs.EQUIPMENT- AS-A-SERVICE.
Equipment-as-a-Service largely describes the process in which production systems or machinery are not purchased, but provided by a supplier for a fee: The Equipment-as-a-Service provider is responsible for maintenance, service, repairs and replacements. Networked and smart systems help the provider to adapt maintenance scheduling to planned downtime to usage and utilize complex analysis to predict maintenance needs or faults.
The next level of Digital Transformation.
How IIoT and Industry 4.0 are reshaping the manufacturing landscape. A move to an Equipment-as-a-Service sales model can be the silver bullet to enable small, medium and large enterprises to prepare for the oncoming digital future.CONNECTED TRAINS Transforming Raw Data into Actionable Insights.
Every IIoT transformation begins at the edge of your machinery and systems. Before machine data gets to middleware platforms, that is before data is visualized in convenient dashboards, edge devices begin aggregating disparate data into ready-sifted chunks of information. To tackle the myriad problems that come with fitting an edge to railway and rails systems, GE Transportation has come up with its own EdgeLINC™ platform with leveraged relayr's device management and smart data collection specifically in rail systems.
