Asset Optimization
Empower your customers to optimize asset performance
If you're under pressure to improve your customer's experience by increasing uptime and maximizing OEE, connect your products with Cumulocity and offer your customers full transparency into machine operations.
Proactively watch for production issues to maximize equipment use and prevent unplanned downtime. Empower your customers to view the inputs into OEE on their own so they can make smart, fast decisions to keep their production lines flowing.
We are helping our customers to improve their efficiency, to reduce their resource consumption and thus reach their sustainability goals.
Christoph Marschall
Product Manager, IoT Solutions
A1 Digital
Increasing pressure to maximize every minute
The cost of asset downtime is increasing
The average cost of an hour of downtime has more than doubled over the past five years to over $250,000, making an optimized maintenance routine even more critical.Loss from scrap is trending up
Scrap rates typically average between 3-10%, and recent trends show those numbers increasing, particularly for small or mid sized operations. Getting the most out of assets requires getting scrap rates down.Energy & carbon management
Integration of AI and IoT solutions allows operators to enhance asset reliability, optimize maintenance scheduling, reduce costs, and achieve sustainability goals. Investment in these areas is critical to stay competitive and compliant with regulations, especially in the EU, with a targeted 12% reduction in emissions by 2030.AI is changing the landscape of asset optimization
Innovations in AI and MLOps that ensure operators get maximum use and value from your equipment are changing the expectations put on equipment providers. Those that do not innovate are at risk of being left behind.
The numbers tell the story
55%
average OEE across industries, versus world class OEE of 85%.
Source: Decoding World Class OEE, Evocon
95%
of companies report positive ROI from investing in IoT asset management solutions.
$260,000
hourly cost of unplanned equipment downtime, making it the most costly of the Six Losses.
Source: Aberdeen Research
Maximize OEE with Cumulocity
$1.1 million
revenue created from improved production output at one customer site
22%
reduction in water consumption realized by using IoT utility solutions
16%
reduction in methane emissions using AIoT
“Plug and play” for your industrial assets
Cumulocity makes it easy to start collecting data from any asset. Connect any device and the platform will automatically accommodate its capabilities and map the data to a unified yet extensible domain model independent of the protocol it is using.
Integrating new devices into an IoT network can be hugely costly in terms of development, device configuration and firmware, and installation costs. But Cumulocity is a plug and play solution. This creates a lower cost of entry for our customers—and makes it easier for us to build effective IoT synergies with partners around the world.
—Stelios Trikoulis
Chief Commercial Officer
Kallipr
Process data efficiently at the Edge
Cumulocity makes it easy to start collecting data from any asset. Connect any device and the platform will automatically accommodate its capabilities and map the data to a unified yet extensible domain model independent of the protocol it is using.
Generate alerts to reduce response time
Seconds count to maximize equipment performance. With Streaming Analytics, you can get instant notifications (e.g., email or SMS) when your assets are performing outside of their expected bounds.
Turn data into action with Digital Twins
Cumulocity Digital Twin Manager can instantly calculate the KPIs that matter to you, minimizing setup time and maximizing value delivery. Faster data means faster decisions.
Make your data accessible for downstream analytics
In order to effectively analyze data from your connected assets to optimize performance, you first must be able to easily offload the data and make it available.
With Cumulocity DataHub you can effortlessly create offloading pipelines to store IoT data in your preferred historical or analytical data store and ensure seamless accessibility for downstream BI reporting and AI/ML model training.
