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Battery machinery as a service will create smarter factories

In today's complex industrial machinery landscape, businesses are being challenged to stay competitive while capitalizing on the expanding markets that are driving demand for specialized machinery. In the battery industry, machine supply cannot keep up with demand as regions focus on localized production.

Companies interested in taking this chance to supply a cutting-edge industry and maximize profits must invest in the right toolset to unlock machinery as a service. Download our e-book to see how you can use a cloud-based advanced machine engineering solution to seize the opportunity to help solve the battery machine shortage.

Improve machine performance with battery predictive analytics

Advanced machine engineering tools are transforming the battery industry, opening new opportunities for machine services via battery predictive analytics. By integrating sensors, edge-sharing devices, and analytic tools into battery machines, manufacturers gain access to valuable data for enhancing performance, optimizing energy usage, extending machine lifespan, and unlocking machinery-as-a-service models.

Advanced machine engineering tools can help you achieve these integrations for your battery production machines. You’ll be able to gather real-time analytics on machine operations, bridging the gap between information technology and operational technology. Armed with these insights, machine builders can fine-tune their machines to reduce flaws, address errors, and optimize performance.

Battery simulation software helps orchestrate better future designs for battery machine

Battery machine builders can now offer comprehensive maintenance, repair, and lifecycle packages to their clients by leveraging IT-OT integration and data capture capabilities. Service technicians can unlock a path to accurately fix battery machines quickly, leading to improved customer satisfaction and driving long-term revenue growth.

The machine data captured from sensors and edge sharing devices can be utilized to optimize future machine designs. By creating an executable digital twin using battery simulation software, designers can conduct virtual testing and simulations to identify areas for improvement and mitigate faults. This iterative feedback loop between designers and simulation engineers ensures the development of superior battery machines that meet market demands.

Harness IIoT to build the battery machine revenue model of the future

By embracing advanced machine engineering tools and IIoT, machine builders can set themselves apart from the competition and fuel their business growth in a growing market.

Offering comprehensive lifetime maintenance and remote service packages that prolong battery machine lifecycles is the emerging path to increasing long-term revenue. Through the adoption of innovative technologies, machine builders can seamlessly integrate data and action, bridge the gap between information technology and operational technology, connect people and applications, and proactively engineer the future of battery machines in the present.

Download the ebook to discover how you can be an early adopter and stand out from the competition.