Industrial Machinery Digital Thread
Machine Analytics
Deliver better service, improve customer satisfaction and open up new revenue streams with service lifecycle analytics for industrial machines. Use machine analytics and software solutions to implement service lifecycle management, predictive and preventative maintenance plans, and servitization.
Service lifecycle management maximizes machine uptime
It's time to reinvent the way industrial machinery companies support their customers. Service lifecycle analytics solutions from Siemens leverage IIoT data and machine analytics to minimize downtime, improve machine performance and increase profitability.
Unlock growth potential with servitization
Today's industrial machinery companies are finding new revenue streams with service lifecycle analytics. IIoT solutions and asset management software make it possible for machine builders to lower costs, improve machine productivity and increase customer satisfaction.
Lower costs
Improve sustainability and streamline field service operations with simple and reliable industrial IoT connectivity solutions. (Newater Idea)
Less downtime
Enable predictive maintenance and maximize productivity with remote machine monitoring that collects and analyzes performance data. (Calvatis)
Machine connectivity
Increase process efficiency by connecting, controlling and monitoring every machine, regardless of age or type, with industrial IoT solutions. (Bror Tonsjö AB)
Enable machine analytics
Machine builders and OEMs can use data collected from their products while in use to analyze performance, optimize designs for reliability and improve customer satisfaction. Explore the three priorities for fully enabling machine analytics.
Transforming your aftermarket services begins in the design phase. Integrating sensors into original designs provides the data you need for effective predictive and preventative maintenance.
- Reduce delays and errors by planning uptimes and downtimes
- Create manuals and technical publications more quickly using design BOMs
- Detect errors sooner when machine learning is included in service design
Perform high-quality service with asset management software. Reduce operational and maintenance costs by up to 80 percent with cloud-based documentation, virtual reality tools and low-code development solutions.
- Increase technician productivity by ensuring service work instructions match product variants
- Improve production visibility and streamline maintenance procedures with AR, VR and MR tools
- Store and access technical documentation within customized low-code applications
Continually improve maintenance scheduling and procedures with access to real-time data. Influence next-generation machine design by leveraging asset performance analytics captured across machines.
- Increase profitability with machine monitoring and optimization
- Achieve ESG targets with service and design improvements
- Capture in-field data and discover new possibilities with AI and machine learning
Machine builders using our solutions can achieve:
Increased production
Automate data collection, analytics and reporting to optimize asset performance and become more competitive. (Heimon Kala)
Operational savings
Higher CNC machine productivity, shorter changeover times and a decrease in unplanned downtime adds up quickly. (Siemens Low Voltage Motor factory)
Less time spent on maintenance
Create manuals quickly and accurately with automation solutions that obtain information directly from CAD models and BOM data. (Siemens Mobility)
Yangzhou Kukai
Yangzhou Kukai leverages IoT data to optimize machine building operations and production lines.
Reducing machine downtime and developing new revenue streams with Insights Hub
Company:Yangzhou Kukai
Industry:Industrial machinery
Location:Yangzhou, Jiangsu Province, China
Siemens Software:Insights Hub (formerly known as MindSphere)
The insights from IoT data allow us to quickly realize new asset development and iteration and stay competitive in our industry.
Explore our resource library
Leverage IoT devices, data in the cloud and the right software solutions to deliver better service. Machine builders can create new revenue streams with predictive and preventative maintenance, spare parts services and upgrades.
Analyze performance using servitization solutions
Service engineering
Technical publishing
Industrial IoT
Service execution
Application development
Product lifecycle management
Frequently asked questions
Machine analytics is the process of collecting, analyzing and interpreting data generated by industrial machines. Machine builders and manufacturers can use this data to gain insights and drive decision-making for predictive and preventative maintenance, optimizing operations, improving service and more.
Manufacturing servitization is when a company sells their manufactured product as a service. A servitization business model can expand the revenue opportunity for machine builders while offering improved uptime and lower maintenance costs for their customers.
Enterprise asset management (EAM) software are digital tools that provide greater visibility and control over an asset's entire lifecycle. Service lifecycle analytics offers EAM capabilities, helping extend machine lifecycles and improve profitability.
An Enterprise BOM approach provides a consolidated information resource containing all the information and relationships to support the requirements of multiple roles, such as engineering, manufacturing and service.
The key imperatives of service lifecycle analytics are plan for service (incorporating service into design models); service delivery (executing accurate service in-field with digital tools); and closed-loop service (using data to improve service).
Learn more
Watch
Video | Siemens and Salesforce team up to deliver servitization
On-demand webinar | Realistic vs. visionary IoT
Video | IBM and Siemens partner to deliver service lifecycle management
Listen
Podcast | The importance of service lifecycle management
Podcast | Delivering high-quality aftermarket services
Read
White Paper | Boost profits with servitization in industrial machinery
Ebook | 4 prevailing industrial IoT use cases
Ebook | Leverage digitalization to overcome manufacturing disruptions