SAP > Case Studies > Providing a Next-Generation Air Service with SAP® Leonardo Internet of Things

Providing a Next-Generation Air Service with SAP® Leonardo Internet of Things

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Technology Category
  • Analytics & Modeling - Predictive Analytics
  • Functional Applications - Enterprise Asset Management Systems (EAM)
  • Functional Applications - Manufacturing Execution Systems (MES)
  • Functional Applications - Remote Monitoring & Control Systems
  • Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
  • Equipment & Machinery
Applicable Functions
  • Discrete Manufacturing
  • Maintenance
Use Cases
  • Manufacturing System Automation
  • Predictive Maintenance
The Challenge

To optimize its Sigma Smart Air

Service, Kaeser worked with SAP

Digital Business Services to deploy

SAP Leonardo IoT capabilities as its innovation foundation together with SAP Asset Intelligence Network and SAP Predictive Maintenance and Service. Kaeser’s new solution connects its compressors smartly in the cloud, allowing it to offer a next-generation service at a lower price.

Challenges:

- Service team unable to access calibration data and other equipment-specific information, which was stored in on-premise systems

- No solution to meet the needs of dealers and companies’ service providers

- Need for track-and-trace capabilities with selected suppliers to scale-up potential

The Customer
Kaeser Kompressoren SE
About The Customer
Kaeser Kompressoren SE, a 5,500-employees company providing compressed air systems and compressed air consulting services.
The Solution

- Strategic partnership and co-innovation with SAP

- SAP Asset Intelligence Network based on SAP S/4HANA® Cloud for use in the maintenance of equipment information and greater transparency over usage

- Standard integration between SAP S/4HANA, SAP Predictive Maintenance and Service, the SAP Manufacturing Execution application, and third-party solutions

- Ability to establish a “digital twin” to build entirely new data-driven business models

Operational Impact
  • [Data Management - Data Availability]

    New business models based on real-time data.

  • [Financial Growth - Gross Margin]

    Higher customer lifetime value and service efficiency.

  • [Efficiency Improvement - OEE]

    >1 million measurements per day to avoid unplanned downtime.

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