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

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

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

SAP

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
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 Read More
About Customer	Kaeser Kompressoren SE, a 5,500-employees company providing compressed air systems and compressed air consulting services. Read More
Customer Name	Kaeser Kompressoren SE Read More
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 Read More Log in to view content
Contents

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

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

About Customer

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

Customer Name

Kaeser Kompressoren SE

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

Impact #1	[Data Management - Data Availability] New business models based on real-time data.
Impact #2	[Financial Growth - Gross Margin] Higher customer lifetime value and service efficiency.
Impact #3	[Efficiency Improvement - OEE] >1 million measurements per day to avoid unplanned downtime.

Impact #1

[Data Management - Data Availability]

New business models based on real-time data.

Impact #2

[Financial Growth - Gross Margin]

Higher customer lifetime value and service efficiency.

Impact #3

[Efficiency Improvement - OEE]

>1 million measurements per day to avoid unplanned downtime.

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Overview

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

Operational Impact