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In a recent analyst strategy session, SAP detailed how they are offering industrial customers Internet of Things solutions. Positioned as part of the Extended Supply Chain, SAP's connected manufacturing strategy brings SAP's cloud IoT platform and advanced analytics to manufacturing, supporting Industry 4.0 (IIoT) scenarios. This post features the highlights.
HANA Cloud Platform for IoT
With SAP HANA Cloud Platform for the IoT, SAP offers a comprehensive solution portfolio that enables intelligence at the edge and automated processes at the core. The foundation is the SAP HANA platform, which can process and stream large volumes of data in real time. The platform lets you connect to data from machines, devices, and sensors, and combine it with transactional business data, geospatial services, and unstructured information from social media. Analytics capabilities lets you improve decision making, asset performance, and business operations.
Connecting to Plant Assets and Systems
In the plant, SAP relies primarily on SAP MII and PCo (Plant Connectivity) to integrate to shop floor assets and systems. Users can run SAP MII centrally with PCo at the plants, or they can optionally implement MII in the plants on standard DB technologies to support high availability with store and forward and HANA centrally. SAP MII can also be run in-memory on HANA, allowing direct access to advanced analytics and the composition environment. Partner OSIsoft has built the PI Integrator for SAP HANA to feed plant operational data from their historian.
Predictive Analytics
By using predictive analytics in the HANA platform, companies can analyze plant data in context with live with business data. Applications include predictive maintenance, predictive cost, predictive quality, predictive material use, and predictive labor.
HANA Apps
SAP has built several HANA-ready applications that use MII and HANA for cross plant analytics. These include Manufacturing Performance Management, OEE, and Energy Management. These applications can leverage data lakes (Hadoop), to accommodate large data repositories, using HANA to stage data for active analytics. Users can also feed HANA applications in the cloud (HANA Cloud Platform) to study data patterns and trends in plant data. SAP Manufacturing Execution (SAP ME) will also be released on HANA, possibly this month. This can bring together all of the plant execution data and the business data, in-memory, along with analytics. As far as I know, this is the first MES on an in-memory platform. Let me know if there is another one!
HANA Cloud Platform for IoT
With SAP HANA Cloud Platform for the IoT, SAP offers a comprehensive solution portfolio that enables intelligence at the edge and automated processes at the core. The foundation is the SAP HANA platform, which can process and stream large volumes of data in real time. The platform lets you connect to data from machines, devices, and sensors, and combine it with transactional business data, geospatial services, and unstructured information from social media. Analytics capabilities lets you improve decision making, asset performance, and business operations.
Connecting to Plant Assets and Systems
In the plant, SAP relies primarily on SAP MII and PCo (Plant Connectivity) to integrate to shop floor assets and systems. Users can run SAP MII centrally with PCo at the plants, or they can optionally implement MII in the plants on standard DB technologies to support high availability with store and forward and HANA centrally. SAP MII can also be run in-memory on HANA, allowing direct access to advanced analytics and the composition environment. Partner OSIsoft has built the PI Integrator for SAP HANA to feed plant operational data from their historian.
Predictive Analytics
By using predictive analytics in the HANA platform, companies can analyze plant data in context with live with business data. Applications include predictive maintenance, predictive cost, predictive quality, predictive material use, and predictive labor.
HANA Apps
SAP has built several HANA-ready applications that use MII and HANA for cross plant analytics. These include Manufacturing Performance Management, OEE, and Energy Management. These applications can leverage data lakes (Hadoop), to accommodate large data repositories, using HANA to stage data for active analytics. Users can also feed HANA applications in the cloud (HANA Cloud Platform) to study data patterns and trends in plant data. SAP Manufacturing Execution (SAP ME) will also be released on HANA, possibly this month. This can bring together all of the plant execution data and the business data, in-memory, along with analytics. As far as I know, this is the first MES on an in-memory platform. Let me know if there is another one!