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What issues does SAP Asset Intelligence Network on HANA solve?

SAP Asset Intelligence Network on HANA brings together companies, manufacturers and service providers to collaborate on the upkeep of process manufacturers' assets.

Process industries such as cement, fertilizer, chemicals, and engineering procurement and construction, or EPC,...

companies manage millions of assets to keep their plants operational. Their assets include machinery, equipment and the associated spare parts. Maintenance managers working in process industries or in EPC companies are always under enormous pressure to ensure their plant's equipment and machinery is working at an optimum level, which requires timely maintenance. But due to disparate systems, or missing or incomplete operators' manuals, drawings and other information, maintenance can be a difficult challenge. SAP Asset Intelligence Network, or AIN, is meant to solve some of these issues. AIN is a HANA Cloud product that brings together companies, OEMs and service providers on a secure cloud platform to collaborate on all aspects of maintenance management.

SAP Asset Intelligence Network is centered on four areas:

  • Content. In order to maintain uniformity, completeness and correctness of the customer's assets, SAP AIN provides unique identification to each customer's assets, as well as provisions to maintain associated details, such as warranties and maintenance schedules. This information availability then helps the service providers to align their manpower and spare parts that are required to perform maintenance.
  • Network. A collaborative platform brings together OEMs, asset operators and service providers to share feedback on an asset's performance and overall equipment efficiency, as well as best practices for maintenance procedures to prolong an asset's life. 
  • Applications. A platform lets the OEM maintain the asset's latest information on spare parts, including drawings and maintenance plans. SAP has come a long way in maintenance management by moving away from reactive maintenance to a predictive maintenance approach. A predictive maintenance approach requires constant streaming of an asset's working conditions to AIN through sensors and other data transfer technology. With available data on an asset's condition, the system can suggest when the next maintenance is due and can align resources, such as manpower required from service providers or spare parts' availability.
  • Integration. Being on HANA Cloud Platform, SAP Asset Intelligence Network facilitates an asset's maintenance data transfer directly from the asset to AIN and shares the data with AIN stakeholders.

The possibilities to leverage AIN for optimum assets maintenance are virtually endless -- an OEM will know when the life of a company's asset is ending and can plan its production accordingly.

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