|A recent study on maturity of Asset Efficiency from Infosys and the Institute for Industrial Management (FIR) at Aachen University revealed that 85 percent of manufacturing companies globally are aware of asset efficiency, but only 15 percent have implemented it at a systematic level. Current challenges include lack of instrumentation of the assets, missing real-time data analytics, lack of context due to missing information from other systems, and lack of a holistic focus with other aspects of efficiency like energy, utilization, operations, and serviceability.
To collect asset information efficiently and accurately in real-time and run analytics to make the right decisions
|*This is an IIC testbed currently in progress.*
Bosch, GE, IBM, Intel, KUKA, National Instruments, PTC
High Tech, Industrial Manufacturing, Discrete and Process Manufacturing, Automotive, Aerospace, and other segments with high value fixed/moving assets
Study of an asset - Failure mode analysis prediction using engineering knowledge - Mapping and modelling of the asset accordingly - Development of a platform stack for real-time data collection from the asset and overall system and data analytics
Many industries have assets that are critical to their business processes. Availability and efficiency of these assets directly impact service and business. Using predictive analytics, the Asset Efficiency Testbed aims to collect real-time asset information efficiently and accurately and run analytics to make the right decisions in terms of operations, maintenance, overhaul and asset replacement. Infosys, a member of the Industrial Internet Consortium, is leading this project, with contribution from Consortium members Bosch, GE, IBM, Intel, KUKA, National Instruments and PTC.
Asset Efficiency is a vertical testbed, making it possible for the testbed to be applied to multiple solutions. The testbed will launch in two phases. In the first phase, the testbed will be created for a moving solution, in this case, aircraft landing gear. The focus of this phase will be on the creation of stack and the integration of technologies. In the second phase, the testbed will address fixed assets, like chillers, with the goals of finalizing the architecture and opening up the interfaces.
The Asset Efficiency Testbed monitors, controls and optimizes the assets holistically taking into consideration operational, energy, maintenance, service, and information efficiency and enhance their performance utilization. The Asset Efficiency Testbed offers numerous benefits including: Condition Monitoring that helps in determining an optimal maintenance schedule, the reduction in downtime thus improving overall productivity of assets, reduction in capital and operational expenditures, and efficient energy utilization.