Production downtime in auto manufacturing can be costly at a rate of up to $55,000 per minute. With such high costs, keeping production machinery running is critical to the bottom line. To address this, one company combined unstructured and structured data from multiple systems including devices containing detailed robot data, such as the temperature of components when the robot broke down and analyzed temperature and vibration sensor log files with maintenance history. By identifying patterns that led to robot failure, the company could modify their service cycles and save thousands per minute.
Variety Robot logs, custom files, maintenance ticketing system, factory information systems on DB2, SQL, Oracle, AIX Volume Machine-generated data is projected to increase worldwide 15x by 2020
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