Western Digital Malaysia Uses Big Data Analytics to Predict Manufacturing Defects
As one of the largest hard disk drive suppliers in the world, Western Digital must ensure volume and efficiency in the manufacturing and distribution of its hard disk drives in order to maintain its competitive edge. The organization made use of predictive analytics to minimize the distribution of defective hard drives. edit.
The rise of the digital factory
Smart manufacturing employing big data analytics and IoT has helped Intel to address its current and future manufacturing needs while producing a clear return on its investment. The monitoring, analytics and modelling solutions allowed Intel to improve equipment component uptime, minimise yield losses, facilitate predictive maintenance and reduce component failures.
Big Data at GE
“It wasn’t just Jeff,”—as in Immelt, GE’s CEO—“who saw the potential of this,” said Bill Ruh, Vice President and Corporate Officer for GE’s Global Software Center. “There were a number of senior executives who saw the benefits from the marriage of machines and analytics. For instance, the trend of customers wanting to optimize inspection, maintenance and repair processes of our machines. Or even the potential for our machines to communicate with one another or with operators to enable intelligent decisioning. These type of instrumentation opportunities are present in locomotives, power plants and industrial facilities, so needs were mushrooming all around the company.”
Aerospace Manufacturer Uses Big Data In Modernization of Analytics Solutions
The leading aerospace and defense manufacturer chose Striim to support its modernization of analytics solutions. The company moved to a Hadoop-based big data environment to provide richer and more timely analytics to its employees and partners. Striim integrates its HP NonStop OLTP systems with the Hadoop ecosystems by delivering transactional data to HDFS, Kafka, and HBase in real time. With the ability to contain up-to-date airplane parts and schema data in the Hadoop environment, the company moved operational reporting processes from HP NonStop to Hadoop.
Offloaded its operational reporting from transactional systems to Hadoop, reducing overhead on the OLTP systems.
Supports critical operational decision-making for production and supply chain management using real-time airplane parts and schema data.
Hadoop environment serves a large eco-system including suppliers and partners, with timely, operational data.