Although large manufacturers have been using statistical process control and statistical data analysis to optimize production for years, the extreme composition of today's data provides opportunities to deploy new approaches, infrastructure, and tools. Manufacturing industries are ready to embrace the use of big data, supported by higher compute performance, open standards, the availability of ind...ustry know-how, and the vast availability of highly skilled data statisticians fueled by academics. With access to new manufacturing intelligence, manufacturers will improve quality, increase manufacturing throughput, have better insights into root cause of manufacturing issues, and reduce machine failure and downtime. With these new business values and technology capabilities, manufacturers will be able to change business models and practices in order to optimize designs for manufacturability, thereby improving supply chain management and introducing the use of customized manufacturing services to shorten time to market for products customized for smart consumers across various geographies.
This paper outlines an Internet of Things (IoT) pilot in one of Intel's manufacturing facilities to show how data analytics applied to factory equipment and sensors can bring operational efficiencies and cost savings to manufacturing processes. With industry collaboration from Cloudera, Dell, Mitsubishi Electric, and Revolution Analytics, this IoT big data analytics project is forecasted to save millions of dollars annually along with additional return on investment business value.