ABSTRACT
This chapter presents big data types, collection, characteristics, and potential benefits in manufacturing. The emerging paradigm of smart manufacturing creates and uses data and information throughout the product life cycle with the goal of rapid manufacturing of new products, dynamic response to product demand, and real-time optimization of manufacturing production and supply chain networks. Smart manufacturing has the potential to fundamentally change how products are designed, manufactured, supplied, used, remanufactured, and eventually retired. Smart manufacturing utilizes big data analytics, to refine complicated processes and manage supply chains. Big data analytics refers to a method for gathering and understanding large data sets in terms of velocity, variety, and volume. Data mining in manufacturing involves five common classes of tasks: Concept description, Classification, Clustering, Prediction and Association. The application of big data can overcome one of the biggest challenges for manufacturing process optimization, that is, the identification of the relationship between process conditions and product quality.
