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 [1]. Big data analytics refers to a method for gathering and understanding large data sets in terms of velocity, variety, and volume. Big data analytics allows an enterprise to use smart manufacturing to shift from reactionary practices to predictive ones, a change that targets improved efficiency of the process and performance of the product [2].