Big data in manufacturing refers to the large and complex sets of data generated by production processes, supply chain operations, and other activities within the manufacturing industry. This data can include information from sensors, production systems, enterprise resource planning (ERP) systems, and other sources. The volume, velocity, and variety of this data makes it difficult to process and analyze using traditional methods.
Big data analytics in manufacturing leverages advanced technologies such as distributed computing, machine learning and data visualization to process, analyze, and make sense of this data. The goal is to extract valuable insights that can be used to improve operational efficiency, increase productivity, and make data-driven decisions. This can include identifying trends and patterns, predicting equipment failure, optimizing production processes, and improving supply chain performance, among other applications.