// ROBOTICS AND SMART FACTORIES TERM
Big Data Manufacturing
The collection, analysis, and utilization of large volumes of diverse data generated throughout the manufacturing process to gain insights and improve operations. This data comes from sensors, machines, and enterprise systems.
TECHNICAL DEFINITION
Big Data Manufacturing involves the systematic collection, storage, processing, and advanced analytics of massive, high-velocity, and diverse datasets (e.g., sensor data, production logs, quality metrics) from manufacturing operations to derive actionable insights, optimize processes, and enable predictive capabilities.
BACKGROUND
Smart manufacturing is a broad category of manufacturing that employs computer-integrated manufacturing, high levels of adaptability and rapid design changes, digital information technology, and more flexible technical workforce training. Other goals sometimes include fast changes in production levels based on demand, optimization of the supply chain, efficient production and recyclability. In this concept, a smart factory has interoperable systems, multi-scale dynamic modelling and simulation, intelligent automation, strong cyber security, and networked sensors.
READ MORE ON WIKIPEDIASYNONYMS & ALIASES
- Industrial big data
- data-driven manufacturing
- manufacturing analytics
- smart data manufacturing
USAGE NOTE
Used to identify trends, optimize production schedules, improve quality, and predict equipment failures.
DEVELOPERS
Organizations developing technology related to Big Data Manufacturing.
Develops MindSphere, a cloud-based, open IoT operating system that connects industrial machines and systems to harness manufacturing data through advanced analytics.
Offers industrial software solutions, including Manufacturing Execution Systems (MES) and analytics platforms that collect and analyze machine data to optimize production and asset performance.
Provides industrial automation and digital transformation solutions, including the FactoryTalk software suite which uses big data analytics to improve manufacturing intelligence and operational efficiency.
Develops the SAP Digital Manufacturing Cloud, which integrates shop-floor data with business systems, enabling real-time data analysis for performance management and process optimization.
Creator of the ThingWorx Industrial IoT platform, which enables manufacturers to connect disparate systems, and build applications to analyze large-scale operational data for predictive maintenance and process improvement.
Offers the 3DEXPERIENCE platform, which includes DELMIA for manufacturing operations management. It creates virtual twins of production facilities, utilizing vast datasets for simulation, planning, and optimization.
Develops Industry 4.0 solutions through its Bosch Connected Industry division. Their software platforms, like the Bosch IoT Suite, collect and process data from machinery to enable smart manufacturing and predictive analytics.
Provides the Palantir Foundry platform, which integrates and analyzes vast, complex datasets from across the manufacturing value chain—from supply chain to factory floor sensors—to solve critical operational challenges.