// ROBOTICS AND SMART FACTORIES TERM
Cognitive Manufacturing
A manufacturing system that uses artificial intelligence and advanced analytics to learn, reason, and make decisions autonomously, adapting to changing conditions. It aims for self-optimizing and self-healing factories.
TECHNICAL DEFINITION
Cognitive Manufacturing integrates AI, machine learning, and advanced analytics to create self-learning and self-optimizing production systems capable of reasoning, adapting to dynamic conditions, and making autonomous decisions to enhance efficiency, quality, and responsiveness across the value chain.
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
- Self-learning manufacturing
- intelligent production
- adaptive manufacturing
- AI-driven cognitive systems
USAGE NOTE
Aims to create factories that can independently optimize processes, predict issues, and respond to market changes.
DEVELOPERS
Organizations developing technology related to Cognitive Manufacturing.
Develops cognitive solutions for manufacturing using its Watson AI platform, focusing on predictive maintenance, quality control, and supply chain optimization by analyzing vast amounts of IoT data.
A leader in industrial automation and digitalization, Siemens offers the MindSphere platform, a cloud-based, open IoT operating system that enables cognitive manufacturing through data analytics, AI, and digital twin technology.
Provides industrial software focused on asset performance management (APM), manufacturing execution systems (MES), and operations performance. Their solutions use data and analytics to optimize industrial processes.
A major provider of industrial automation and information technology. Through its 'Connected Enterprise' vision, it integrates plant-floor control with enterprise-level information systems to enable data-driven manufacturing decisions.
Provides foundational technology for cognitive manufacturing through its Azure cloud platform, offering Azure IoT, AI, and machine learning services that enable manufacturers to build and deploy intelligent factory solutions.
Through its Bosch Connected Industry unit, the company develops and implements Industry 4.0 solutions, including software for connected manufacturing and logistics, leveraging its experience as both a provider and a user of the technology.
Develops the ThingWorx Industrial IoT (IIoT) platform, which enables companies to connect assets, analyze data, and build applications to monitor, manage, and optimize industrial operations in real-time.
Offers the 3DEXPERIENCE platform, which provides manufacturers with a virtual environment to create digital twins of products and production processes, enabling AI-driven simulation and optimization.
Offers a suite of services for industrial clients, including AWS IoT and machine learning tools, which provide the cloud infrastructure and analytics capabilities for building cognitive manufacturing applications like predictive quality and asset monitoring.