// ROBOTICS AND SMART FACTORIES TERM
Process Control
Process control involves using various methods and tools to monitor and adjust a manufacturing process to ensure it operates consistently and produces desired results. It often uses feedback loops.
TECHNICAL DEFINITION
Process Control is the discipline of ensuring a manufacturing or industrial process operates within desired parameters and specifications, utilizing sensors, actuators, and control algorithms (e.g., PID controllers, SPC) to monitor variables, detect deviations, and make real-time adjustments for stability and quality.
BACKGROUND
Statistical process control (SPC) or statistical quality control (SQC) is the application of statistical methods to monitor and control the quality of a production process. This helps to ensure that the process operates efficiently, producing more specification-conforming products with less waste scrap. SPC can be applied to any process where the "conforming product" output can be measured. Key tools used in SPC include run charts, control charts, a focus on continuous improvement, and the design of experiments. An example of a process where SPC is applied is manufacturing lines.
READ MORE ON WIKIPEDIASYNONYMS & ALIASES
- Industrial control
- Automatic control
- Statistical Process Control
- SPC
USAGE NOTE
Automated process control systems are essential for maintaining quality and efficiency in modern factories.
DEVELOPERS
Organizations developing technology related to Process Control.
A global technology powerhouse, Siemens provides extensive automation and digitalization solutions, including process control systems (DCS, PCS 7), Programmable Logic Controllers (PLCs), and industrial software (e.g., SIMATIC, MindSphere). Their technology enables advanced process control, digital twins, and AI-driven optimization, which are crucial for the adaptable and intelligent manufacturing environments envisioned by Industry 5.0.
Rockwell Automation specializes in industrial automation and information solutions, offering PLCs (Allen-Bradley), PACs, motor control, and software (FactoryTalk Suite) for real-time process control, data acquisition, and analytics. Their focus is on building smarter, more productive, and resilient manufacturing operations, aligning with Industry 5.0's emphasis on agility and human-machine collaboration.
ABB delivers comprehensive automation solutions for process and hybrid industries. Their offerings include leading Distributed Control Systems (DCS) like ABB Ability System 800xA, advanced process control applications, and collaborative robotics. These technologies are instrumental in enhancing efficiency, ensuring safety, and driving sustainable operations within Industry 5.0 frameworks.
A global leader in process control, Honeywell provides advanced Distributed Control Systems (DCS) such as Experion PKS, industrial software, and digital transformation solutions. They focus on optimizing production, ensuring operational integrity, and facilitating intelligent and human-centric operations across critical infrastructure and process industries.
Emerson offers a broad portfolio of automation technologies and software, including DeltaV Distributed Control Systems (DCS), measurement and analytical instruments, and final control elements. Their solutions are designed to optimize production, reduce energy consumption, and enhance safety and reliability in process industries, directly supporting Industry 5.0's efficiency and sustainability goals.
Schneider Electric develops industrial automation and control solutions, including their EcoStruxure Plant and Machine architecture, PLCs, and SCADA systems. They focus on energy management, real-time optimization, and cybersecurity, aiming to build resilient, sustainable, and human-integrated industrial operations fit for Industry 5.0.
Yokogawa specializes in industrial automation and control, particularly known for its highly reliable Distributed Control Systems (DCS) like CENTUM VP, advanced control applications, and operational technology solutions. They provide stability, efficiency, and safety for continuous process industries, enabling autonomous operations and contributing to resilient and sustainable production in line with Industry 5.0.