PLM, Control Design
Inside machines and embedded systems: New technologies will drive the digital factory of the future inside a machine in three ways. Greater efficiency and reliability will add value; new services will add revenue.
As technology advances, hardware needs to be updated for optimal efficiency.
When the research and development (R&D) team communicates with customers, automation product designs improve, and the resulting designs resolve pain points.
CAN J1939 is the communication network used by electronic diesel engines to transmit data about the operating conditions of the engines to other devices necessary to operate mobile machinery.
A seamless quality management system (QMS) allows companies to close gaps across product lifecycle manufacturing (PLM), enterprise resource planning (ERP), and manufacturing execution systems (MES) and enhance continuous improvement and Lean manufacturing initiatives.
Think Again: Control Engineering readers choose hot topics of 2017 based on online traffic at the automation industry website. What can you learn from these top Control Engineering articles of 2017? Also see the top three covers of 2017.
Cyber-physical production systems (CPPSs) strive to merge the real and virtual worlds, improving return on investment (ROI) by accelerating operations, reducing errors, and lowering costs. Interoperability is important to digitization.
Reliable energy efficiency: Space vehicles, among the most challenging and varied operating environments, require alternative energy sources with a multi-level control structure to exclude the risk of failures and ensure uninterrupted power supply in various flight modes.
An open Internet of Things operating system (IoT OS) aims to help manufacturers. Siemens, at its recently opened Asia-Pacific Digital Experience Center, explained the purpose and benefits of its MindSphere IoT OS to Control Engineering China.
Companies are using industrial control systems (ICS) and Big Data together to provide management with the insight to improve decision-making for planning, optimization, and continuous improvement of industrial plant operations.