article thumbnail

Siemens Switchgear Ltd., Shanghai expands robotic deployments with Geek+ for lean production via smart automation

AU Manufacturing

Geekplus, the global leader in autonomous mobile robots, has expanded collaboration with electronic components manufacturer Siemens Switchgear Ltd., Shanghai with the second phase of a smart manufacturing automation project. For more information, please visit: [link].

article thumbnail

The Future of Smart Supply Chain with Industry 4.0

ATS

include: Advanced analytics: Supply chain and the smart factory make use of data and analytics, facilitating more informed decision-making through in-depth data analysis and real-time access to information, producing more effective inventory management, ordering, planning, forecasting and more. Industry 4.0

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Moxa Demonstrates Advances in Mobile Automation With Industrial 5G Solutions at Hannover Messe 2023

i4.0 today

The demonstration will highlight Moxa’s breakthroughs in tackling the complexity of Operational Technology (OT) and Information and Communications Technologies (ICT) convergence to realize private 5G networks for a wide range of industrial applications. Moxa Inc.,

article thumbnail

Why should manufacturers in Australia invest in Digital Transformation for effective production?

Factory Worx

Reduce costs You can improve your understanding of problems like delivery status, inventory levels and demand cycles with the help of digital manufacturing. By having more information, you can be in a better position to handle supply and demand fluctuations. By analysing information from human resources, warehousing or sales.

article thumbnail

Back In Action: An MCMT Special

Dinesh Mishra

PEB manufacturing is also another industry which is witnessing a lot of investments due to the increase in demand for warehousing requirements and improvement of logistics industry. The deviation information is then processed for correcting the manufacturing process.