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Mitsubishi Electric technologies have enabled the development of innovative composting machines that can turn food waste into high-quality fertiliser in just 24 hours. This solution responds to the global problem of waste, in particular food waste, which constitutes about 30% of landfill waste. For Radisson Blu Scandinavia, this technology enables the daily processing of food waste from restaurants, room service, and other food-related operations.

The applications of artificial intelligence (AI) in industrial environments are rapidly developing, presenting a number of opportunities to manufacturers. Not only can companies leverage machine learning to improve productivity and performance, they can also use it as a tool to enhance their experts’ know-how and support knowledge transfer across an enterprise. These last aspects, sometimes overlooked by companies, are among the most value-adding elements of AI, according to Christian Nomine, Strategic Product Manager for Visualization & Analytics EMEA at Mitsubishi Electric.

The future of the lithium-ion battery sector is incredibly bright. Over the approximately three decades since the technology made the transition from labs to production lines it’s gone from strength to strength and now stands poised to become a key factor in a global transportation revolution. As demands grow, so does the pressure on manufacturers. How can they effectively scale-up and improve their operations to turn the challenges that they face into opportunities?

Targeting machine-tool software development to expand Circular Digital-Engineering business

Mitsubishi Electric Corporation has recently announced that it has agreed to strategically partner with and invest in ModuleWorks GmbH, a leading software component provider for the digital manufacturing industry. The agreement builds on Mitsubishi Electric's ongoing collaboration with ModuleWorks, a highly regarded developer of cutting-edge CAD/CAM solutions, for the development of advanced technologies to generate machining-tool paths2 and conduct machine-tool simulations.

Data analysis and management are vital for the entire manufacturing sector, doing more than just optimising production processes and identifying the root causes of quality issues. For instance, another example is the significant role they play in reducing energy costs, allowing for more efficient and sustainable operations. Looking beyond individual assets, data sharing between information technology (IT) and operation technology (OT), enable the creation of interconnected facilities that enhance productivity even more.