Green Manufacturing? Tech Can Help

As manufacturing technological continues evolving it not only harnesses the potential to improve industrial efficiencies, but it also can help drive sustainability efforts forward including protecting the environment and reducing industrial emissions and waste output. In particular, digital technologies such as AI can serve as key enablers for achieving sustainability goals, explains AspenTech Chemical Industry Director Paige Morse. After all, technology solutions can address the key performance areas that companies are targeting including safety and reliability, environmental impact as well as efficiency and innovation.

AI is a perfect example. In a short period of time AI has already shown the ability to accurately predict operational issues before they become problems. It can identify unusual patterns of behavior in equipment/assets and, from there, determine if certain anomalies have a history of leading to certain malfunctions, detecting this sometimes even months in advance of an actual asset failure. The role this plays in sustainability is that AI can help to eliminate energy or material that would be wasted in ineffective or malfunctioning processes by essentially pre-empting those events with alerts to staff about the future issue at hand and then offering prescriptive action to operators on how to address it.

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Teledyne Relays Unveils Innovative Multi-Function Timer Series

Teledyne Relays, Inc. | January 29, 2024

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PsiQuantum, Mitsubishi UFJ Financial Group and Mitsubishi Chemical Announce Partnership to Design Energy-Efficient Materials on PsiQuantum’s

PsiQuantum | January 30, 2024

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Robotics and Automation

Kardex and Addverb start partnership in the area of intralogistics software

Kardex | January 25, 2024

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