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Siemens is developing a full suite of copilots to industrial-grade standards for the discrete and processmanufacturing industries and is now strengthening its Industrial Copilot offerings with the launch of an advanced maintenance solution, designed to redefine industrial maintenance strategies.
The Siemens Industrial Copilot ecosystem is continuously evolving to offer AI capabilities across the industrial valuechain and into sectors including discrete and processmanufacturing, infrastructure, and mobility.
Qualifying projects must focus on critical mineral processing, manufacturing and recycling; however, mining projects that show exceptional innovation benefits and strong vertical integration to grow domestic valuechains will be considered.
A future digital twin will be a one multi-purpose digital twin, which aligns the asset life cycle and valuechain, a multi-purpose dynamic simulator (MPDS), and ubiquitous data sources. The post Digital twin benefits for processmanufacturers appeared first on Control Engineering.
Advanced analytics applications help subject matter experts (SMEs) build models so they can better understand how process changes will improve environmental performance. Processmanufacturers looking to improve sustainability can use assets that already exist within their facility. Advanced Analytics Insights.
The proposed funding covers industrial activities, from geoscience and exploration to mineral processing, manufacturing and recycling applications, including support for research, development and technological deployment. VANCOUVER — The Government of Canada announced Canada’s Critical Minerals Strategy, backed by up to $3.8
million for the research, development, demonstration, commercialization and adoption of new technologies and processes that support sustainable growth in Canadian critical minerals valuechains and associated innovation ecosystems. Critical Minerals Geoscience and Data Initiative – $79.2
As experts in digital transformation, ifm manufactures industrial sensors and solutions for technical processes. Manufacturers’ Monthly finds out from national IoT business manager at ifm, Freddie Coertze, how the company is putting the power back into the engineer’s hands. Being the link in the digital valuechain is crucial.”.
The primary objective of smart manufacturing is to increase productivity, efficiency and flexibility while reducing waste, energy consumption and operational costs. Note 2: In addition to manufacturing, other enterprise domains can include engineering, logistics, marketing, procurement, sales or any other domains identified by the enterprise.
ML and artificial intelligence (AI) make the process easier and the cloud makes it possible to store large amounts of data. DX even extends to health, safety, and environmental management. Yokogawa recently completed a proof of concept (PoC) for optimizing operations at a U.S. wastewater reclamation facility producing potable water.
The Siemens Industrial Copilot ecosystem is continuously evolving to offer AI capabilities across the industrial valuechain and into sectors including discrete and processmanufacturing, infrastructure, and mobility.
An integrated operations center (IOC) can integrate disparate systems to underpin controlling and sustaining activities, or a centralized operations center (COC) may be more focused on converging IT/OT/ET data across the business valuechain for command and dispatch decisions.
The Endress+Hauser Group calculated its carbon footprint along the valuechain as the basis for the development of a climate strategy. Endress+Hauser recently joined the Science Based Targets initiative with the goal of reducing emissions to net-zero by 2050.
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