首页|Data from Thapar Institute of Engineering and Technology Provide New Insights in to Machine Learning (Machine Learning and Digital Twins-enabled Supply Chain Res ilience: A Framework for the Indian FMCG Sector)

Data from Thapar Institute of Engineering and Technology Provide New Insights in to Machine Learning (Machine Learning and Digital Twins-enabled Supply Chain Res ilience: A Framework for the Indian FMCG Sector)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on artificial intelligenc e is the subject of a new report. According to news reporting out of Punjab, Ind ia, by NewsRx editors, research stated, "Disruptions highlight machine learning (ML)-powered digital twins as a significant technology to ensure supply chain re silience (SCR)." Our news correspondents obtained a quote from the research from Thapar Institute of Engineering and Technology: "The authors acquired supportive data by conduct ing semi-structured interviews with 37 fastmoving consumer goods supply chain p rofessionals. Using open, axial and selective coding approaches, the authors map ped and discovered the themes that constitute the essential elements of ML-enabl ed SCR. The findings of the research underscore four principal capabilities in which ML is poised to enhance the resilience of supply chains, namely (a) visibil ity, (b) supply chain analytics, © managing levels of inventory and (d) consumer behaviour."

Thapar Institute of Engineering and Tech nologyPunjabIndiaAsiaCyborgsEmerging TechnologiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN：
年,卷(期)：2024.(Oct.4)