Robotics & Machine Learning Daily News2024,Issue(Apr.12) :68-68.

Study Data from University of Siegen Update Knowledge of Machine Learning (A nov el machine learning model for predicting late supplier deliveries of low-volume- high-variety products with application in a German machinery industry)

Robotics & Machine Learning Daily News2024,Issue(Apr.12) :68-68.

Study Data from University of Siegen Update Knowledge of Machine Learning (A nov el machine learning model for predicting late supplier deliveries of low-volume- high-variety products with application in a German machinery industry)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on artificial intelligenc e is the subject of a new report. According tonews originating from Siegen, Ger many, by NewsRx correspondents, research stated, “Although MachineLearning (ML) in supply chain management (SCM) has become a popular topic, predictive uses of ML inSCM remain an understudied area. A specific area that needs further atten tion is the prediction of latedeliveries by suppliers.”

Key words

University of Siegen/Siegen/Germany/E urope/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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