دانلود مقاله انگلیسی رایگان:یادگیری ماشین: بهترین راه برای حفظ زنجیره تأمین در عصر صنعت 4:0 - 2021
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  • Machine learning: Best way to sustain the supply chain in the era of industry 4:0 Machine learning: Best way to sustain the supply chain in the era of industry 4:0
    Machine learning: Best way to sustain the supply chain in the era of industry 4:0

    سال انتشار:

    2021


    عنوان انگلیسی مقاله:

    Machine learning: Best way to sustain the supply chain in the era of industry 4:0


    ترجمه فارسی عنوان مقاله:

    یادگیری ماشین: بهترین راه برای حفظ زنجیره تأمین در عصر صنعت 4:0


    منبع:

    Sciencedirect - Elsevier - Materials Today: Proceedings, Corrected proof: doi:10:1016/j:matpr:2021:01:267


    نویسنده:

    Devashish Nagar


    چکیده انگلیسی:

    With the rapidly growing importance in the industries on the adaptation of advanced technologies, the involvement of IT-enabled systems has increased in developing the pathway for the future industry. The learning’s from these technologies becomes paramount for the present industries which gives a sense of belongingness and significance of the industry towards the market. The digital revolution world-wide affected the physical happenings of the events in the manufacturing industries such as the procurement, manufacturing/assembling & distribution of goods. This digital reformation is known as Industry 4.0 which generally means the advancement in the existing business models where all the business operations are interconnected with each other by digital mode (virtual representation based on operations). In this kind of environment, it is being necessary to map all the operations digitally in such a manner so that the physical flows of resources/goods will not suffer at any stage. Machine learning in the present scenario is one of the thrust areas for the researchers and the practitioners. The output in the machine learning process is having many dependencies on the input data such as the functions and characteristics imparted to the machine at the earlier stage. The present paper aptly reflects the thoughts and reflections of present-day industries and the opportunities to express feelings, thoughts, and contribute towards the future industries.© 2021 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the 3rd International Conference on Computational and Experimental Methods in Mechanical Engineering.
    Keywords: Machine Learning (ML) | Supply Chain (SC) | Industry 4.0 | Resources utilization | Digital transformation


    سطح: متوسط
    تعداد صفحات فایل pdf انگلیسی: 7
    حجم فایل: 564 کیلوبایت

    قیمت: رایگان


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