SUPPLY CHAIN MANAGEMENT OF MANUFACTURING PROCESSES USING MACHINE LEARNING TECHNIQUE

The expansion of the manufacturing processes network requires algorithms that can enable better planning and optimization of the manufacturing processes. Therefore, in the recent years the developments within the machine-learning (ML) and artificial intelligence (AI) have led to a new terminology, t...

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Bibliographic Details
Published in:Annals: Series on engineering sciences (Academy of Romanian Scientists)
Main Authors: Marcel ILIE, Augustin SEMENESCU
Format: Article
Language:English
Published: Editura Academiei Oamenilor de Știință din România 2024-06-01
Subjects:
supply chain management
manufacturing process
machine learning
probability
neural networks
bayesian statistics
Online Access:https://aos.ro/wp-content/anale/TVol16Nr1Art.3.pdf
Description
Summary:The expansion of the manufacturing processes network requires algorithms that can enable better planning and optimization of the manufacturing processes. Therefore, in the recent years the developments within the machine-learning (ML) and artificial intelligence (AI) have led to a new terminology, the so-called Industry 4.0. The fastest growth of Industry 4.0 has been encountered in the manufacturing, supply chain, services and products. The machine learning is prone to enable the development of smart supply-chains and manufacturing processes. The present research concerns the suitability and efficiency of the machine learning algorithm for the enhanced supply chain in manufacturing processes. The results show that the machine learning algorithm enables and enhances the efficiency of the manufacturing processes by clustering the machine-tools and increasing the number of manufactured components at the same tool location.
ISSN:2066-6950
2066-8570

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