Condition-Based Asset Monitoring in Logistics Infrastructure: Deep Learning Models for Predictive Failure Analysis in Retail Supply Networks

Authors

  • Nasir Memon Associate Professor of Cybersecurity

Keywords:

condition-based asset monitoring, logistics infrastructure, deep learning models, predictive failure analysis, machine learning

Abstract

In today's dynamic markets, retail supply chain organizations face multiple challenges to optimize their operations and processes. These challenges may account for up to a third of the costs of final products in markets where margins are particularly tight, reducing the ability to lower customer prices or invest in other initiatives to remain competitive.

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Published

31-12-2024

How to Cite

[1]
“Condition-Based Asset Monitoring in Logistics Infrastructure: Deep Learning Models for Predictive Failure Analysis in Retail Supply Networks”, Adv. in Deep Learning Techniques, vol. 4, no. 2, pp. 1–12, Dec. 2024, Accessed: Jun. 05, 2026. [Online]. Available: https://thesciencebrigade.com/adlt/article/view/761