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Supply Chain Management Security Issues and Challenges in the Context of AI Applications
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Author(s): Imdad Ali Shah (School of Computing Science, Taylor's University, Malaysia), Raja Kumar Murugesan (School of Computer Science, Taylor's University, Malaysia)and Samina Rajper (Shah Abdul Latif University, Khairpur, Pakistan)
Copyright: 2024
Pages: 31
Source title:
Navigating Cyber Threats and Cybersecurity in the Logistics Industry
Source Author(s)/Editor(s): Noor Zaman Jhanjhi (School of Computing Science, Taylor’s University, Malaysia)and Imdad Ali Shah (School of Computing Science, Taylor’s University, Malaysia)
DOI: 10.4018/979-8-3693-3816-2.ch002
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Abstract
Logistics generally relates to the careful preparation and performance strenuous activity. To meet the needs of customers or enterprises, logistics is broadly defined as managing the flow of items from their point of production to their location of consumption. According to studies, up to 90% of a company's sustainability consequences are attributable to its supply chain. These crucial supply chain flaws have been made public by the COVID-19 pandemic. Additionally, businesses are making many sustainability pledges because of legislative and consumer pressure for climate action. Current procedures have the potential to be streamlined with artificial intelligence (AI) innovation in logistics. Numerous developments are pushing automation to the top of the logistics CEO's agenda. The first step toward extensive optimization is automation, which many businesses have already adopted to maintain competitiveness.
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