Abstract :

The Logistics Industry Is Undergoing A Significant Transformation Driven By The Rapid Advancement Of Digital Technologies And The Increasing Demand For Efficient, Resilient, And Sustainable Supply Chain Operations. Among The Emerging Technologies, The Internet Of Things (IoT), Artificial Intelligence (AI), And Quantum Computing (QC) Have Attracted Considerable Attention Due To Their Ability To Enhance Operational Visibility, Decision-making, Automation, And Optimization. While Existing Studies Have Explored The Individual Contributions Of These Technologies To Logistics And Supply Chain Management, Limited Research Has Examined Their Integrated Role Within A Unified Smart Logistics Ecosystem. This Paper Develops A Convergent Framework That Combines IoT, AI, And Quantum Computing To Address Contemporary Logistics Challenges Such As Real-time Tracking, Predictive Analytics, Route Optimization, Inventory Management, Demand Forecasting, And Supply Chain Resilience. A Systematic Review Of Recent Literature Published Between 2018 And 2026 Is Conducted To Identify Technological Advancements, Industrial Applications, And Emerging Research Trends. The Study Critically Evaluates Existing Approaches And Highlights The Limitations Of Isolated Technology Implementations. Building On These Findings, A Conceptual Framework Is Proposed In Which IoT Functions As A Real-time Data Acquisition Layer, AI Serves As An Intelligent Analytics And Decision-support Engine, And Quantum Computing Provides Advanced Optimization Capabilities For Complex Logistics Problems. The Framework Aims To Improve Logistics Performance By Enhancing Efficiency, Sustainability, Responsiveness, And Customer Satisfaction. The Study Contributes Theoretically By Integrating Three Disruptive Technologies Into A Comprehensive Logistics Model, Managerially By Guiding Organizational Digital Transformation Strategies, Technologically By Identifying Interoperability Requirements, And Sustainably By Supporting Green Logistics Initiatives. The Findings Suggest That Convergence Among IoT, AI, And Quantum Computing Represents A Critical Pathway Toward Next-generation Smart Logistics Ecosystems Capable Of Addressing Increasing Global Supply Chain Complexity And Uncertainty

Published:

20-12-2024

Issue:

Vol. 24 No. 12 (2024)

Page Nos:

297-317

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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