The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
AI-Driven Digital Twins and Autonomous Operations for Sustainable Logistics and Procurement
Abstract
This chapter explores how Artificial Intelligence (AI), digital twins, and autonomous operations are transforming logistics and procurement into intelligent, resilient, and sustainable ecosystems. It examines theoretical foundations, sustainability drivers, and the integration of circular supply chain practices and ESG accountability. AI-driven digital twins enable real-time simulation, predictive analytics, and prescriptive optimization, while autonomous operations streamline warehousing, transport, and procurement with robotics, drones, and AI-based control towers. Case studies from healthcare and oil & gas illustrate practical applications, highlighting benefits and regulatory challenges in the GCC and MENA regions. Ethical, regulatory, and social implications are discussed alongside emerging innovations such as agentic AI, blockchain, IoT, and quantum-ready optimization. The chapter concludes with insights into future directions, emphasizing human-AI collaboration, transparency, and sustainability as critical enablers of next-generation global supply chains.
Related Content
|
Frederic Andres.
© 2027.
14 pages.
|
|
Kalsoom Safdar, Khairul Najmy Abdul Rani, Mohd Aminudin Jamlos, Siti Julia Rosli, Muhammad Usman Younus, Zanab Safdar.
© 2027.
27 pages.
|
|
Bani Adam, Binastya Anggara Sekti, Muhammad Adi Zacky Zahran.
© 2027.
24 pages.
|
|
Swetha Margaret T. A., Renuka Devi D..
© 2027.
31 pages.
|
|
Maurice Saluschke, Michael Schulz.
© 2027.
30 pages.
|
|
Mirjam Sepesy Maučec, Gregor Donaj.
© 2027.
16 pages.
|
|
Jorge A. Ruiz-Vanoye, Ocotlan Diaz-Parra, Ricardo A. Barrera-Cámara, Alejandro Fuentes-Penna, Francisco R. Trejo-Macotela, Jaime Aguilar-Ortiz, Eric Simancas-Acevedo.
© 2027.
21 pages.
|
|
|