MARC

Tag First Indicator Second Indicator Subfields
LEADER 00000nam a2200000 i 4500
001 in00005778979
005 20260418233625.1
006 m eo u
007 cr bn||||m|||a
008 260102s2026 pau fob 001 0 eng d
040 |a IGIGL  |b eng  |e rda  |c IGIGL  |d OCLCO  |d OCLCQ  |d YDX 
020 |a 9798337370088 (electronic bk.) 
020 |z 9798337370064  |q print 
024 7 |a 10.4018/979-8-3373-7006-4  |2 doi 
035 |a (OCoLC)1565364976 
050 4 |a HD38.5  |b .S23 2026e 
082 0 4 |a 658.7  |2 23 
245 0 0 |a Accelerating logistics through generative AI, digital twins, and autonomous operations /  |c Abdelrehim Awad, Dhafer Al Ahmari, editors. 
246 3 |a Accelerating logistics through generative artificial intelligence, digital twins, and autonomous operations 
264 1 |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :  |b IGI Global Scientific Publishing,  |c 2026. 
300 |a 1 online resource (16 PDFs (368 pages)). 
336 |a text  |2 rdacontent  |b txt 
337 |a electronic  |2 isbdmedia  |b c 
338 |a online resource  |2 rdacarrier  |b cr 
353 |a bibliography  |b bibl  |0 http://id.loc.gov/vocabulary/msupplcont/bibliography  |2 msupplcont 
353 |a index  |b ind  |0 http://id.loc.gov/vocabulary/msupplcont/index  |2 msupplcont 
490 1 |a e-Book Collection 
504 |a Includes bibliographic references and index. 
505 0 |a Preface -- Chapter 1. AI, Digital Twins, and Sustainability in Supply Chains: Foundations, Innovations, and Future Directions -- Chapter 2. Enhancing Sustainable Supply Chain Through AI Embedded in ERP Systems -- Chapter 3. AI-Driven Digital Twins and Autonomous Operations for Sustainable Logistics and Procurement -- Chapter 4. The Economic Impact of Autonomous Systems and Robotics on the Labor Market in the Logistics Sector: A Three-Dimensional Examination -- Chapter 5. The Sentient Core: AI-Powered Digital Twins and Unified Data Fabric for Logistics -- Chapter 6. Agentic Control Towers: Multi Agent LLM RL Orchestration for Autonomous and Resilient Supply Chains -- Chapter 7. Generative AI and Digital Twins for Sustainable Last-Mile Logistics: Enabling Green Operations and Electric Vehicle Integration -- Chapter 8. Intelligent Logistics: Generative AI, Digital Twins, and Autonomous Supply Chains in GCC and Beyond -- Chapter 9. From Dashboards to Decisions: Prescriptive Agentic Supply Chain Control Towers -- Chapter 10. Rise of the Self-Driven Machine: Inside the World of Agentic AI -- Compilation of References -- About the Contributors -- Index. 
520 3 |a Accelerating logistics through generative AI, digital twins, and autonomous operations explores how generative AI, digital twins, and autonomous operations transform the logistics industry by enhancing efficiency, agility, and real-time decision-making. It examines the impact of these technologies on supply chain optimization, operational resilience, and the future of automated logistics systems. This book covers topics such as large language models, robotics, and security and privacy, and is a useful resource for business owners, engineers, academicians, researchers, and scientists. 
588 |a Description based on title screen (IGI Global, viewed 01/02/2026). 
650 0 |a Business logistics  |x Data processing. 
650 0 |a Artificial intelligence  |x Economic aspects. 
650 0 |a Digital twins (Computer simulation) 
650 6 |a Intelligence artificielle  |x Aspect économique. 
653 |a Agentic Artificial Intelligence. 
653 |a Autonomous Systems. 
653 |a Data Science. 
653 |a Digital Twins. 
653 |a Economics and Economic Theory. 
653 |a Generative Artificial Intelligence. 
653 |a Large Language Models. 
653 |a Logistics and Supply Chain. 
653 |a Operations and Service Management. 
653 |a Robotics. 
653 |a Security and Privacy. 
653 |a Sustainable Development. 
655 4 |a Electronic books. 
700 1 |a Ahmari, Dhafer Al,  |e editor. 
700 1 |a Awad, Abdelrehim,  |e editor. 
710 2 |a IGI Global Scientific Publishing,  |e publisher. 
776 0 8 |i Print version:  |z 9798337370064 
830 0 |a e-Book Collection. 
852 8 |b POD  |z This title is available for the library to purchase for your use. Click the "Purchase It For Me" button to place a request. This item will take 5-10 business days to arrive. 
955 |a Ebook POD title 
961 |m 565731 
999 f f |i ad5cbea8-f5ae-4ff0-addc-1385438d92ca  |s 3bc0e7e6-66a4-4c02-8f72-2200790e5c07  |t 0 
952 f f |a Texas A&M University  |b College Station  |c Sterling C. Evans Library  |s Evans POD  |d Purchase on Demand  |t 0  |e HD38.5 .S23 2026e  |h Library of Congress classification 
998 f f |a HD38.5 .S23 2026e  |t 0  |l Purchase on Demand