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Chand / Jain / Ajmera

Data-Driven Technologies and Artificial Intelligence in Supply Chain

Tools and Techniques

Medium: Buch
ISBN: 978-1-032-61129-7
Verlag: CRC Press
Erscheinungstermin: 27.05.2025
Lieferfrist: bis zu 10 Tage

This book highlights the importance of data-driven technologies and artificial intelligence in supply chain management. It covers important concepts such as enabling technologies in Industry 4.0, the impact of artificial intelligence, and data-driven technologies in lean manufacturing.

- "Provides solutions to solve complex supply chain management issues using artificial intelligence and data-driven technologies"

- Emphasizes the impact of a data-driven supply chain on quality management

- "Discusses applications of artificial intelligence, and data-driven technologies in the service industry, and lean manufacturing"

- Highlights the barriers to implementing artificial intelligence in small and medium enterprises

- Presents a better understanding of different risks such as procurement risks, process risks, demand risks, transportation risks, and operational risks

The book comprehensively discusses the applications of artificial intelligence and data-driven technologies in supply chain management for diverse fields such as service industries, manufacturing industries, and healthcare. It further covers the impact of artificial intelligence and data-driven technologies in managing the FMGC supply chain. It will be a valuable resource for senior undergraduate, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, industrial engineering, manufacturing engineering, production engineering, and computer engineering.


Produkteigenschaften


  • Artikelnummer: 9781032611297
  • Medium: Buch
  • ISBN: 978-1-032-61129-7
  • Verlag: CRC Press
  • Erscheinungstermin: 27.05.2025
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2025
  • Serie: Intelligent Data-Driven Systems and Artificial Intelligence
  • Produktform: Kartoniert, Paperback
  • Gewicht: 447 g
  • Seiten: 290
  • Format (B x H x T): 156 x 234 x 16 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Herausgeber

Chapter 1 A Human-Centered Approach to Artificial Intelligence in Supply ChainKiruthiga Devi M, Murali Dhar M S, Unnamalai K and S.ShobanaChapter 2 A Proposed Artificial Intelligence and Blockchain Technique for Solving Health Insurance ChallengesKuldeep Tomar and Shivani SharmaChapter 3 Logistics Performance Measurement: A Data Envelopment Analysis Using The Logistics Performance Index 2018 DataM. Mujiya UlkhaqChapter 4 Artificial Intelligence to Complement Lean Approach in Healthcare IndustrySayantan Chakraborty, Palka Mittal, Koustuv Dalal, Jaseela Majeed and Luxita SharmaChapter 5 Artificial Intelligence: A Rescuer to Vaccine's Cold ChainPalka Mittal, Gaurav Aggarwal, Puneeta Ajmera, Pintu Das and Vineet JainChapter 6 Leveraging the Potential of Artificial Intelligence in Healthcare Supply Chain ManagementSapna YadavChapter 7 Artificial Intelligence Assisted Telemedicine: A Boon in HealthcareSheetal Yadav, Jaseela Majeed and Sheetal KalraChapter 8 The Landscape of Big Data and Supply Chain ManagementShweta SharmaChapter 9 The Emerging Roles of Artificial Intelligence in Chemistry and Drug DesignSimpi Mehta,Chapter 10 Impact of Data-Driven Supply Chain on Quality: Evidence from Medical Device Manufacturing IndustryPuneeta Ajmera, Kartikay Saini and Vineet JainChapter 11 Digital Supply Chain: Potentials, Capabilities and Risk Management Through Artificial Intelligence Kartikay Saini, Puneeta Ajmera, Vineet Jain and Mahesh ChandChapter 12 Big Data Analytics Based Agro Advisory System for Crop Recommendation Using Spark PlatformMadhuri J and Indiramma MChapter 13Application of Artificial Intelligence in Small and Medium Enterprises - An OverviewLaxmi Pandit Vishwakarma and Rajesh Kr SinghChapter 14 Industry 4.0 and Sustainable Supply Chain: A Review and Future Research AgendaAlok Yadav, Rajiv Kumar Garg , Anish Sachdeva and Sheetal SodaChapter 15 Role of Artificial Intelligence in Supply Chain ManagementDinesh Kumar, Nitin, Mahesh Chand