The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Opportunities and Challenges in Leveraging AI for Sustainable Supply Chain Management
|
|
Author(s): E. Devaraj (CMR University, India), Shiv Pratap Singh Yadav (Nitte Meenakshi Institute of Technology, India), S. Avinash (Reva University, India)and G. R. Manjunatha (TATA Consultancy Services, India)
Copyright: 2025
Pages: 28
Source title:
Sustainable Futures With Life Cycle Assessment in Industry 5.0
Source Author(s)/Editor(s): Kittisak Wongmahesak (Universiti Sultan Zainal Abidin, Malaysia), Fazida Karim (University Sultan Zainal Abidin, Malaysia)and Nititorn Wongchestha (Chongqing Technology and Business University, China)
DOI: 10.4018/979-8-3693-9346-8.ch007
Purchase
|
Abstract
Modern societies rely heavily on efficient supply chains to deliver products and services. Currently, supply chain management (SCM) faces multiple challenges such as external disruptions, modern technology integration, cost pressures, and sustainability demands. Supply chain management is improved by AI, but integrating it is challenging. Data complexity, quality issues, and the need for skilled personnel and a strong technological infrastructure are all issues that organizations must deal with. AI technology requires careful planning and resource allocation to change SCM operations. Artificial Intelligence (AI), a significant development from the digital and industrial revolutions, holds tremendous potential to address these challenges.
Related Content
|
Aditi Nag.
© 2026.
48 pages.
|
|
Mayur Thakur, Shikha Sharma, Trilochan Kumar.
© 2026.
44 pages.
|
|
Partha Mukhopadhyay, Prachee Parwanee.
© 2026.
36 pages.
|
|
Kamaraj Kalaimathy, Chathana Thagavel, Sofiya M. Karunanithi.
© 2026.
30 pages.
|
|
İlhami Ay, Murat Dal.
© 2026.
34 pages.
|
|
Vinupandyan Lakshmanan.
© 2026.
32 pages.
|
|
Muhammad Usman Tariq.
© 2026.
28 pages.
|
|
|