Supply Chain & Logistics Management

Registration ID: IJNRD_223125

Published ID: IJNRD2406056

DOI: Click Here to Get

Keshav Agarwal , Atul Rajput , Tapan Kant

Optimum route Prediction, Machine Learning, Predictive Modelling, Logistics, Feature Selection, Inventory management, Comparative Analysis

This paper offers a structured examination of research pertaining to the utilization of artificial intelligence (AI) in supply chain management (SCM). Through a methodical exploration of the pertinent literature, we have identified 150 journal articles spanning from 1998 to 2020. A comprehensive bibliometric assessment has been conducted to delineate the historical evolution and current status of this body of literature. Employing a co-citation analysis on this corpus of articles has yielded insights into the interconnected themes that define this field of inquiry. In order to guide our discourse, we have devised and authenticated an AI classification framework, which serves as a metric for our bibliometric and co-citation inquiries. This taxonomy comprises three principal research domains: (a) perception and interaction, (b) knowledge acquisition, and (c) decision formulation. These domains collectively establish a foundation for both ongoing and prospective investigations into the integration of AI methodologies within SCM literature and practice. Our examination of the predominant research clusters reveals a gradual increase in the adoption of knowledge acquisition techniques, alongside an emergent interest in perception and interaction methodologies. Lastly, we delineate a trajectory for future explorations into AI applications within SCM, underscoring the imperative of incorporating behavioral perspectives in forthcoming studies.

Published Paper   E-Certificate

Keshav Agarwal, Atul Rajput, & Tapan Kant (June-2024). Supply Chain & Logistics Management . INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(6), a590-a600. https://ijnrd.org/papers/IJNRD2406056.pdf

Volume 9 Issue 6, June-2024

Pages : a590-a600

Paper Reg. ID: IJNRD_223125

Published Paper Id: IJNRD2406056

Downloads: 000121989

Research Area: Computer Science & Technology 

Country: Chandausi, Uttar Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2406056.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2406056

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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