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Applications of artificial intelligence methods for enhancing information sharing in supply chains: systematic review

Author(s)
NISRINE ZOUGAGH Hassan First University of Settat, Faculty of sciences and Techniques, IMII, 26000, Settat, Morocco
ABDELKABIR CHARKAOUI Hassan First University of Settat, Faculty of sciences and Techniques, IMII, 26000, Settat, Morocco
YASSINE ZOUITA Institut National Des Postes Et Telecom, SEEDS, 10000, Rabat, Morocco
Abstract
Supply chain Management SCM, improving Information Sharing IS becomes increasingly important to promote business, achieve a significant competitive advantage, and, ultimately, assure the survival and growth of firms. This paper reviews how artificial intelligence AI methods can improve SI in SCM by performing a systematic literature review. Its goal is to find out current AI techniques that can improve IS in SCM. According to our findings, Demand forecasts are the main shared information that attracted more attention. In addition, we found that AI methods are most commonly applied in production management. Furthermore, Machine learning (ML) is the most widely employed AI subset for enhancing IS in SC and the artificial neural network (ANN) is the most popular ML method.
Publication Details
Page(s) 6819-6841
DOI DOI not available
Published Journal: Journal of Theoretical and Applied Information Technology, Volume: 100, Issue: 23, Year: 2022

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Keywords
Artificial intelligence, Artificial Neural Network, Information Sharing, supply chain management, PRISMA
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