Exploring the Power of Artificial Intelligence in Supply Chain Management: A Literature Review on the Artificial Intelligence Applications and Tools Used in Supply Chains and Their Distribution According to the SCOR Method

被引:1
作者
Harrir, Mohamed Mounir [1 ]
Triqui Sari, Lamia [1 ]
机构
[1] Univ Tlemcen, Chetouane, Tlemcen, Algeria
关键词
Artificial Intelligence (AI); Supply Chain Management (SCM); Supply Chain Operations Reference (SCOR) Model; Predictive Analytics; Supply Chain 4.0; FUZZY-LOGIC APPROACH; EXPERT-SYSTEM; MULTIAGENT SYSTEM; NEURAL-NETWORK; OPTIMIZATION ALGORITHM; TRADE-OFF; MODEL; SELECTION; PERFORMANCE; INTEGRATION;
D O I
10.1080/10429247.2024.2406125
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Since the beginning of the 21st century, supply chains have witnessed rapid and significant changes along with considerable developments due to the convergence between technology and globalization. The present study aims primarily to provide insight into the artificial intelligence (AI) tools used in Supply Chain Management Processes using the Supply Chain Operations Reference (SCOR) approach. It also seeks to examine the way AI tools can be applied to the outputs of each process and each application. The study follows a four-step systematic review approach that mainly involves literature collection between the years 2000 and 2022, descriptive analysis, category selection, and material evaluation. The main purpose of this work is to improve the capacity of making the most appropriate decisions through the use of the most suitable AI tools for each function and each process within supply chains in order to ensure the best management of these chains.
引用
收藏
页码:267 / 288
页数:22
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