A Review of Artificial Intelligence applications in Supply Chain

Autor: Mariam Atwani, Mustapha Hlyal, Jamila Elalami
Rok vydání: 2022
Zdroj: ITM Web of Conferences. 46:03001
ISSN: 2271-2097
DOI: 10.1051/itmconf/20224603001
Popis: Nowadays, the supply chain faces several challenges, among others, uncertainty relating to demand, stochasticity, and bullwhip effect, as well as external disruptions, risks and crises which can temporarily or durably impact customer’s service, Science has therefore become increasingly interested in an industrial revolution, namely Industry 4.0 which Artificial Intelligence is the most commonly used technology that is capable of revolutionizing many industries and fields. The aim of this article is to review the literature on the Artificial Intelligence applications in Supply Chain and the most used approaches in planning, prediction, purchasing, procurement, transportation and distribution to improve the performance, resilience and efficiency of the Supply chain.
Databáze: OpenAIRE