Artificial Intelligence and Industry 4.0 Trends: A Comprehensive Review and Case Study Analysis in the Moroccan Context

Abstract

This paper presents a comprehensive study on the relationship between Artificial Intelligence (AI) and Industry 4.0, using a systematic literature review (SLR) approach complemented by a case study focused on Morocco. The Fourth Industrial Revolution has transformed production processes and automation globally, and our research aims to provide a thorough analysis of its implications within the Moroccan industrial landscape. We conducted an SLR across three prominent databases: Scopus, ScienceDirect, and Springer. Our aim was to use the queries ‘Artificial Intelligence’ and ‘Industry 4.0’ to identify highly cited articles published between 2014 and 2023. Subsequently, we guided a case study with interviews and employed VOS Viewer analysis to delve into the specific context of Morocco. The SLR yielded 114 relevant articles, which were analyzed using NVivo software, revealing a predominant focus on leveraging intelligent technologies, particularly deep learning & machine learning algorithms, to enhance industrial performance. The case study provided deeper insights into the Moroccan perspective, highlighting key areas of application such as Maintenance, Quality, and Supply Chain management. Our findings contribute to a better understanding of the intersection between AI and I4.0 in Morocco and offer valuable insights for researchers, policymakers, and industry stakeholders.