A systematic literature review on the adoption and effect of different I4.0 technologies in the automotive supply chain

Type de publication:

Conference Paper


Gerpisa colloquium, Bordeaux (2024)


automobile, I4.0, Supply chain management


We have witnessed how traditional manufacturing relationships have rapidly changed and allowed for new forms of interaction. For already a decade, the literature has been discussing the role that Industry 4.0 (I4.0) will play in shaping future manufacturing and how it has, till now, significantly impacted and, in some cases, disrupted traditional manufacturing processes. Industry 4.0 (I4.0) refers to ‘intelligent factories where manufacturing technologies are upgraded and transformed by cyber-physical systems (CPSs), the internet of things (IoT) and cloud computing.
This research presents an exploratory overview of recent developments in the global context by taking the automotive industry as an example. As a major player in global manufacturing, the automobile sector has been witnessing substantial transformations in its supply chain management practices due to stricter environmental regulations and the adoption of I4.0 principles.
Since the 2010s, we have witnessed how traditional manufacturing relationships are rapidly changing, allowing for new supplier interaction. On the one hand, industrial restructuring processes—with important digitalization efforts—and increasing investment in search of technological upgrades suggest restructuring the global value chain as we traditionally know it. On the other hand, we see an essential push towards increasing environmental regulations and creating and strengthening new (green) technologies and industries, strongly pushing for robotization and digitalization of industries and labor.
I4.0 integrates cutting-edge technologies such as the Internet of Things (IoT), artificial intelligence, big data analytics, and cyber-physical systems. It is a concept based on automating industrial systems and processes, digitalization, and interconnected data flow. Its goal is to achieve a smart factory in conjunction with intelligent supply chain management that reduces the lead time to respond to customer demand or unexpected events in the supply chain, improving productivity and efficiency at lower cost.
This article presents a state-of-the-art literature review of the applications of I4.0 in the auto industry and its effects on automotive supply chain management. The analysis shows that although this is a topic well addressed in the literature, this is done in a bilateral way where only one technology is analyzed with a relationship to supply chain management. Therefore, this article presents a combination of 22 I4.0 technologies in supply chain management.
The analysis is based on a compendium of 63 peer-reviewed articles obtained through an exhaustive search on Web of Science covering articles published between 2019 through December of 2023. The search was done using the keywords “Industry 4.0” OR “Smart Manufacturing” OR “I4.0” AND “Collaboration Supply Chain Management“as the topic of the articles.
The analytical review identifies challenges to the traditional supply chain, I4.0 technologies implemented (in the practice), and the identification of critical success factors in the implementation of these technologies. The preliminary results provide a mapped view of the disruptive impact of I4.0 on the traditional supply chain management of the automotive industry. The article contributes to the ongoing debate on the application of digital technologies in the manufacturing industry and offers valuable insight for researchers, practitioners, and policymakers entering this evolving field.

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