3rd ICAI 2024

International Conference on Automotive Industry 2024

Mladá Boleslav, Czech Republic

The initial search produced numerous articles which were screened based on their titles and abstracts for relevance. Full-text assessments were then performed for potentially eligible articles; duplicates or redundant publications were removed ensuring data integrity. A structured data extraction form was created to systematically extract relevant information from selected articles including authors’ details, research methodologies employed, key findings, and implications for microservices architecture in cloud-based warehouse management systems. Data synthesis involved categorizing and organizing extracted information into thematic areas based on emergent patterns & recurrent themes. Quality assessment was carried out by evaluating research rigor, cultural credibility and insight relevance without any formal quality assessment tool but preferring peer reviewed publications from reputable journals/conferences contributing to the field. It is important to note certain limitations inherent in this methodology. The review process may be influenced by publication bias due to the absence of grey literature. Additionally, the transient nature of technology and enchanting research trends could result in gaps or omissions in reviewed literature. 4. Results The results section provides an overview of the conclusions drawn from the systematic examination of literature regarding the incorporation of microservices architecture in cloud-based warehouse management systems during the automotive industry’s shift to Industry 4.0. The following subsections outline important recurring topics and A review of the literature uncovered various prevalent topics related to the incorporation and execution of microservices architecture in cloud-based warehouse management systems. Major themes identified encompassed modularity, scalability, fault tolerance, and interoperability. Microservices were commonly praised for their capability to facilitate breaking down monolithic applications into loosely connected services, allowing separate deployment and upkeep. (Giuffrida, 2021) 4.2 Cloud-Based Warehouse Management Systems in the Automotive Sector A considerable amount of the literature under review emphasized the impact of cloud computing on changing warehouse management approaches in the automotive sector. The cost-effectiveness, flexibility, and scalability of cloud-based solutions were commended, especially for their ability to adapt to variable demand patterns and inventory volumes typical in automotive supply chains. (Tapia et al., 2020) 4.3 Integration Challenges and Considerations The literature highlights several challenges and factors to consider regarding microservices architecture and cloud-based warehouse management systems, despite their potential advantages. These include concerns about data security, issues with network latency, the risk of vendor lock-in, and the complexity involved in orchestrating applications based on microservices. Additionally, legacy infrastructure understandings discovered through this review process: 4.1 Emergent Themes in Microservices Architecture

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