Artículo

Revolutionizing Supply Chain Management: Real-time Data Processing and Concurrency

Resumen

In the contemporary business landscape, effective supply chain management (SCM) is paramount for organizations seeking to thrive amidst evolving market dynamics and heightened customer expectations. This research paper presents a pioneering approach to SCM that harnesses cutting-edge technologies, namely Kafka and Akka, to revolutionize data integration and decision-making processes. By leveraging Kafka as a robust distributed event streaming platform and Akka as a versatile toolkit for developing concurrent and distributed applications, our system facilitates seamless communication and coordination across diverse nodes within the supply chain network. This paper elucidates the intricacies of the proposed architecture, detailing the implementation methodology and performance evaluation metrics. Through a comprehensive examination, we demonstrate how our solution enhances supply chain visibility, fosters operational agility, and enables real-time responsiveness to market fluctuations and customer demands. Moreover, practical use cases exemplify the transformative impact of our approach on inventory management optimization, order fulfillment efficiency, and logistics optimization. Furthermore, we delve into the challenges encountered during implementation and deployment, offering insights into potential mitigative strategies. Finally, we outline avenues for future research, exploring emerging trends and opportunities in the realm of SCM empowered by Kafka and Akka technologies.
Autores
Vitali, FC; Pires, KM; Cardoso, IV; de Oliveira, EV; Bolan, M; Martins, PA; Cardoso, M
Título
Endodontic therapy in primary teeth: a bibliometric analysis of the 100 most-cited papers
Afiliaciones
Universidade Federal de Santa Catarina (UFSC); Universidade Federal de Minas Gerais
Año
2022
DOI
10.1590/1807-3107bor-2022.vol36.0049
Tipo de acceso abierto
gold
Referencia
WOS:000942129400050
Artículo obtenido de:
WOS
Fuente
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