Enterprise integration and interoperability for big data-driven manufacturing operations

Patel, Dipteshkumar Madhukarbhai (2025) Enterprise integration and interoperability for big data-driven manufacturing operations. World Journal of Advanced Engineering Technology and Sciences, 15 (1). pp. 622-638. ISSN 2582-8266

[thumbnail of WJAETS-2025-0220.pdf] Article PDF
WJAETS-2025-0220.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial Share Alike.

Download ( 605kB)

Abstract

The convergence of emerging technologies such as the Internet of Things, big data analytics, and Artificial Intelligence has established Enterprise Integration and Interoperability as a critical scientific challenge in modern manufacturing. As the fourth industrial revolution gains momentum, traditional manufacturing enterprises face significant obstacles in adapting to new data management and interoperability paradigms. This article examines how Enterprise Integration and Interoperability frameworks can enable efficient communication among various services driven by big data in manufacturing environments, ultimately facilitating the digital transformation necessary for competitive advantage in the Industry 4.0 era.

Item Type: Article
Official URL: https://doi.org/10.30574/wjaets.2025.15.1.0220
Uncontrolled Keywords: Big Data Analytics; Digital Transformation; Enterprise Interoperability; Industry 4.0; Smart Manufacturing
Depositing User: Editor Engineering Section
Date Deposited: 04 Aug 2025 16:02
Related URLs:
URI: https://eprint.scholarsrepository.com/id/eprint/2741