Abstract
Traditional manufacturing businesses lack the standards, skills, processes, and technologies to meet today's challenges of Industry 4.0 driven by an interconnected world. Enterprise Integration and Interoperability can ensure efficient communication among various services driven by big data. However, the data management challenges affect not only the technical implementation of software solutions but the function of the whole organization. In this paper, we bring together Enterprise Integration and Interoperability, Big Data Processing, and Industry 4.0 in order to identify synergies that have the potential to enable the so-called “Fourth Industrial Revolution.” On this basis, we propose an architectural framework for designing and modeling Industry 4.0 solutions for big data-driven manufacturing operations. We demonstrate the applicability of the proposed framework through its instantiation to predictive maintenance, a manufacturing function that increasingly concerns manufacturers due to the high costs, safety issues, and complexity of its application.
Highlights
Enterprise integration and interoperability has been established as a scientific challenge of outmost importance (Panetto et al, 2016), especially in the frame of the emergent technologies of the Internet of Things (IoT), big data, and Artificial Intelligence (AI)
Evaluation Results We evaluated the value of the proposed approach by performing a before/after analysis of KPIs retrieved by the Computerized Maintenance Management System (CMMS)
A key issue in Industry 4.0 is the effective application of the Reference Architecture Model Industrie (RAMI) 4.0 in various manufacturing operations
Summary
Enterprise integration and interoperability has been established as a scientific challenge of outmost importance (Panetto et al, 2016), especially in the frame of the emergent technologies of the Internet of Things (IoT), big data, and Artificial Intelligence (AI). The technical challenges for the transition to Industry 4.0 are strongly related to those of the whole business environment To this end, the Enterprise Integration and Interoperability research domain should be adapted to smart manufacturing requirements in order to facilitate the design and implementation of Industry 4.0 solutions and enable the stakeholders to meet their expectations. The key issue of any design and system development in the context of Industry 4.0 is the proper implementation of RAMI 4.0 in various manufacturing operations and the definition of appropriate sub-models for individual aspects and processes according to the technical background of Industry 4.0 (Zezulka et al, 2016; Moghaddam et al, 2018; Bousdekis et al, 2019a) To this end, there is the need for architectural frameworks that will enable the systematic design and development of Industry 4.0 solutions so that they tackle the big data-rich, complex, and uncertain manufacturing environment in a holistic way. Section Conclusions and Future Work concludes the paper and presents our plans for future work
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