Enterprise Architecture Design and Implementation for IoT Integration in Manufacturing Electrical Panels

Djarot Hindarto; Ferial  Hendrata; Mohammad Iwan  Wahyuddin; Sigit  Wijanarko

doi:10.47709/cnahpc.v6i1.3365

Authors

Djarot Hindarto Prodi Informatika, Fakultas Teknologi Komunikasi dan Informatika, Universitas Nasional Jakarta
Ferial Hendrata Prodi Sistem Informasi, Universitas Narotama, Surabaya, Indonesia
Mohammad Iwan Wahyuddin Prodi Informatika, Fakultas Teknologi Komunikasi dan Informatika, Universitas Nasional Jakarta
Sigit Wijanarko Prodi Informatika, Fakultas Teknologi Komunikasi dan Informatika, Universitas Nasional Jakarta

DOI:

10.47709/cnahpc.v6i1.3365

Keywords:

Data Interoperability, Enterprise Architecture, Electrical Panel Manufacturing, Internet of Things, Optimized Manufacturing Landscape

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Abstract

Internet of Things technology has transformed manufacturing efficiency and optimization. Electrical panel manufacturing benefits from Internet of Things for better functionality, predictive maintenance, and smoother operations. This study examines the design and implementation of an Enterprise Architecture strategy for seamless Internet of Things integration in electrical panel manufacturing. This research aims to explain Enterprise Architecture and use it as a framework for Internet of Things integration in electrical panel manufacturing. This study examines the complex relationships between Internet of Things components, their connectivity, and a broad Enterprise Architecture framework needed to organize their functionality. This integration uses Enterprise Architecture principles to optimize resource use, reduce downtime, and improve manufacturing efficiency. This effort involves analyzing existing infrastructure, identifying Internet of Things deployment points, and creating an Enterprise Architecture plan that meets business goals. This research emphasizes the need for close IT-operations collaboration to achieve a unified vision and smooth Internet of Things integration. This research addresses Internet of Things implementation challenges in manufacturing, including security, data interoperability, and scalability. Strong governance and adaptable architecture are stressed to address these challenges within an Enterprise Architecture framework. This research aims to help electrical panel manufacturers harness the transformative power of the Internet of Things. Strategic Enterprise Architecture helps businesses navigate complexity, leverage Internet of Things, and create a more agile, connected, and optimized manufacturing landscape.

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References

Afarini, N., & Hindarto, D. (2023). The Proposed Implementation of Enterprise Architecture in E-Government Development and Services. 3(December), 219–229.

Amanda, D., Hindarto, D., Indrajit, E., & Dazki, E. (2023). Proposed use of TOGAF-Based Enterprise Architecture in Drinking Water Companies. Sinkron, 8(3), 1265–1277. https://doi.org/10.33395/sinkron.v8i3.12477

Aruquipa, G., Diaz, F., Aruquipa, G., & Diaz, F. (2022). An IoT architecture based on the control of Bio Inspired manufacturing system for the detection of anomalies with vibration sensors. 1–13.

Barrios, P., Danjou, C., & Eynard, B. (2022). Literature review and methodological framework for integration of IoT and PLM in manufacturing industry. 140.

Camatti, J. A., Rabelo, G. M., Borsato, M., & Pellicciari, M. (2020). Comparative study of open IoT architectures with TOGAF for industry implementation. Procedia Manufacturing, 51, 1132–1137. https://doi.org/10.1016/j.promfg.2020.10.159

Chandnani, N., & Khairnar, C. N. (2022). An analysis of architecture , framework , security and challenging aspects for data aggregation and routing techniques in IoT WSNs. 929, 95–113.

Clemente, M., & Domingues, L. (2023). Analysis of Project Management Tools to support Knowledge Management. Procedia Computer Science, 219(2022), 1769–1776. https://doi.org/10.1016/j.procs.2023.01.472

Coito, T., Firme, B., Martins, M. S. E., Costigliola, A., Lucas, R., & Vieira, S. M. (2022). Integration of industrial IoT architectures for dynamic scheduling. 171(January 2021).

Gopal, L., Singh, H., Mounica, P., Mohankumar, N., Panini, N., & Jayaraman, P. (2023). Digital twin and IOT technology for secure manufacturing systems. 25(August 2022).

Hindarto, D. (2023a). Application Of Customer Service Enterprise Architecture In The Transportation Industry. Journal of Computer Networks , Architecture and High Performance Computing, 5(2), 682–692.

Hindarto, D. (2023b). Blockchain-Based Academic Identity and Transcript Management in University Enterprise Architecture. 8(4), 2547–2559.

Hindarto, D. (2023c). The Management of Projects is Improved Through Enterprise Architecture on Project Management Application Systems. 3(August), 151–161.

Jain, H. (2023). An approach for real time management of global manufacturing enterprises based on Digital Data Stream. Procedia Computer Science, 219, 1075–1080. https://doi.org/10.1016/j.procs.2023.01.386

Kumar, R., & Agrawal, N. (2023). Analysis of multi-dimensional Industrial IoT (IIoT) data in Edge–Fog–Cloud based architectural frameworks?: A survey on current state and research challenges. 35(March 2022).

Lee, I. (2021). The Internet of Things for enterprises?: An ecosystem , architecture , and IoT service business model. 7(2019).

Mishra, S. (2023). Internet of things enabled deep learning methods using unmanned aerial vehicles enabled integrated farm management. 9(July).

Prawira, K. T., Hindarto, D., & Indrajit, E. (2023). Application of Enterprise Architecture in Digital Transformation of Insurance Companies. 8(2), 856–865.

Rooij, S. W. Van. (2009). Scaffolding project-based learning with the project management body of knowledge ( PMBOK Ò ). 52, 210–219. https://doi.org/10.1016/j.compedu.2008.07.012

Sakr, M., & Sadhu, A. (2023). Visualization of structural health monitoring information using Internet-of-Things integrated with building information modeling. 2(August).

Saleem, M., Tayeh, B. A., Abu, Y. I., & Maglad, A. M. (2023). Potential features of building information modeling (BIM) for application of project management knowledge areas in the construction industry. 9(December 2022).

Siddiqui, H., Khendek, F., & Toeroe, M. (2023). Microservices based architectures for IoT systems - State-of-the-art review. 23(June).

Tanghatari, E., Kamal, M., Afzali-kusha, A., & Pedram, M. (2023). Federated learning by employing knowledge distillation on edge devices with limited hardware resources. 531, 87–99.

Tavana, M., Hajipour, V., & Oveisi, S. (2020). IoT-based enterprise resource planning: Challenges, open issues, applications, architecture, and future research directions. Internet of Things, 11, 100262. https://doi.org/10.1016/j.iot.2020.100262

Vilas, R., William, P., Madhukar, P., Narayan, D., & Rajendra, A. (2023). Smart city implementation based on Internet of Things integrated with optimization technology. 27(February).

Wedha, B. Y., & Hindarto, D. (2023). Maximizing ERP Benefits with Enterprise Architecture?: A Holistic Approach. 5(2), 703–713.