IOT futuristic integration with ERP systems: A review
Abstract
The Internet of Things (IoT) and Enterprise Resource Planning (ERP) are two of the most disruptive information technologies, changing how modern enterprises operate. IoT enables connecting physical objects like machines, assets, and goods embedded with sensors, software, and connectivity to collect and exchange data over the internet. ERP software integrates business processes across departments into unified systems for insight and automation. Integrating IoT with ERP is an enormous opportunity for digital transformation across functions like manufacturing, logistics, and asset management. This research article provides a comprehensive analysis of the current status, key drivers, future potential, challenges, emerging approaches, and best practices related to IoT-ERP integration. While early use cases involve the basic connectivity of IoT with ERP for real-time visibility and reporting, huge potential exists for transformative changes through tighter convergence, like autonomous operations, intelligent workflows, new business models, etc. However, organizations face significant technology and business challenges around connectivity, data, security, integration complexity, skill shortages, and change management. The article discusses strategies to overcome these multifaceted challenges.
Various integration approaches are emerging, leveraging specialized middleware, ERP vendor IoT platforms, partner ecosystems, integration platforms as a service, APIs, and microservices. Enterprises need to assess their landscape and priorities to pick optimal techniques. Adopting best practices around case-driven pilots, flexible integration architecture, cross-functional teams, and industry benchmarks can maximize benefits while minimizing risks. With aging legacy ERP and exponential IoT growth, integrating the two technologies is urgent for future success. When systematically implemented, integrated IoT and ERP will form the core digital platforms, enabling smarter, more efficient, and more innovative future enterprises.
References
2. O'Donovan, P., Leahy, K., Bruton, K., & O'Sullivan, D. T. (2015). An industrial big data pipeline for data-driven analytics maintenance applications in large-scale smart manufacturing facilities. Journal of Big Data, 2(1), 25.
3. Zhou, K., Taigang, L., & Lifeng, Z. (2015). Industry 4.0: Towards future industrial opportunities and challenges. 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). doi:10.1109/fskd.2015.7382284
4. Shrouf, F., Ordieres, J., & Miragliotta, G. (2014). Smart factories in Industry 4.0: A review of the concept and of energy management approached in production based on the Internet of Things paradigm. 2014 IEEE International Conference on Industrial Engineering and Engineering Management. doi:10.1109/ieem.2014.7058728
5. Skola, I., & Liepins, E. (2018). Integration of Internet of Things in Enterprise Information Systems for Real-Time Data Collection and Enhanced Situation Awareness. Procedia Computer Science, 104, 157–164. doi: 10.1016/j.procs.2017.11.054
6. Vermesan, O., & Friess, P. (Eds.). (2014). Internet of things-from research and innovation to market deployment (Vol. 29). River publishers.
7. Bottani, E. (2019). Digital supply chain transformation toward supply chain 4.0: a literature review. Logistics. doi: 10.3390/logistics3010009
8. Reaidy, P. J., Gunasekaran, A., & Spalanzani, A. (2015). Bottom-up approach based on Internet of Things for order fulfillment in a collaborative warehousing environment. International Journal of Production Economics, 159, 29-40.
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