This chapter explores the integration of IoT analytics within Sustainable Enterprise Resource Planning (S-ERP) systems in the context of Industry 4.0. It delves into the critical components of IoT analytics, including data collection, processing, and analysis, emphasizing their role in optimizing industrial processes, enhancing decision-making, and driving innovation. The chapter discusses various applications of IoT analytics across smart metering, smart transportation, and smart logistics, highlighting their contribution to sustainability and operational efficiency. Additionally, it examines the lifecycle of IoT data analytics and the impact of emerging technologies such as 5G and 6G on these processes. The chapter concludes by assessing the alignment of IoT analytics with Quality 4.0, emphasizing the transformative potential of these technologies in achieving sustainability and competitiveness in Industry 4.0 environments.

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Analytics for Harnessing IoT and Industry 4.0: Data Flows in S-ERP

  • Kushal Anjaria

摘要

This chapter explores the integration of IoT analytics within Sustainable Enterprise Resource Planning (S-ERP) systems in the context of Industry 4.0. It delves into the critical components of IoT analytics, including data collection, processing, and analysis, emphasizing their role in optimizing industrial processes, enhancing decision-making, and driving innovation. The chapter discusses various applications of IoT analytics across smart metering, smart transportation, and smart logistics, highlighting their contribution to sustainability and operational efficiency. Additionally, it examines the lifecycle of IoT data analytics and the impact of emerging technologies such as 5G and 6G on these processes. The chapter concludes by assessing the alignment of IoT analytics with Quality 4.0, emphasizing the transformative potential of these technologies in achieving sustainability and competitiveness in Industry 4.0 environments.