A Framework for IoT-Enabled Smart Manufacturing for Energy and Resource Optimization
Bazigu Alex, Mwebaze Johnson
TL;DR
This paper presents an IoT-based framework for smart manufacturing that significantly improves energy efficiency and resource utilization through a multi-layered architecture, validated by simulation results.
Contribution
It introduces a novel IoT-enabled architecture for manufacturing that integrates sensors, edge, and cloud computing to optimize operations and sustainability.
Findings
18% reduction in energy consumption
22% decrease in machine downtime
15% improvement in resource utilization
Abstract
The increasing demands for sustainable and efficient manufacturing systems have driven the integration of Internet of Things (IoT) technologies into smart manufacturing. This study investigates IoT-enabled systems designed to enhance energy efficiency and resource optimization in the manufacturing sector, focusing on a multi-layered architecture integrating sensors, edge computing, and cloud platforms. MATLAB Simulink was utilized for modeling and simulation, replicating typical manufacturing conditions to evaluate energy consumption, machine uptime, and resource usage. The results demonstrate an 18% reduction in energy consumption, a 22% decrease in machine downtime, and a 15% improvement in resource utilization. Comparative analyses highlight the superiority of the proposed framework in addressing operational inefficiencies and aligning with sustainability goals. The study underscores…
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Taxonomy
TopicsDigital Transformation in Industry · Industrial Vision Systems and Defect Detection