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A Conceptual Model for Industry 4.0 Integration to Drive Digital Transformation in Renewable Energy Manufacturing
Subject area: Science,Engineering and Technology · Area of research: Renewable Energy
Abstract
This paper proposes a comprehensive conceptual model for integrating Industry 4.0 technologies into renewable energy manufacturing to drive digital transformation. The model addresses critical challenges in the renewable energy and automotive sectors by leveraging low-code platforms, real-time data analytics, and automation tools, including resource inefficiency, production bottlenecks, and sustainability compliance. Key components of the model include advanced analytics for data-driven decision-making, automation pipelines for streamlining workflows, and sustainability metrics for environmental impact assessment. The interplay between innovation, efficiency, and sustainability is explored, demonstrating how these technologies can enhance production efficiency, foster innovation, and minimize environmental footprints. Strategic recommendations are provided to guide industry stakeholders in adopting the model, including phased technology deployment, workforce training, and collaborative ecosystem development. Future research directions focus on advancing machine learning, integrating renewable energy sources into manufacturing, and improving supply chain transparency. This paper highlights the transformative potential of Industry 4.0 in reshaping the renewable energy manufacturing landscape, contributing to global sustainability goals and industrial innovation.
Keywords
Industry 4.0, Renewable energy manufacturing, Low-code platforms, Real-time data analytics, Automation tools, Sustainability integration
How to cite this paper
@article{1702845,
author = {Chukwuemeka Chukwuka Ezeanochie, Samuel Olabode Afolabi, Oluwadayomi Akinsooto},
title = {A Conceptual Model for Industry 4.0 Integration to Drive Digital Transformation in Renewable Energy Manufacturing},
journal = {Iconic Research And Engineering Journals},
year = {2021},
volume = {5},
number = {1},
pages = {409-417},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1702845.pdf},
abstract = {This paper proposes a comprehensive conceptual model for integrating Industry 4.0 technologies into renewable energy manufacturing to drive digital transformation. The model addresses critical challenges in the renewable energy and automotive sectors by leveraging low-code platforms, real-time data analytics, and automation tools, including resource inefficiency, production bottlenecks, and sustainability compliance. Key components of the model include advanced analytics for data-driven decision-making, automation pipelines for streamlining workflows, and sustainability metrics for environmental impact assessment. The interplay between innovation, efficiency, and sustainability is explored, demonstrating how these technologies can enhance production efficiency, foster innovation, and minimize environmental footprints. Strategic recommendations are provided to guide industry stakeholders in adopting the model, including phased technology deployment, workforce training, and collaborative ecosystem development. Future research directions focus on advancing machine learning, integrating renewable energy sources into manufacturing, and improving supply chain transparency. This paper highlights the transformative potential of Industry 4.0 in reshaping the renewable energy manufacturing landscape, contributing to global sustainability goals and industrial innovation.},
keywords = {Industry 4.0, Renewable energy manufacturing, Low-code platforms, Real-time data analytics, Automation tools, Sustainability integration},
month = {July},
}