1
Gaziantep university, Turkey
(Kollnaar5@gmail.com)
2
Online Islamic University, Department Of Science and Information Technology, Doha, Qatar
(zayyyoood134@gmail.com )
3
Applied Engineering Department, Institute of Applied Technology, UAE
(rabah.scharif@aths.ac.ae)
Abstract :
The convergence of Industry 4.0 and sustainability has brought forth a new era of manufacturing, where data-driven approaches play a pivotal role in achieving operational efficiency while minimizing environmental impact. This paper presents an innovative framework for sustainable smart manufacturing through data-driven predictive maintenance planning. By integrating advanced analytics and machine learning, we propose a preemptive equipment management approach that not only optimizes production processes but also fosters environmental responsibility. Our methodology combines the power of Long Short-Term Memory (LSTM) networks for pattern modeling and the Sea Lion Optimization Algorithm for feature selection. We demonstrate the effectiveness of our approach through a comprehensive empirical analysis conducted on a real case study, where the results indicate significant improvements over baseline studies, as evidenced by reduced Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE), along with higher R-squared (R2) values. Our findings emphasize the synergy between technological innovation and sustainability imperatives, positioning our approach as a catalyst for reshaping modern manufacturing practices.
Keywords :
Sustainable manufacturing; green technologies; Environmental efficiency; Sustainable operations; Sustainable supply chain; Life cycle assessment; Equipment Management; Smart Factories; Artificial Intelligence.
References :
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| Style | # |
|---|---|
| MLA | Ahmed Hatip , Karla Zayood, Rabah Scharif. "Innovations at the Nexus of Sustainability and Industry 4.0: Data-Driven Approach for Preemptive Equipment Management in Smart Factories." International Journal of Wireless and Ad Hoc Communication, Vol. 7, No. 1, 2023 ,PP. 40-49 (Doi : https://doi.org/10.54216/IJWAC.070104) |
| APA | Ahmed Hatip , Karla Zayood, Rabah Scharif. (2023). Innovations at the Nexus of Sustainability and Industry 4.0: Data-Driven Approach for Preemptive Equipment Management in Smart Factories. Journal of International Journal of Wireless and Ad Hoc Communication, 7 ( 1 ), 40-49 (Doi : https://doi.org/10.54216/IJWAC.070104) |
| Chicago | Ahmed Hatip , Karla Zayood, Rabah Scharif. "Innovations at the Nexus of Sustainability and Industry 4.0: Data-Driven Approach for Preemptive Equipment Management in Smart Factories." Journal of International Journal of Wireless and Ad Hoc Communication, 7 no. 1 (2023): 40-49 (Doi : https://doi.org/10.54216/IJWAC.070104) |
| Harvard | Ahmed Hatip , Karla Zayood, Rabah Scharif. (2023). Innovations at the Nexus of Sustainability and Industry 4.0: Data-Driven Approach for Preemptive Equipment Management in Smart Factories. Journal of International Journal of Wireless and Ad Hoc Communication, 7 ( 1 ), 40-49 (Doi : https://doi.org/10.54216/IJWAC.070104) |
| Vancouver | Ahmed Hatip , Karla Zayood, Rabah Scharif. Innovations at the Nexus of Sustainability and Industry 4.0: Data-Driven Approach for Preemptive Equipment Management in Smart Factories. Journal of International Journal of Wireless and Ad Hoc Communication, (2023); 7 ( 1 ): 40-49 (Doi : https://doi.org/10.54216/IJWAC.070104) |
| IEEE | Ahmed Hatip, Karla Zayood, Rabah Scharif, Innovations at the Nexus of Sustainability and Industry 4.0: Data-Driven Approach for Preemptive Equipment Management in Smart Factories, Journal of International Journal of Wireless and Ad Hoc Communication, Vol. 7 , No. 1 , (2023) : 40-49 (Doi : https://doi.org/10.54216/IJWAC.070104) |