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The Role of Digital Twins in Optimizing Renewable Energy Utilization and Energy Efficiency in Manufacturing Igbokwe, Nkemakonam Chidiebube; Nwamekwe, Charles Onyeka; Ono, Chukwuma Godfrey; Nwabunwanne, Emeka Celestine; Aguh, Patrick Sunday
Siber International Journal of Digital Business (SIJDB) Vol. 1 No. 4 (2024): (SIJDB) Siber International Journal of Digital Business (April - June 2024)
Publisher : Siber Nusantara Review & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sijdb.v1i4.262

Abstract

Digital twin (DT) technology is revolutionizing manufacturing by bridging the gap between physical and virtual environments, enabling real-time monitoring, simulation, and optimization of processes. This paper explores the pivotal role of DTs in enhancing renewable energy utilization and energy efficiency within manufacturing ecosystems. The study delves into how DTs facilitate renewable energy forecasting, resource scheduling, and integration into manufacturing operations. Through real-time energy flow analysis, DTs aid in identifying inefficiencies, optimizing production processes, and implementing waste heat recovery systems. Specific applications in automotive and electronics manufacturing underscore the transformative impact of DTs, showcasing reductions in energy consumption and operational costs while improving resilience against energy variability. Case studies highlight successful integrations of DTs with renewable energy systems, such as photovoltaic installations, which strategically align energy-intensive activities with peak energy availability. Moreover, this research examines the challenges associated with DT adoption, including high implementation costs, data integration complexities, and organizational resistance, alongside emerging solutions tailored for scalability, particularly for small and medium-sized enterprises (SMEs). Future directions emphasize the incorporation of blockchain and artificial intelligence to enhance energy transaction security, data-driven decision-making, and operational autonomy. The paper also advocates for the development of global standards and supportive policies to foster widespread DT adoption. By showcasing both the current applications and future potential of DTs, this review underscores their critical role in driving sustainability, operational efficiency, and energy resilience in the manufacturing sector.
Human-Robot Collaboration in Industrial Engineering: Enhancing Productivity and Safety Charles Onyeka Nwamekwe; Igbokwe Nkemakonam Chidiebube; Ono Chukwuma Godfrey; Nwabunwanne Emeka Celestine; Aguh, Patrick Sunday
Journal of Industrial Engineering & Management Research Vol. 6 No. 5 (2025): October 2025
Publisher : AGUSPATI Research Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.7777/jiemar.v6i5.601

Abstract

Human-Robot Collaboration (HRC) is revolutionizing industrial engineering by integrating collaborative robots (cobots) into shared workspaces to enhance productivity, safety, and operational efficiency. This research explores the paradigm shift from traditional automation to human-centric Industry 5.0 principles, focusing on cobots' role in addressing ergonomic challenges, optimizing workflows, and ensuring safe human-robot interaction. It emphasizes the adaptability of cobots to various applications, from manufacturing to logistics, showcasing their potential to transform industrial processes. Key topics include the evolution of cobots, their industrial use cases, and the ergonomic benefits they provide by reducing workplace injuries and enhancing worker well-being. Case studies highlight successful cobot implementations in automotive, assembly, and logistics industries, underscoring their role in fostering productivity and creating safer, more ergonomic work environments. By addressing both technical and ergonomic dimensions, this research provides a comprehensive overview of HRC's current state and future directions, offering insights into how cobots can harmoniously integrate human ingenuity with robotic efficiency for sustainable industrial progress.