Dr BASEM ELSHAFEI's Outputs (10)

Semantic Modelling of a Manufacturing Value Chain: Disruption Response Planning (2024)
Journal Article
Elshafei, B., Martínez-Arellano, G., Chaplin, J. C., & Ratchev, S. (2024). Semantic Modelling of a Manufacturing Value Chain: Disruption Response Planning. IFAC-PapersOnLine, 58(19), 789-794. https://doi.org/10.1016/j.ifacol.2024.09.202

Supply chains have been profoundly impacted by recent global disruptions, resulting in widespread shortages of parts, goods, and raw materials, significantly affecting the manufacturing sector to the extent of halting production lin... Read More about Semantic Modelling of a Manufacturing Value Chain: Disruption Response Planning.

Enhanced offshore wind resource assessment using hybrid data fusion and numerical models (2024)
Journal Article
Elshafei, B., Popov, A., & Giddings, D. (2024). Enhanced offshore wind resource assessment using hybrid data fusion and numerical models. Energy, 310, Article 133208. https://doi.org/10.1016/j.energy.2024.133208

Wind resource assessments are crucial for pre-construction planning of wind farms, especially offshore. This study proposes a novel hybrid model integrating Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) and Empirical Wa... Read More about Enhanced offshore wind resource assessment using hybrid data fusion and numerical models.

Semantic Knowledge Representation in Asset Administration Shells: Empowering Manufacturing Utilization (2024)
Presentation / Conference Contribution
Elshafei, B., Martínez-Arellano, G., Chaplin, J. C., Sanderson, D., & Ratchev, S. (2024, June). Semantic Knowledge Representation in Asset Administration Shells: Empowering Manufacturing Utilization. Paper presented at 33rd International Conference on Flexible Automation and Intelligent Manufacturing (FAIM 2024), Taiwan, Taichung

Within the context of Industry 4.0 and the Reference Architecture Model Industrie 4.0, the Asset Administration Shell (AAS) framework has emerged as a critical component for implementing Digital Twins that facilitate a seamless data exchange within a... Read More about Semantic Knowledge Representation in Asset Administration Shells: Empowering Manufacturing Utilization.

Enabling Coordinated Elastic Responses of Manufacturing Systems through Semantic Modelling (2023)
Presentation / Conference Contribution
Martínez-Arellano, G., Niewiadomski, K., Mo, F., Elshafei, B., Chaplin, J. C., Mcfarlane, D., & Ratchev, S. (2023, July). Enabling Coordinated Elastic Responses of Manufacturing Systems through Semantic Modelling. Presented at IFAC World Congress 2023: The 22nd World Congress of the International Federation of Automatic Control, Yokohama, Japan

Resilience to supply chain disruptions and to changing product volumes and specifications are currently major challenges for the manufacturing sector. To maintain quality and productivity, manufacturers need to be able to respond to disruption using... Read More about Enabling Coordinated Elastic Responses of Manufacturing Systems through Semantic Modelling.

Investigating multi-level ontology to support manufacturing during demand fluctuation (2023)
Presentation / Conference Contribution
Kazantsev, N., Niewiadomski, K., Martínez-Arellano, G., Elshafei, B., Mo, F., & Murthy, S. R. (2023, September). Investigating multi-level ontology to support manufacturing during demand fluctuation. Presented at Low-Cost Digital Solutions for Industrial Automation (LoDiSA 2023), Cambridge, UK

Responding to demand fluctuations represents a challenge for manufacturers, as they often face resource limitations and cannot assess all potential solutions. This paper presents a low-cost semantic engineering solution (ontology) to coordinate poten... Read More about Investigating multi-level ontology to support manufacturing during demand fluctuation.

Efficient decision-making in SMEs: leveraging knowledge graphs with Neo4j and AI vision (2023)
Presentation / Conference Contribution
Mo, F., Ur Rehman, H. U., Elshafei, B., Chaplin, J. C., Sanderson, D., Martínez-Arellano, G., & Ratchev, S. (2023, September). Efficient decision-making in SMEs: leveraging knowledge graphs with Neo4j and AI vision. Presented at Low-Cost Digital Solutions for Industrial Automation (LoDiSA 2023), Cambridge, UK

In the evolving digital landscape, Small and Medium-sized Enterprises (SMEs) grapple with the intricate task of managing vast manufacturing data while operating within budgetary constraints. Addressing this dichotomy, our research introduces an innov... Read More about Efficient decision-making in SMEs: leveraging knowledge graphs with Neo4j and AI vision.

Elastic manufacturing systems: A system view on operations, firm, and supply chain resilience (2023)
Presentation / Conference Contribution
Kazantsev, N., Niewiadomski, K., El-Shafei, B., Murthy, S. R., Chaplin, J., Martínez-Arellano, G., Ratchev, S., Velu, C., Mcfarlane, D., & Minshall, T. (2023, July). Elastic manufacturing systems: A system view on operations, firm, and supply chain resilience. Presented at 30th EurOMA Conference, Leuven, Belgium

'Black swan' events-such as military conflicts, pandemics, and semiconductor crises-drastically change product volume and mix patterns and shorten how long manufacturers have to cost-effectively respond to them. This is a particular challenge for hig... Read More about Elastic manufacturing systems: A system view on operations, firm, and supply chain resilience.

Capacity Modelling and Measurement for Smart Elastic Manufacturing Systems (2023)
Presentation / Conference Contribution
Elshafei, B., Mo, F., Chaplin, J. C., Arellano, G. M., & Ratchev, S. Capacity Modelling and Measurement for Smart Elastic Manufacturing Systems. Presented at Aerotech 2023, Fort Worth, Texas, USA

Aerospace manufacturing is improving its productivity and growth by expanding its capacity for production by investing in new tools and more equipment to provide additional capacity and flexibility in the face of widespread supply disruptions and unp... Read More about Capacity Modelling and Measurement for Smart Elastic Manufacturing Systems.

Offshore wind resource assessment based on scarce spatio-temporal measurements using matrix factorization (2022)
Journal Article
Elshafei, B., Peña, A., Popov, A., Giddings, D., Ren, J., Xu, D., & Mao, X. (2023). Offshore wind resource assessment based on scarce spatio-temporal measurements using matrix factorization. Renewable Energy, 202, 1215-1225. https://doi.org/10.1016/j.renene.2022.12.006

In the pre-construction of wind farms, wind resource assessment is of paramount importance. Measurements by lidars are a source of high-fidelity data. However, they are expensive and sparse in space and time. Contrarily, Weather Research and Forecast... Read More about Offshore wind resource assessment based on scarce spatio-temporal measurements using matrix factorization.

A hybrid solution for offshore wind resource assessment from limited onshore measurements (2021)
Journal Article
Elshafei, B., Peña, A., Xu, D., Ren, J., Badger, J., Pimenta, F. M., Giddings, D., & Mao, X. (2021). A hybrid solution for offshore wind resource assessment from limited onshore measurements. Applied Energy, 298, Article 117245. https://doi.org/10.1016/j.apenergy.2021.117245

In wind resource assessments, which are critical to the pre-construction of wind farms, measurements by LiDARs or masts are a source of high-fidelity data, but are expensive and scarce in space and time, particularly for offshore sites. On the other... Read More about A hybrid solution for offshore wind resource assessment from limited onshore measurements.