Contact Dr Fadi Assad
- Tel: +44 (0) 1234 75 8474
- Email: Fadi.Assad@cranfield.ac.uk
- ORCID
- ResearchGate
Areas of expertise
- Digital Twinning
- Energy and the Environment
- Industrial Automation
- Sustainable Manufacturing
Background
Dr Assad holds a PhD in Sustainable Intelligent Manufacturing from the University of Warwick (United Kingdom) following his MSc in Production Engineering and BSc in Industrial Engineering (Mechanical Engineering).
Research opportunities
- Manufacturing Systems Engineering: Manufacturing systems' development life cycle and the changes due to Industry 4.0 and Industry 5.0 revolutions.
* Intelligent Manufacturing: Embedding the elements of decision-making in modern manufacturing systems.
* Sustainable Manufacturing: Upgrading systems' capability to respond to sustainability requirements.
I currently have two open PhDs:
Sustainability-oriented Digital Lifecycle Management in Manufacturing-as-a-Service (MaaS) PhD
Utilisation of Generative Artificial Intelligence to Advance Manufacturing Sustainability PhD
Publications
Articles In Journals
- Assad F, Rushforth EJ & Harrison R. (2023). A component-based design approach for energy flexibility in cyber-physical manufacturing systems. Journal of Intelligent Manufacturing
- Konstantinov S, Hansen JDO, Assad F, Ahmad B, Vera DA, .... (2023). An analysis of the available virtual engineering tools for building manufacturing systems digital twin. Procedia CIRP, 116
- Konstantinov S, Assad F, Ahmad B, Vera DA & Harrison R. (2022). Virtual Engineering and Commissioning to Support the Lifecycle of a Manufacturing Assembly System. Machines, 10(10)
Conference Papers
- Titmarsh R, Assad F & Harrison R. (2022). Energy Saving in Lithium-Ion Battery Manufacturing through the Implementation of Predictive Maintenance
- Konstantinov S, Assad F, Azam W, Vera D, Ahmad B, .... (2021). Developing Web-based Digital Twin of Assembly Lines for Industrial Cyber-physical Systems
- Assad F, Konstantinov S, Ahmad MH, Rushforth EJ & Harrison R. (2021). Utilising Web-based Digital Twin to Promote Assembly Line Sustainability
- Assad F, Konstantinov S, Rushforth EJ, Vera DA & Harrison R. (2021). Virtual engineering in the support of sustainable assembly systems
- Assad F, Konstantinov S, Nureldin H, Waseem M, Rushforth E, .... (2021). Maintenance and digital health control in smart manufacturing based on condition monitoring
- Assad F, Konstantinov S, Rushforth EJ, Vera DA & Harrison R. (2020). A Literature Survey of Energy Sustainability in Learning Factories
- Titmarsh R, Assad F & Harrison R. (2020). Contributions of lean six sigma to sustainable manufacturing requirements: an Industry 4.0 perspective
- Assad F, Alkan B, Chinnathai MK, Ahmad MH, Rushforth EJ, .... (2019). A framework to predict energy related key performance indicators of manufacturing systems at early design phase
- Assad F, Rushforth E, Ahmad M, Ahmad B & Harrison R. (2018). An Approach of Optimising S-curve Trajectory for a Better Energy Consumption