Ramin Bahadori

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Dr Ramin Bahadori BSc, MSc, PhD, PGDAP, FHEA

Senior Lecturer


Dr Ramin Bahadori earned his BSc degree in Industrial Management, MSc in Logistics and Supply Chain Management and a PhD in Advanced Logistics and Supply Chain Management from Sheffield Hallam University.


His research interests and experience include the impact of the digital era on manufacturing systems and supply chain management,  technology readiness assessment in the context of Industry 4.0, the digital design of supply networks, smart and sustainable food supply chains, fractal supply networks and green vehicle routing problems.

Prior to being a Lecturer, Ramin worked as a research associate at Sheffield Hallam University, carrying out multi-discipline research projects directed by Prof. Sameh Saad. During this time, He had the chance to be engaged in some industrial/research projects. For instance, they successfully adapted and utilised a leading methodology to guide and justify investment in smart city's R&D projects to achieve the optimum project portfolio. The method is tested in a real case study, which shows how that methodology can effectively implement throughout the worldwide smart cities development to support strategic technology investments.

He has supervised a massive number of MSc research projects at different UK higher education institutions and acted as a referee for several prestigious international journals and conferences. 


MSc Logistics and Supply Chain Management

  • Supply Chain Modelling and Simulation
  • Project and Quality Management


Saad, S., Bahadori, R.,  Bhovar, C., & Zhang, H. (2023). Industry 4.0 and Lean Manufacturing - a systematic review of the state of the art literature and key recommendations for future research. International Journal of Lean Six Sigma.

Saad, S. M., Bahadori, R., & Jafarnejad, H. (2021). The smart SME technology readiness assessment methodology in the context of industry 4.0. Journal of Manufacturing Technology Management, 32(5), 1037-1065.

Saad, S. M., Bahadori, R., Jafarnejad, H., & Putra, M. F. (2021). Smart production planning and control: technology readiness assessment. Procedia computer science, 180, 618-627.

Saad, S., & Bahadori, R. (2020). Logistics capabilities measurement in the fractal supply network. International Journal of Logistics Systems and Management (IJLSM), 36 (2), 251-281. https://doi.org/10.1504/IJLSM.2020.107388.

Saad, S., & Bahadori, R. (2019). Development of a Dynamic Information Fractal Framework to Monitor and Optimise Sustainability in Food Distribution Network. International Journal of Food Engineering (IJEF). https://doi.org/10.1515/ijfe-2018-0061

Saad, S., & Bahadori, R. (2019). Introducing a unique inventory control framework for centralized VMI and JIT production. IFAC-PapersOnline, 52 (13), 1045-1050. https://doi.org/10.1016/j.ifacol.2019.11.333

Saad, S., & Bahadori, R. (2018). Development of an information fractal to optimise inventory in the supply network. International Journal of Service and Computing Oriented Manufacturing, 3 (2/3), 127-150. https://doi.org/10.1504/IJSCOM.2018.091620

Postgraduate supervision

Postgraduate supervision

Current PhD Supervision:
Jemimah Maina (PhD, Full-Time, Supervisor), Thesis: improving humanitarian performance in Kenya through supply chain coordination and blockchain technology.

Peter James Drakeley (PhD, Part-Time, Supervisor ), Thesis:  Design and develop a framework for embedding inventory optimisation into SMEs.

Samina Komal (PhD, Full-Time, Supervisor), Thesis: Determination and Applications of supply chain strategies and Practices in UK Textile.

Other external responsibilities 

Reviewer Membership
Journal of Manufacturing Technology Management
Supply Chain Management: An International Journal                          
International Journal of Production Research                                       
Flexible Automation and Intelligent Manufacturing International Conference (FAIM)
International Conference on Manufacturing Research ICMR
International Multidisciplinary Modeling & Simulation Multiconference (I3M)

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