Cardiff School of Management>Staff Profiles>Dr Mohammad Humyun Fuad RAHMAN

Dr Mohammad Humyun Fuad RAHMAN

Department: Business, Management and Law

Office/Location: 02.41B, Ogmore Building, Cardiff School of Management, Llandaff Campus

Telephone: +447708185721

Email: frahman@cardiffmet.ac.uk

Staff Overview

Dr Mohammad Humyun Fuad RAHMAN is the Lecturer in Operations and Supply Chain Management at Cardiff School of Management. Fuad has obtained in Ph.D. degree in Computer Science (focus: Operations Research) from the University of New South Wales (UNSW), Australia. His research interest includes project and supply chain management. More specifically, he is interested in managing risks, uncertainty, and disruptions in managing sustainable supply chains and projects by mathematical models and optimization. Fuad’s research also includes intelligent decision-making for business, modelling and simulation, and applied operations research. His research focused on concurrent issues, for example, he worked on developing models and solutions for vaccine supply chains to mitigate the COVID-19 pandemic considering different uncertainties and interruptions. He has also developed models on how to make manufacturing systems more sustainable.

His latest research publications can be found in the following Google scholar link: scholar.google.com/citations

Fuad has published many articles in top-tier journals and conferences including the OMEGA-The International Journal of Management Science, European Journal of Operational Research, Expert Systems with Applications, Computers and Industrial Engineering, and Automation in Construction, among many others. He has served as a guest editor and active reviewer of many reputed journals.

Before joining Cardiff Met University as a lecturer, Fuad served as an academic staff at the University of UNSW, Australia, and before that, at the Aalborg University (AAU), Denmark. While working at AAU, he collaborated with Airbus Defence and Space industry in a research project to develop intelligent planning and scheduling systems for material handling systems by using unmanned aerial vehicles in uncertain environments.

Teaching

Postgraduate Modules:

  • Production and Operations Management

Undergraduate Modules:

  • Operations Management
  • International Logistics

Supervision:

  • Managing and Controlling Supply Chain Integrated Projects under dynamic environments (Ph.D. program, SEIT, UNSW, Canberra, Australia).
  • Network design and routing for sustainable Logistic systems (Co-supervision) (Ph.D. program, SEIT, UNSW, Canberra, Australia).

Research

Key research areas:

  • Decision making in supply chains (e.g., inventory and logistic management, material handling, routing, network design).
  • Manufacturing systems optimization (e.g., job-machine scheduling, assembly line balancing).
  • Project planning and control (e.g., resource constrained project scheduling)
  • Workforce planning and scheduling.
  • Considering risk, uncertainty, and disruptions in decision making
  • Considering three pillars of Sustainability

Key Publications

[1] H. F. Rahman, R. K. Chakrabortty, S. K. Paul, and S. El Sawah, “Optimizing vaccines supply chains to mitigate the COVID-19 pandemic,” International Journal of Systems Science: Operations & Logistics, 2022, 1-33.

[2] M.M. Bassiounia, R. K. Chakrabortty, O.K. Hussain, and H. F. Rahman, “Advanced Deep Learning Approaches to Predict Supply Chain Risks Under COVID-19 Restrictions,” Expert Systems with Applications, vol. 193, 1 May 2022, 116446.

[3] H. F. Rahman, R. K. Chakrabortty, S. El Sawah, and M. J. Ryan, “Energy-Efficient Project Scheduling with Supplier Selection in Manufacturing Projects,” Expert Systems with Applications, vol. 193, 1 May 2022, 116446.

[4] M. Asadujjaman, H. F. Rahman, R. K. Chakrabortty, and M. J. Ryan, “Multi-operator Immune Genetic Algorithm for Project Scheduling with Discounted Cash Flows,” Expert Systems with Applications, 2022, vol. 195, 116589.

[5] H. F. Rahman, R. K. Chakrabortty, and M. J. Ryan, "Scheduling project with stochastic durations and time-varying resource requests: A metaheuristic approach," Computers & Industrial Engineering, p. 107363, 2021.

[6] H. F. Rahman, M. N. Janardhanan, L. P. Chuen, and S. Ponnambalam, "Flowshop scheduling with sequence dependent setup times and batch delivery in supply chain," Computers & Industrial Engineering, p. 107378, 2021.

[7] W. Chen, X. Gong, H. F. Rahman, H. Liu, E. Qi, “Real-time Order Acceptance and Scheduling for Data-enabled Permutation Flow Shops: Bilevel Interactive Optimization with Nonlinear Integer Programming,” OMEGA, vol. 105, 102499, 2021.

[8] M. Asadujjaman, H. F. Rahman, R. K. Chakrabortty, and M. J. Ryan, “Resource Constrained Project Scheduling and Material Ordering Problem with Discounted Cash Flows,” Computers & Industrial Engineering.

[9] R. K. Chakrabortty, H. F. Rahman, K. M. Haque, S. K. Paul, and M. J. Ryan, "An event-based reactive scheduling approach for the Resource Constrained Project Scheduling Problem with unreliable resources," Computers & Industrial Engineering, vol. 151, p. 106981, 2021.

[10] Z. Li, M. N. Janardhanan, and H. F. Rahman, "Enhanced beam search heuristic for U-shaped assembly line balancing problems," Engineering Optimization, vol. 53, no. 4, pp. 594-608, 2021.

[11] R. K. Chakrabortty, H. F. Rahman, and M. J. Ryan, "Efficient priority rules for project scheduling under dynamic environments: A heuristic approach," Computers & Industrial Engineering, vol. 140, p. 106287, 2020.

[12] H. F. Rahman, M. N. Janardhanan, and P. Nielsen, "An integrated approach for line balancing and AGV scheduling towards smart assembly systems," Assembly Automation, 2020.

[13] H. F. Rahman, R. K. Chakrabortty, and M. J. Ryan, "Memetic algorithm for solving resource constrained project scheduling problems," Automation in Construction, vol. 111, p. 103052, 2020.

[14] H. F. Rahman and I. Nielsen, "Scheduling automated transport vehicles for material distribution systems," Applied Soft Computing, vol. 82, p. 105552, 2019.

[15] H. F. Rahman, R. Sarker, and D. Essam, "A genetic algorithm for permutation flow shop scheduling under make to stock production system," Computers & Industrial Engineering, vol. 90, pp. 12-24, 2015. [16] H. F. Rahman, R. Sarker, and D. Essam, "A real-time order acceptance and scheduling approach for permutation flow shop problems," European Journal of Operational Research, vol. 247, no. 2, pp. 488-503, 2015.

Other Projects and activities

Interested In the following area of Supervision:

  • Optimized decision making in Sustainable Logistics and Supply chains.
  • Transportation planning (e.g., routing).
  • Workforce planning and scheduling.
  • Project planning (scheduling) and control (considering interruptions, uncertainties and risks), manufacturing systems optimization (e.g., assembly line balancing and production scheduling).
  • Others: Decision making problems in the area of operations management (not listed above) by using mathematical programming, computational intelligence, and machine learning algorithms.

External Links

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