Research output per year
Research output per year
PhD, MSc, BSc(Hons), SFHEA, PGCertHE,
United Kingdom
Accepting PhD Students
PhD projects
I am interested in supervising PhD students who have an interest in investigating and solving real-life problems, including but not limited to Supply Chain Management, Productivity Improvement and Operations Performance, Inventory Planning and Control, Scheduling, Energy Management, including Demand Side Management, Capacity Management, Disruption Management and Resilience.
I would be particularly interested in those who are familiar with one or more than one quantitative technique such as Simulation, Optimisation, Heuristics Search algorithms, Metaheuristics, Mathematical Programming, Machine Learning, Business Computing and Applied Statistics.
I am also keen to supervise PhD students on the following topics, which are the recent trends of real-life challenges:
• Behavioural Decision Making in Manufacturing, Logistics, and Healthcare
• Renewable Energy Supply Chain and Demand Side Management
• Household Energy Consumption Optimisation
• Logistics and Transportation (including Drone) Optimisation
Dr Ammar Al-Bazi is a Senior Lecturer (Associate Professor equivalent) in Operations and Supply Chain Simulation at Aston Business School. He received a PhD in Simulation and Optimisation from Teesside University, UK and a master’s degree in Statistics and Operational Research from the University of Baghdad. He completed his BSc in Operational Research from Al-Mansour University College in Iraq.
He is a Senior Fellow of the Higher Education Academy (SFHEA), with a first-class BSc (Hons) in Operational Research and a PhD in Simulation and Optimisation. He has led a number of funded projects, including Knowledge Exchange & Enterprise Network (KEEN), partially funded by the European Regional Development Fund (ERDF) and two Knowledge Transfer Partnerships (KTPs), partially funded by Innovate UK.
Before joining Aston University, he was an Assistant Professor in Business Information Systems at the Faculty of Engineering, Environment and Computing, Coventry University, responsible for leading, developing and delivering specialised simulation modules over different programmes of studies. He was also seconded as a research associate at the Institute of Future Transport and Cities (IFTC) at the same University.
Al-Bazi is mainly interested in applying business simulation technology, optimisation techniques, digital technologies and AI to solve a wide range of real-life problems, including but not limited to Scheduling, Resource Selection and Allocation, Demand Forecasting, Inventory Control and Warehouse Management, Disruption and Risk Mitigation, Productivity Improvement, Transportation Selection and Management, Operation Performance and Capacity Management.
Undergraduate Modules:
Postgraduate Modules:
Previous Teaching Activity
Postgraduate Modules including Supply Chain Simulation and Optimisation, Simulation for Global Logistics, Logistics Business Simulation, Optimisation and Simulation, Advanced Manufacturing Simulation, Logistics Business Simulation, Air Transport Business Simulation, Digital Manufacturing Engineering, Teaching Methods, Manufacturing Simulation, Manufacturing Simulation.
Undergraduate Modules including Airline Operations Scheduling, Aviation and Logistics Simulation, Business Simulation, Manufacturing and Management Simulation.
As Main supervisor:
As Associate supervisor:
MPhil/PhD External Examiner
PhD Internal Examiner
Chair
Track/Stream Organiser
Technical Committee
External Examiner of Data Science, Anglia Ruskin University
24 Jun 2024 → 24 Jun 2028
Adjunct Professor (Associate), Sohar University, Oman
1 Apr 2024 → 1 Apr 2026
External PhD Supervisor, University of Wales Trinity Saint David
28 Mar 2023 → …
Guest Editor, Supply Chain Analytics | Journal | ScienceDirect.com by Elsevier
1 Mar 2023 → 1 Jul 2023
External Examiner of Logistics and Supply Chain Management, Lancaster University
1 Oct 2022 → 30 Sept 2027
MPhil External Examiner, Teesside University
2020 → 2021
PhD External Examiner, Friedrich-Alexander-Universität Erlangen-Nürnberg
2019 → 2020
Research output: Contribution to journal › Review article › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Chapter in Book/Published conference output › Conference publication
Research output: Chapter in Book/Published conference output › Conference publication