Personal profile

Contact Details

Phone:+44(0)121 204 3110
Email: [email protected]
Room: NW320


Dr Andrew Greasley is a Lecturer in supply chain analytics and modelling at the Department of Engineering Systems and Supply Chain Management (ESSCM). He has extensive experience of the application of discrete-event simulation modelling in industry in the supply chain area including consultancy for ABB, Golden Wonder, Rolls Royce, Marks and Spencer and Warwickshire Police. His current research interests include the use of Hybrid Modelling (the combined use of discrete-event simulation and machine learning) and the use of a simulation methodology to test supply chain design resilience to external disruptions. He has over 140 publications including 28 books and has supervised to completion 6 PhD, DBA and MPhil students and is a member of the editorial board for the Journal of Manufacturing Technology Management. He has taught at a number of institutions in the UK, Europe and Africa and in 2023 he was recognised by the University of Warwick for his outstanding contribution to the postgraduate programmes by excellent teaching. 

h index 24, citations 2762 (google scholar)

Research Interests

Discrete-Event Simulation Modelling

Hybrid Simulation (combined use of DES, SD and ABS)

Hybrid Modelling (combined use of Simulation and Machine Learning)



Teaching Activity

LT2QTS Quantitative Tools for Supply Chain Planning (double module) (module leader)

LT2SMT Simulation Modelling for Transport (module leader)

DS2SCA Supply Chain Analytics (module leader)

LT3105 Supply Chain Planning (module leader)



Doctor of Philosophy (PhD) Simulation Modelling

Master of Business Administration (MBA)


Lecturer in Supply Chain Analytics and Modelling, School of Infrastructure and Sustainable Engineering, Aston University.

Professional/editorial offices

Editorial Board

Journal of Manufacturing Technology Management (ISSN: 1741-038x) 2016-present


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