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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 150 publications including 28 books and has published in high ranking journals such as IJOPM, JORS, Simulation, Technovation, Computers in Industry and Simulation Modelling Practice and Theory. He 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 (Derby, Aston, Warwick, Birmingham), Europe (CERAM-Sophia Antipolis (France), Keckesmet Institute (Hungary), Mediterranean College (Greece)) and Africa (Zimbabwe Institute of Management, Malawi Institute of Management). 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 2900 (google scholar)

Authored books include:

Business Information Systems, (authored with Paul Bocij and Simon Hickie) 6th Edition, published by Pearson Eductaion Limited.

From its first edition in 1999, the book became one of the most popular academic texts in the UK and was used by the majority of UK Universities as a core or recommended text.  I am currently working on a 7th Edition with Paul Bocij.

Operations Management (sole author), 3rd Edition, published by Wiley.

From its first edition in 2006, this book has been popular in providing a clear and concise guide to operations management. A new edition, Operations Management Analytics will be published by Routledge Ltd. in June 2025.

Simulation Modelling: Concepts, Tools and Practical Business Applications published by Routledge.

This book reflects my background in simulation modelling consultancy and my teaching in simulation across a number of institutions over the last 30 years.

2 other books that are not text books are:

Simulating Business Processes for Descriptive, Predictive and Prescriptive Analytics, published by De Gruyter.

This book is aimed at simulation practictioners in the USA and India market and provides an number of industrial case studies of the use of simulation modelling.

Operations Management: Sage Course Companion published by Sage Publications.

This book was written for my students in operations management over the years and provides an overview of the topic and tips for undertaking exams and assignments.

Discrete-Event Simulation Modelling

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

Hybrid Modelling (combined use of Simulation and Machine Learning)

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.

Editorial Board

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