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OR58 Stream - Forecasting

Stream Organiser

Devon Barrow
(more information)


Bahman Rostami-Tabar
(more information)



Stream Definition

Forecasting is at the heart of decision making in Operational Research. It forms the basis for planning and control activities, from the strategic to the operational level. It drives decision making on products and services, and is a critical input to finance, marketing, logistics and production, across sectors from business to government. As a research discipline, it therefore crosses multiple fields of research, drawing on mathematics, management, information sciences, behavioural sciences, social sciences, engineering, and other fields.
This stream attempts to sample the plethora of methodological approaches and application areas, relevant both from an academic and a practitioner perspective.
Topics of interest for the OR56 stream include but are not limited to:

  • Forecasting principles
  • Forecasting competitions
  • Time series forecasting methods
  • Econometric/causal models
  • Judgemental forecasting
  • Forecasting for Logistics and Supply Chain Management


Devon Barrow

Dr. Devon K. Barrow is currently a Senior Lecturer at Coventry Business School and Visiting Researcher at the Lancaster Centre for Forecasting. With a career beginning as a consultant at PricewaterhouseCoopers, he has amassed over 10 years’ experience developing solutions in Business and IT, with the past 6 years dedicated to forecasting research, teaching and application. Most recently he has worked on forecasting projects in retail, energy and call centre forecasting with industry leaders, and delivered academic and practitioner training courses in forecasting. He regularly presents at leading international forecasting and machine learning conferences and has amassed several scientific publications, focusing on the application of forecast combination (and selection) with statistical methods and artificial neural network. He is also currently leading a funded project on education and pedagogical design in the teaching of forecasting towards improving our understanding of how individuals learn to forecast and how better forecast performance can be facilitated.

Bahman Rostami-Tabar

Dr. Bahman Rostami-Tabar is a Lecturer in the School of Strategy and Leadership at Coventry University in the UK. His research interests include forecasting, data aggregation, inventory management and information sharing. His publications have appeared in leading journals such as Naval Research Logistic and International Journal of Production Economics. He regularly presents at leading international conferences such as IFAC, POMs and IJF focusing on the impact of data aggregation on forecasting and the use of information sharing in production/inventory systems. In 2013, Bahman received the MIM best paper award (IFAC) and was also successful in Campus France Scholarship award (2009-2013).


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