Publications

Books

Year Title Authors
2023 Demand forecasting for executives and professionals Stephan Kolassa, Bahman Rostami-Tabar, and Enno Siemsen
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Working Papers (Under Review)

Year Title Authors Journal
2026 The value of forecast accuracy for emergency department staffing decisions Mingzhe Shi, Bahman Rostami-Tabar, and Daniel Gartner IEEE Transactions on Engineering Management
2026 Emergency department staffing policy: An integrated probabilistic forecasting and newsvendor solution Bahman Rostami-Tabar, Shixuan Wang, and Stephen Disney Computers in Industry
2026 Towards socially responsible forecasting: Identifying and typifying forecasting harms Bahman Rostami-Tabar, Travis Greene, Galit Shmueli, and Rob Hyndman International Journal of Forecasting
2026 Examining digital twins applications, challenges and benefits in healthcare: A systematic literature review Fatemeh Monshizadeh, Maneesh Kumar, and Bahman Rostami-Tabar IEEE Transactions on Engineering Management
2026 A novel hybrid approach to contraceptive demand forecasting: integrating point predictions with probabilistic distributions Harsha Chamara Hewage, Bahman Rostami-Tabar, Aris Syntetos, Federico Liberatore, and Glenn R. Milano Production and Operations Management
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Journal Articles

Year Title Authors Journal
2025 A systematic literature review of trauma systems: An operations management perspective Zihao Wang, Bahman Rostami-Tabar, Jane Haider, Mohamed Naim, and Javvad Haider Journal: Advances in Rehabilitation Science and Practice
2025 Looking for the crystal ball in unscheduled care: a systematic literature review of the forecasting process Mingzhe Shi, Bahman Rostami-Tabar, and Daniel Gartner Health Care Management Science
2025 The missing puzzle piece: contextual insights for enhanced pharmaceutical supply chain forecasting Arebu Issa Bilal, Bahman Rostami-Tabar, Harsha Halgamuwe Hewage, Umit Sezer Bititci, and Teferi Gedif Fenta International Journal of Production Research
2025 Forecasting interrupted time series Rob J. Hyndman and Bahman Rostami-Tabar Journal of the Operational Research Society
2025 A novel hybrid approach to contraceptive demand forecasting: integrating point predictions with probabilistic distributions Harsha Chamara Hewage, Bahman Rostami-Tabar, Aris Syntetos, Federico Liberatore, and Glenn R. Milano International Journal of Production Research
2025 A hybrid predictive and prescriptive modelling framework for long-term mental healthcare workforce planning Harsha Halgamuwe Hewage and Bahman Rostami-Tabar Journal of the Operational Research Society
2025 Patient length of stay in trauma networks: Insights from advanced modelling Zihao Wang, Bahman Rostami-Tabar, Jane Haider, Javvad Haider, and Mohamed Naim Expert Systems with Applications
2025 The role of technology in developing resilient supply chains: a systematic literature review during the COVID-19 pandemic and the disruptions of economic sanctions Birhanu Shanko Dura, Simon Peter Nadeem, Jose Arturo Garza-Reyes, Abebe Ejigu Alemu, Bahman Rostami-Tabar, Daniel Henao Zapata, and Andre Kreie Journal of Humanitarian Logistics and Supply Chain Management
2024 Probabilistic forecasting of daily COVID-19 admissions using machine learning Bahman Rostami-Tabar, Siddharth Arora, Juan F. Rendon-Sanchez, and Thanos E. Goltsos IMA Journal of Management Mathematics
2024 A hybrid LSTM method for forecasting demands of medical items in humanitarian operations Marwa Hasni, Mohamed Zied Babai, and Bahman Rostami-Tabar International Journal of Production Research
2024 Alliance or apathy? Forecasting’s role in achieving the UN sustainable development goals Bahman Rostami-Tabar and Mike Gilliland Foresight: The International Journal of Applied Forecasting
2024 Using simulation for long-term bed modelling in critical care Debbie Lentle, Victoria Sachser, Eduard Incze, Antuela Tako, Bahman Rostami-Tabar, Craig Spencer, and Jennifer Morgan Journal of Simulation
2024 Investigating length of stay patterns and its predictors in the South Wales Trauma Network Zihao Wang, Bahman Rostami-Tabar, Jane Haider, Mohamed Naim, and Javvad Haider Advances in Rehabilitation Science and Practice
2024 Hierarchical time series forecasting in emergency medical services Bahman Rostami-Tabar and Rob J. Hyndman Journal of Service Research
2023 Probabilistic forecasting of hourly emergency department arrivals Bahman Rostami-Tabar, Jethro Browell, and Ivan Svetunkov Health Systems
2023 On the order-up-to policy with intermittent integer demand and logically consistent forecasts Bahman Rostami-Tabar and Stephen M. Disney International Journal of Production Economics
2023 Forecasting for lead-time period by temporal aggregation: Whether to combine and how Bahman Rostami-Tabar, Thanos E. Goltsos, and Shixuan Wang Computers in Industry
2023 The value of point of sales information in upstream supply chain forecasting: an empirical investigation Mahdi Abolghasemi, Bahman Rostami-Tabar, and Aris Syntetos International Journal of Production Research
2023 Integrated demand forecasting and planning model for repairable spare part: an empirical investigation Vahid Babaveisi, Ebrahim Teimoury, Mohammad Reza Gholamian, and Bahman Rostami-Tabar International Journal of Production Research
2023 To aggregate or not to aggregate: Forecasting of finite autocorrelated demand Bahman Rostami-Tabar, Mohamed Zied Babai, and Aris Syntetos Journal of the Operational Research Society
2023 Challenging the throwaway culture in hospitals: Scheduling the mix of reusable and single-use bronchoscopes Daniel Gartner, Joe Viana, Bahman Rostami-Tabar, Dominik Pförringer, and Günther Edenharter Journal of the Operational Research Society
2023 Exploring the association between time series features and forecasting by temporal aggregation using machine learning Bahman Rostami-Tabar and Dejan Mircetic Neurocomputing
2022 Forecasting: theory and practice Fotios Petropoulos, Daniele Apiletti, Vassilios Assimakopoulos, Mohamed Zied Babai, Devon K. Barrow, Souhaib Ben Taieb, Christoph Bergmeir, Ricardo J. Bessa, Jakub Bijak, John E. Boylan, et al. International Journal of Forecasting
2021 Forecasting for social good Bahman Rostami-Tabar, Mohammad M. Ali, Tao Hong, Rob J. Hyndman, Michael D. Porter, and Aris Syntetos International Journal of Forecasting
2021 Forecasting hierarchical time series in supply chains: an empirical investigation Dejan Mircetic, Bahman Rostami-Tabar, Svetlana Nikolicic, and Marinko Maslaric International Journal of Production Research
2021 Forecasting COVID-19 daily cases using phone call data Bahman Rostami-Tabar and Juan F. Rendon-Sanchez Applied Soft Computing
2021 Demand forecasting in supply chains: a review of aggregation and hierarchical approaches Mohamed Zied Babai, John E. Boylan, and Bahman Rostami-Tabar International Journal of Production Research
2020 Anticipating special events in emergency department forecasting Bahman Rostami-Tabar and Florian Ziel International Journal of Forecasting
2019 The impact of temporal aggregation on supply chains with ARMA (1,1) demand processes Bahman Rostami-Tabar, Mohamed Zied Babai, Mohammad Ali, and John E. Boylan European Journal of Operational Research
2017 Demand forecasting by temporal aggregation: Using optimal or multiple aggregation levels? Nikolaos Kourentzes, Bahman Rostami-Tabar, and Devon K. Barrow Journal of Business Research
2016 A novel ranking procedure for forecasting approaches using Data Envelopment Analysis Ali Emrouznejad, Bahman Rostami-Tabar, and Konstantinos Petridis Technological Forecasting and Social Change
2015 Non-stationary demand forecasting by cross-sectional aggregation Bahman Rostami-Tabar, Mohamed Zied Babai, Yves Ducq, and Aris Syntetos International Journal of Production Economics
2014 A note on the forecast performance of temporal aggregation Bahman Rostami-Tabar, Mohamed Zied Babai, Aris Syntetos, and Yves Ducq Naval Research Logistics
2013 Demand forecasting by temporal aggregation Bahman Rostami-Tabar, Mohamed Zied Babai, Aris Syntetos, and Yves Ducq Naval Research Logistics
2008 Neural network approach to lumpy demand forecasting for spare parts in process industries Mohammad Reza Amin-Naseri and B. Rostami Tabar 2008 International Conference on Computer and Communication Engineering
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Book Chapters

Year Title Authors Book
2022 Forecasting and its beneficiaries Bahman Rostami-Tabar, and John E. Boylan
2021 Business forecasting in developing countries Bahman Rostami-Tabar
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Conference Proceedings

Year Title Authors
2015 The impact of advance demand information on the performance of production/inventory systems Bahman Rostami-Tabar and Evren Sahin
2013 Forecasting aggregate ARMA (1,1) demands: Theoretical analysis of top-down versus bottom-up Bahman Rostami-Tabar, Mohamed Zied Babai, Aris A. Syntetos, and Yves Ducq
2013 The impact of temporal aggregation on demand forecasting of ARMA(1,1) process: Theoretical analysis Bahman Rostami Tabar, Mohamed Zied Babai, Aris Syntetos, and Yves Ducq
2012 Forecasting autoregressive demands with temporal aggregation Bahman Rostami Tabar, Yves Ducq, Mohamed Zied Babai, and Aris Syntetos
2008 A hybrid neural network and traditional approach for forecasting lumpy demand Ali Nasiri Pour, Bahman Rostami-Tabar, and Ayoub Rahimzadeh
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PhD Thesis

Year Title Authors
2014 ARIMA demand forecasting by aggregation Bahman Rostami-Tabar
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