Bahman Rostami Tabar

18 papers Journal 17Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Novel Hybrid Approach to Contraceptive Demand Forecasting: Integrating Point Predictions with Probabilistic Distributions.
CoRR
Harsha Chamara Hewage, Bahman Rostami Tabar, Aris A. Syntetos, Federico Liberatore, Glenn Milano
2025 J jnl
Forecasting interrupted time series.
J. Oper. Res. Soc.
Rob J. Hyndman, Bahman Rostami Tabar
2025 J jnl
Patient length of stay in trauma networks: Insights from advanced modelling.
Expert Syst. Appl.
Zihao Wang, Bahman Rostami Tabar, Jane Haider, Javvad Haider, Mohamed M. Naim
2025 J jnl
The missing puzzle piece: contextual insights for enhanced pharmaceutical supply chain forecasting.
Int. J. Prod. Res.
Arebu Issa Bilal, Bahman Rostami Tabar, Harsha Halgamuwe Hewage, Umit Sezer Bititci, Teferi Gedif Fenta
2024 J jnl
A hybrid LSTM method for forecasting demands of medical items in humanitarian operations.
Int. J. Prod. Res.
Marwa Hasni, M. Zied Babai, Bahman Rostami Tabar
2023 J jnl
Challenging the throwaway culture in hospitals: Scheduling the mix of reusable and Single-Use bronchoscopes.
J. Oper. Res. Soc.
Daniel Gartner, Joe Viana, Bahman Rostami Tabar, Dominik Pförringer, Günther Edenharter
2023 J jnl
Exploring the association between time series features and forecasting by temporal aggregation using machine learning.
Neurocomputing
Bahman Rostami Tabar, Dejan Mircetic
2023 J jnl
Forecasting for lead-time period by temporal aggregation: Whether to combine and how.
Comput. Ind.
Bahman Rostami Tabar, Thanos E. Goltsos, Shixuan Wang
2023 J jnl
Integrated demand forecasting and planning model for repairable spare part: an empirical investigation.
Int. J. Prod. Res.
Vahid Babaveisi, Ebrahim Teimoury, Mohammad Reza Gholamian, Bahman Rostami Tabar
2023 J jnl
The value of point of sales information in upstream supply chain forecasting: an empirical investigation.
Int. J. Prod. Res.
Mahdi Abolghasemi, Bahman Rostami Tabar, Aris A. Syntetos
2023 J jnl
To aggregate or not to aggregate: Forecasting of finite autocorrelated demand.
J. Oper. Res. Soc.
Bahman Rostami Tabar, M. Zied Babai, Aris A. Syntetos
2022 J jnl
Demand forecasting in supply chains: a review of aggregation and hierarchical approaches.
Int. J. Prod. Res.
M. Zied Babai, John E. Boylan, Bahman Rostami Tabar
2022 J jnl
Forecasting hierarchical time series in supply chains: an empirical investigation.
Int. J. Prod. Res.
Dejan Mircetic, Bahman Rostami Tabar, Svetlana Nikolicic, Marinko Maslaric
2021 J jnl
Forecasting COVID-19 daily cases using phone call data.
Appl. Soft Comput.
Bahman Rostami Tabar, Juan F. Rendon-Sanchez
2020 J jnl
Forecasting COVID-19 daily cases using phone call data.
CoRR
Bahman Rostami Tabar, Juan F. Rendon-Sanchez
2020 J jnl
Forecasting for Social Good.
CoRR
Bahman Rostami Tabar, Mohammad M. Ali, Tao Hong, Rob J. Hyndman, Michael D. Porter, Aris A. Syntetos
2019 J jnl
The impact of temporal aggregation on supply chains with ARMA(1, 1) demand processes.
Eur. J. Oper. Res.
Bahman Rostami Tabar, M. Zied Babai, Mohammad Ali, John E. Boylan
2013 — conf
The Impact of Temporal Aggregation on Demand Forecasting of ARMA(1, 1) Process: Theoretical Analysis.
MIM
Bahman Rostami Tabar, M. Zied Babai, Aris A. Syntetos, Yves Ducq