Bahman Rostami Tabar

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 13

Top Topics

Demand Forecasting

Temporal Aggregation

Top Venues

Int. J. Prod. Res.

J. Oper. Res. Soc.

Appl. Soft Comput.

Publications

Marwa Hasni, M. Zied Babai, Bahman Rostami Tabar
A hybrid LSTM method for forecasting demands of medical items in humanitarian operations. Int. J. Prod. Res. 62 (17) (2024)
Vahid Babaveisi, Ebrahim Teimoury, Mohammad Reza Gholamian, Bahman Rostami Tabar
Integrated demand forecasting and planning model for repairable spare part: an empirical investigation. Int. J. Prod. Res. 61 (20) (2023)
Bahman Rostami Tabar, Thanos E. Goltsos, Shixuan Wang
Forecasting for lead-time period by temporal aggregation: Whether to combine and how. Comput. Ind. 145 (2023)
Mahdi Abolghasemi, Bahman Rostami Tabar, Aris A. Syntetos
The value of point of sales information in upstream supply chain forecasting: an empirical investigation. Int. J. Prod. Res. 61 (7) (2023)
Daniel Gartner, Joe Viana, Bahman Rostami Tabar, Dominik Pförringer, Günther Edenharter
Challenging the throwaway culture in hospitals: Scheduling the mix of reusable and Single-Use bronchoscopes. J. Oper. Res. Soc. 74 (10) (2023)
Bahman Rostami Tabar, M. Zied Babai, Aris A. Syntetos
To aggregate or not to aggregate: Forecasting of finite autocorrelated demand. J. Oper. Res. Soc. 74 (8) (2023)
Bahman Rostami Tabar, Dejan Mircetic
Exploring the association between time series features and forecasting by temporal aggregation using machine learning. Neurocomputing 548 (2023)
Dejan Mircetic, Bahman Rostami Tabar, Svetlana Nikolicic, Marinko Maslaric
Forecasting hierarchical time series in supply chains: an empirical investigation. Int. J. Prod. Res. 60 (8) (2022)
M. Zied Babai, John E. Boylan, Bahman Rostami Tabar
Demand forecasting in supply chains: a review of aggregation and hierarchical approaches. Int. J. Prod. Res. 60 (1) (2022)
Bahman Rostami Tabar, Juan F. Rendon-Sanchez
Forecasting COVID-19 daily cases using phone call data. Appl. Soft Comput. 100 (2021)
Bahman Rostami Tabar, Juan F. Rendon-Sanchez
Forecasting COVID-19 daily cases using phone call data. CoRR (2020)
Bahman Rostami Tabar, Mohammad M. Ali, Tao Hong, Rob J. Hyndman, Michael D. Porter, Aris A. Syntetos
Forecasting for Social Good. CoRR (2020)
Bahman Rostami Tabar, M. Zied Babai, Mohammad Ali, John E. Boylan
The impact of temporal aggregation on supply chains with ARMA(1, 1) demand processes. Eur. J. Oper. Res. 273 (3) (2019)
Bahman Rostami Tabar, M. Zied Babai, Aris A. Syntetos, Yves Ducq
The Impact of Temporal Aggregation on Demand Forecasting of ARMA(1, 1) Process: Theoretical Analysis. MIM (2013)