Bahman Rostami-Tabar
Bahman Rostami-Tabar
Associate Professor, Cardiff University
Verifierad e-postadress på cardiff.ac.uk
Titel
Citeras av
Citeras av
År
Demand forecasting by temporal aggregation
B Rostami‐Tabar, MZ Babai, A Syntetos, Y Ducq
Naval Research Logistics (NRL) 60 (6), 479-498, 2013
572013
Demand forecasting by temporal aggregation: Using optimal or multiple aggregation levels?
N Kourentzes, B Rostami-Tabar, DK Barrow
Journal of Business Research 78, 1-9, 2017
272017
Neural network approach to lumpy demand forecasting for spare parts in process industries
MR Amin-Naseri, BR Tabar
2008 International Conference on Computer and Communication Engineering …, 2008
272008
A hybrid neural network and traditional approach for forecasting lumpy demand
A Nasiri Pour, B Rostami-Tabar, A Rahimzadeh
Proceedings of the World Academy of Science, Engineering and Technology 2 (4), 2008
242008
A novel ranking procedure for forecasting approaches using Data Envelopment Analysis
A Emrouznejad, B Rostami-Tabar, K Petridis
Technological Forecasting and Social Change 111, 235-243, 2016
222016
Non-stationary demand forecasting by cross-sectional aggregation
B Rostami-Tabar, MZ Babai, Y Ducq, A Syntetos
International Journal of Production Economics 170, 297-309, 2015
192015
A note on the forecast performance of temporal aggregation
ASYD Bahman Rostami-Tabar, Mohamed Zied Babai
Naval Research Logistics (NRL), 2014
152014
The impact of temporal aggregation on supply chains with ARMA (1, 1) demand processes
B Rostami-Tabar, MZ Babai, M Ali, JE Boylan
European Journal of Operational Research 273 (3), 920-932, 2019
92019
Forecasting: theory and practice
F Petropoulos, D Apiletti, V Assimakopoulos, MZ Babai, DK Barrow, ...
arXiv preprint arXiv:2012.03854, 2020
42020
Forecasting COVID-19 daily cases using phone call data
B Rostami-Tabar, JF Rendon-Sanchez
Applied soft computing 100, 106932, 2021
32021
Anticipating special events in Emergency Department forecasting
B Rostami-Tabar, F Ziel
International Journal of Forecasting, 2020
32020
ARIMA demand forecasting by aggregation
BR Tabar
Université Sciences et Technologies-Bordeaux I, 2013
3*2013
Forecasting aggregate ARMA (1, 1) demands: Theoretical analysis of top-down versus bottom-up
B Rostami-Tabar, MZ Babai, AA Syntetos, Y Ducq
Proceedings of 2013 International Conference on Industrial Engineering and …, 2013
32013
FORECASTING AUTOREGRESSIVE DEMANDS WITH TEMPORAL AGGREGATION
BR Tabar, Y Ducq, MZ Babai, A Syntetos
9th International Conference on Modeling, Optimization & SIMulation, 2012
12012
Business forecasting in developing countries
B Rostami-Tabar
Business Forecasting: The Emerging Role of Artificial Intelligence and …, 2021
2021
Forecasting for social good
B Rostami-Tabar, MM Ali, T Hong, RJ Hyndman, MD Porter, A Syntetos
International Journal of Forecasting, 2021
2021
To aggregate or not to aggregate: Forecasting of finite autocorrelated demand
B Rostami-Tabar, MZ Babai, A Syntetos
arXiv preprint arXiv:2103.16310, 2021
2021
Forecasting hierarchical time series in supply chains: an empirical investigation
D Mircetic, B Rostami-Tabar, S Nikolicic, M Maslaric
International Journal of Production Research, 1-20, 2021
2021
The bullwhip effect under count time series: The case of first order integer auto-regressive demand processes
B Rostami-Tabar, SM Disney
IEOM Society, 2017
2017
The impact of temporal aggregation on production and inventory costs
B Rostami-Tabar, SM Disney
2017
Systemet kan inte utföra åtgärden just nu. Försök igen senare.
Artiklar 1–20