![Bahman Rostami-Tabar](https://profiles-cardiff.imgix.net/attachments/4044?w=200&h=200&auto=format&crop=faces&fit=crop&q=90")
Dr Bahman Rostami-Tabar
(Translated he/him)
Darllenydd mewn Gwyddor Penderfyniad a Yrrir gan Ddata
- Rostami-TabarB@caerdydd.ac.uk
- +44 29208 70723
- Adeilad Aberconwy, Ystafell C08, Rhodfa Colum, Cathays, Caerdydd, CF10 3EU
- Ar gael fel goruchwyliwr ôl-raddedig
Trosolwyg
Mae Bahman yn Ddarllenydd (Athro Cyswllt) mewn Gwyddor Penderfyniad a Yrrir gan Ddata yn Ysgol Busnes Caerdydd, Prifysgol Caerdydd, y DU.
Bahman yw sylfaenydd a Chadeirydd mentrau Darogan er Daioni Cymdeithasol a noddir gan Sefydliad Rhyngwladol y Daroganwyr a chyfarwyddwr cyntaf y Lab Data er Budd Cymdeithasol yn Ysgol Busnes Caerdydd. Yn ei ymchwil, mae wedi bod yn datblygu a defnyddio offer a thechnegau dadansoddol i wella'r broses o wneud penderfyniadau mewn gweithrediadau gofal iechyd, y trydydd sector, a logisteg a chadwyni cyflenwi iechyd a dyngarol byd-eang. Mae wedi bod yn gweithio gyda nifer o sefydliadau gan gynnwys y Gwasanaeth Iechyd Gwladol (GIG), Ymddiriedolaethau Gwasanaeth Ambiwlans Cymru, Asiantaeth yr Unol Daleithiau dros Ddatblygiadau Rhyngwladol a John Snow, Inc.
Cyfeirir ei nodau ymchwil tuag at ddefnyddio offer a thechnegau Gwyddor Data a Rheoli i lywio'r broses o wneud penderfyniadau mewn rheoli gweithrediadau a chadwyni cyflenwi, ac o'r herwydd cyfrannu'n gadarnhaol at ddatblygiadau diwydiannol a chymdeithasol.
Mae gan Bahman Ph.D. mewn Peirianneg Cynhyrchu o Brifysgol Bordeaux, Ffrainc. Enillodd ei B.Sc. mewn Peirianneg Ddiwydiannol o Brifysgol Technoleg K.N.Toosi, Tehran, Iran, a'i M.Sc. Peirianneg Ddiwydiannol o Brifysgol Tarbiat Modares, Tehran.
Cyhoeddiad
2023
- Babaveisi, V., Teimoury, E., Gholamian, M. R. and Rostami-Tabar, B. 2023. Integrated demand forecasting and planning model for repairable spare part: an empirical investigation. International Journal of Production Research 61(20), pp. 6791-6807. (10.1080/00207543.2022.2137596)
- Rostami-Tabar, B. and Mircetic, D. 2023. Exploring the association between time series features and forecasting by temporal aggregation using machine learning. Neurocomputing 548, article number: 126376. (10.1016/j.neucom.2023.126376)
- Rostami-Tabar, B., Babai, Z. and Syntetos, A. 2023. To aggregate or not to aggregate: Forecasting of finite autocorrelated demand. Journal of the Operational Research Society 74(8), pp. 1840-1859. (10.1080/01605682.2022.2118631)
- Rostami-Tabar, B., Browell, J. and Svetunkov, I. 2023. Probabilistic forecasting of hourly Emergency Department arrivals. Health Systems (10.1080/20476965.2023.2200526)
- Rostami-Tabar, B., Arora, S., Rendon-Sanchez, J. F. and Goltsos, T. E. 2023. Probabilistic forecasting of daily COVID-19 admissions using machine learning. IMA Journal of Management Mathematics (10.1093/imaman/dpad009)
- Abolghasemi, M., Rostami-Tabar, B. and Syntetos, A. 2023. The value of point of sales information in upstream supply chain forecasting: an empirical investigation. International Journal of Production Research 61(7), pp. 2162-2177. (10.1080/00207543.2022.2063086)
- Rostami-Tabar, B. and Disney, S. 2023. On the order-up-to policy with intermittent integer demand and logically consistent forecasts. International Journal of Production Economics 257, article number: 108763. (10.1016/j.ijpe.2022.108763)
- Rostami-Tabar, B., Goltsos, T. E. and Shixuan, W. 2023. Forecasting for lead-time period by temporal aggregation: Whether to combine and how. Computers in Industry 145, article number: 103803. (10.1016/j.compind.2022.103803)
2022
- Rostami-Tabar, B., Hasni, M. and Babai, Z. 2022. On the inventory performance of demand forecasting methods of medical items in humanitarian operations. IFAC-PapersOnLine 55(10), pp. 2737-2742. (10.1016/j.ifacol.2022.10.132)
- Gartner, D., Viana, J., Rostami-Tabar, B., Pförringer, D. and Edenharter, G. 2022. Challenging the throwaway culture in hospitals: scheduling the mix of reusable and single-use bronchoscopes. Journal of the Operational Research Society (10.1080/01605682.2022.2129490)
- Rostami-Tabar, B. and Ziel, F. 2022. Anticipating special events in emergency department forecasting. International Journal of Forecasting 38(3), pp. 1197-1213. (10.1016/j.ijforecast.2020.01.001)
- Rostami-Tabar, B., Ali, M. M., Hong, T., Hyndman, R. J., Porter, M. D. and Syntetos, A. 2022. Forecasting for social good. International Journal of Forecasting 38(3), pp. 1245-1257. (10.1016/j.ijforecast.2021.02.010)
- Petropoulos, F. et al. 2022. Forecasting: theory and practice. International Journal of Forecasting 38(8), pp. 705-871. (10.1016/j.ijforecast.2021.11.001)
- Rostami-Tabar, B. and Boylan, J. 2022. Forecasting and its Beneficiaries. In: Salhi, S. and Boylan, J. eds. The Palgrave Handbook of Operations Research. Palgrave Macmillan, pp. 695-717., (10.1007/978-3-030-96935-6_21)
- Rostami-Tabar, B., Hong, T. and Porter, M. D. 2022. Guest Editorial: Forecasting for social good. International Journal of Forecasting 38(3), pp. 1173-1174.
- Mircetic, D., Rostami-Tabar, B., Nikolicic, S. and Maslaric, M. 2022. Forecasting hierarchical time series in supply chains: an empirical investigation. International Journal of Production Research 60(8), pp. 2514-2533. (10.1080/00207543.2021.1896817)
- Babai, M. Z., Boylan, J. E. and Rostami-Tabar, B. 2022. Demand forecasting in supply chains: a review of aggregation and hierarchical approaches. International Journal of Production Research 60(1), pp. 324-348. (10.1080/00207543.2021.2005268)
- Wang, Z., Rostami-Tabar, B., Haider, J. J. and Naim, M. 2022. A systematic literature review of trauma networks and systems: from operations management perspectives. Presented at: 12th European Decision Sciences Conference, Dublin, Ireland, 29 May – 1 June 2022.
2021
- Rostami-Tabar, B. 2021. Business forecasting in developing countries. In: Gilliland, M., Tashman, L. and Sglavo, U. eds. Business forecasting : the emerging role of artificial intelligence and machine learning. Wiley and SAS Business Series
- Rostami-Tabar, B. and Rendon-Sanchez, J. F. 2021. Forecasting COVID-19 daily cases using phone call data. Applied Soft Computing 100, article number: 106932. (10.1016/j.asoc.2020.106932)
2019
- Rostami-Tabar, B., Babai, M. Z., Ali, M. and Boylan, J. E. 2019. The impact of temporal aggregation on supply chains with ARMA(1,1) demand processes. European Journal of Operational Research 273(3), pp. 920-932. (10.1016/j.ejor.2018.09.010)
2017
- Kourentzes, N., Rostami-Tabar, B. and Barrow, D. K. 2017. Demand forecasting by temporal aggregation: Using optimal or multiple aggregation levels?. Journal of Business Research 78 (10.1016/j.jbusres.2017.04.016)
- Rostami-Tabar, B. and Disney, S. M. 2017. The bullwhip effect under count time series: The case of first order integer auto-regressive demand processes. Presented at: International Symposium on Industrial Engineering and Operations Management, Bristol, UK, 25-26 July 2017.
- Rostami-Tabar, B. and Disney, S. M. 2017. The impact of temporal aggregation on production and inventory costs. Presented at: OR59 Annual Conference, Loughborough, United Kingdom, 12-14 September 2017.
2016
- Emrouznejad, A., Rostami-Tabar, B. and Petridis, K. 2016. A novel ranking procedure for forecasting approaches using data envelopment analysis. Technological Forecasting and Social Change 111, pp. 235-243. (10.1016/j.techfore.2016.07.004)
2015
- Rostami-Tabar, B., Babai, M. Z., Ducq, Y. and Syntetos, A. 2015. Non-stationary demand forecasting by cross-sectional aggregation. International Journal of Production Economics 170(Part A), pp. 297-309. (10.1016/j.ijpe.2015.10.001)
2014
- Rostami-Tabar, B., Babai, M. Z., Syntetos, A. and Ducq, Y. 2014. A note on the forecast performance of temporal aggregation. Naval Research Logistics 61(7), pp. 489-500. (10.1002/nav.21598)
2013
- Rostami-Tabar, B., Babai, M. Z., Syntetos, A. and Ducq, Y. 2013. Demand forecasting by temporal aggregation. Naval Research Logistics 60(6), pp. 479-498. (10.1002/nav.21546)
2008
- Amin-Naseri, M. and Rostami-Tabar, B. 2008. Neural network approach to lumpy demand forecasting for spare parts in process industries. Presented at: International Conference on Computer and Communication Engineering, 13-15 May 20082008 International Conference on Computer and Communication Engineering Proceedings. IEEE pp. -., (10.1109/ICCCE.2008.4580831)
- Nasiri Pour, A., Rostami-Tabar, B. and Rahimzadeh, A. 2008. A hybrid neural network and traditional approach for forecasting lumpy demand. Proceedings of the World Academy of Science, Engineering and Technology 2(4)
Adrannau llyfrau
- Rostami-Tabar, B. and Boylan, J. 2022. Forecasting and its Beneficiaries. In: Salhi, S. and Boylan, J. eds. The Palgrave Handbook of Operations Research. Palgrave Macmillan, pp. 695-717., (10.1007/978-3-030-96935-6_21)
- Rostami-Tabar, B. 2021. Business forecasting in developing countries. In: Gilliland, M., Tashman, L. and Sglavo, U. eds. Business forecasting : the emerging role of artificial intelligence and machine learning. Wiley and SAS Business Series
Cynadleddau
- Wang, Z., Rostami-Tabar, B., Haider, J. J. and Naim, M. 2022. A systematic literature review of trauma networks and systems: from operations management perspectives. Presented at: 12th European Decision Sciences Conference, Dublin, Ireland, 29 May – 1 June 2022.
- Rostami-Tabar, B. and Disney, S. M. 2017. The bullwhip effect under count time series: The case of first order integer auto-regressive demand processes. Presented at: International Symposium on Industrial Engineering and Operations Management, Bristol, UK, 25-26 July 2017.
- Rostami-Tabar, B. and Disney, S. M. 2017. The impact of temporal aggregation on production and inventory costs. Presented at: OR59 Annual Conference, Loughborough, United Kingdom, 12-14 September 2017.
- Amin-Naseri, M. and Rostami-Tabar, B. 2008. Neural network approach to lumpy demand forecasting for spare parts in process industries. Presented at: International Conference on Computer and Communication Engineering, 13-15 May 20082008 International Conference on Computer and Communication Engineering Proceedings. IEEE pp. -., (10.1109/ICCCE.2008.4580831)
Erthyglau
- Babaveisi, V., Teimoury, E., Gholamian, M. R. and Rostami-Tabar, B. 2023. Integrated demand forecasting and planning model for repairable spare part: an empirical investigation. International Journal of Production Research 61(20), pp. 6791-6807. (10.1080/00207543.2022.2137596)
- Rostami-Tabar, B. and Mircetic, D. 2023. Exploring the association between time series features and forecasting by temporal aggregation using machine learning. Neurocomputing 548, article number: 126376. (10.1016/j.neucom.2023.126376)
- Rostami-Tabar, B., Babai, Z. and Syntetos, A. 2023. To aggregate or not to aggregate: Forecasting of finite autocorrelated demand. Journal of the Operational Research Society 74(8), pp. 1840-1859. (10.1080/01605682.2022.2118631)
- Rostami-Tabar, B., Browell, J. and Svetunkov, I. 2023. Probabilistic forecasting of hourly Emergency Department arrivals. Health Systems (10.1080/20476965.2023.2200526)
- Rostami-Tabar, B., Arora, S., Rendon-Sanchez, J. F. and Goltsos, T. E. 2023. Probabilistic forecasting of daily COVID-19 admissions using machine learning. IMA Journal of Management Mathematics (10.1093/imaman/dpad009)
- Abolghasemi, M., Rostami-Tabar, B. and Syntetos, A. 2023. The value of point of sales information in upstream supply chain forecasting: an empirical investigation. International Journal of Production Research 61(7), pp. 2162-2177. (10.1080/00207543.2022.2063086)
- Rostami-Tabar, B. and Disney, S. 2023. On the order-up-to policy with intermittent integer demand and logically consistent forecasts. International Journal of Production Economics 257, article number: 108763. (10.1016/j.ijpe.2022.108763)
- Rostami-Tabar, B., Goltsos, T. E. and Shixuan, W. 2023. Forecasting for lead-time period by temporal aggregation: Whether to combine and how. Computers in Industry 145, article number: 103803. (10.1016/j.compind.2022.103803)
- Rostami-Tabar, B., Hasni, M. and Babai, Z. 2022. On the inventory performance of demand forecasting methods of medical items in humanitarian operations. IFAC-PapersOnLine 55(10), pp. 2737-2742. (10.1016/j.ifacol.2022.10.132)
- Gartner, D., Viana, J., Rostami-Tabar, B., Pförringer, D. and Edenharter, G. 2022. Challenging the throwaway culture in hospitals: scheduling the mix of reusable and single-use bronchoscopes. Journal of the Operational Research Society (10.1080/01605682.2022.2129490)
- Rostami-Tabar, B. and Ziel, F. 2022. Anticipating special events in emergency department forecasting. International Journal of Forecasting 38(3), pp. 1197-1213. (10.1016/j.ijforecast.2020.01.001)
- Rostami-Tabar, B., Ali, M. M., Hong, T., Hyndman, R. J., Porter, M. D. and Syntetos, A. 2022. Forecasting for social good. International Journal of Forecasting 38(3), pp. 1245-1257. (10.1016/j.ijforecast.2021.02.010)
- Petropoulos, F. et al. 2022. Forecasting: theory and practice. International Journal of Forecasting 38(8), pp. 705-871. (10.1016/j.ijforecast.2021.11.001)
- Rostami-Tabar, B., Hong, T. and Porter, M. D. 2022. Guest Editorial: Forecasting for social good. International Journal of Forecasting 38(3), pp. 1173-1174.
- Mircetic, D., Rostami-Tabar, B., Nikolicic, S. and Maslaric, M. 2022. Forecasting hierarchical time series in supply chains: an empirical investigation. International Journal of Production Research 60(8), pp. 2514-2533. (10.1080/00207543.2021.1896817)
- Babai, M. Z., Boylan, J. E. and Rostami-Tabar, B. 2022. Demand forecasting in supply chains: a review of aggregation and hierarchical approaches. International Journal of Production Research 60(1), pp. 324-348. (10.1080/00207543.2021.2005268)
- Rostami-Tabar, B. and Rendon-Sanchez, J. F. 2021. Forecasting COVID-19 daily cases using phone call data. Applied Soft Computing 100, article number: 106932. (10.1016/j.asoc.2020.106932)
- Rostami-Tabar, B., Babai, M. Z., Ali, M. and Boylan, J. E. 2019. The impact of temporal aggregation on supply chains with ARMA(1,1) demand processes. European Journal of Operational Research 273(3), pp. 920-932. (10.1016/j.ejor.2018.09.010)
- Kourentzes, N., Rostami-Tabar, B. and Barrow, D. K. 2017. Demand forecasting by temporal aggregation: Using optimal or multiple aggregation levels?. Journal of Business Research 78 (10.1016/j.jbusres.2017.04.016)
- Emrouznejad, A., Rostami-Tabar, B. and Petridis, K. 2016. A novel ranking procedure for forecasting approaches using data envelopment analysis. Technological Forecasting and Social Change 111, pp. 235-243. (10.1016/j.techfore.2016.07.004)
- Rostami-Tabar, B., Babai, M. Z., Ducq, Y. and Syntetos, A. 2015. Non-stationary demand forecasting by cross-sectional aggregation. International Journal of Production Economics 170(Part A), pp. 297-309. (10.1016/j.ijpe.2015.10.001)
- Rostami-Tabar, B., Babai, M. Z., Syntetos, A. and Ducq, Y. 2014. A note on the forecast performance of temporal aggregation. Naval Research Logistics 61(7), pp. 489-500. (10.1002/nav.21598)
- Rostami-Tabar, B., Babai, M. Z., Syntetos, A. and Ducq, Y. 2013. Demand forecasting by temporal aggregation. Naval Research Logistics 60(6), pp. 479-498. (10.1002/nav.21546)
- Nasiri Pour, A., Rostami-Tabar, B. and Rahimzadeh, A. 2008. A hybrid neural network and traditional approach for forecasting lumpy demand. Proceedings of the World Academy of Science, Engineering and Technology 2(4)
- Kourentzes, N., Rostami-Tabar, B. and Barrow, D. K. 2017. Demand forecasting by temporal aggregation: Using optimal or multiple aggregation levels?. Journal of Business Research 78 (10.1016/j.jbusres.2017.04.016)
- Rostami-Tabar, B. and Disney, S. M. 2017. The bullwhip effect under count time series: The case of first order integer auto-regressive demand processes. Presented at: International Symposium on Industrial Engineering and Operations Management, Bristol, UK, 25-26 July 2017.
- Rostami-Tabar, B. and Disney, S. M. 2017. The impact of temporal aggregation on production and inventory costs. Presented at: OR59 Annual Conference, Loughborough, United Kingdom, 12-14 September 2017.
- Emrouznejad, A., Rostami-Tabar, B. and Petridis, K. 2016. A novel ranking procedure for forecasting approaches using data envelopment analysis. Technological Forecasting and Social Change 111, pp. 235-243. (10.1016/j.techfore.2016.07.004)
- Rostami-Tabar, B., Babai, M. Z., Ducq, Y. and Syntetos, A. 2015. Non-stationary demand forecasting by cross-sectional aggregation. International Journal of Production Economics 170(Part A), pp. 297-309. (10.1016/j.ijpe.2015.10.001)
- Rostami-Tabar, B., Babai, M. Z., Syntetos, A. and Ducq, Y. 2014. A note on the forecast performance of temporal aggregation. Naval Research Logistics 61(7), pp. 489-500. (10.1002/nav.21598)
- Rostami-Tabar, B., Babai, M. Z., Syntetos, A. and Ducq, Y. 2013. Demand forecasting by temporal aggregation. Naval Research Logistics 60(6), pp. 479-498. (10.1002/nav.21546)
Ymchwil
Ymchwil
Mae gen i ddiddordeb mewn datblygu methodolegau arloesol wrth ragfynegi ar gyfer goo cymdeithasol a pha mor ragweld, nawr castio a .
Prif ddiddordebau ymchwil
- Data Driven Rhagweld (yn seiliedig ar gynnwys, Machine Learning)
- Rhagweld Cyfres Amser
- Agregiad Hierarchaidd ac Amserol
- Rhagfynegiad er lles cymdeithasol
- Modelu rhagfynegol mewn gofal iechyd
- Rhagweld a Rheoli Rhestr mewn Shain Cyflenwi
- Rhagweld a gwneud penderfyniadau
Addysgu
Teaching commitments
- Operations Analytics
- Strategic Supply Chain Management
Bywgraffiad
Cymwysterau
- 2016 - Tystysgrif Ôl-raddedig mewn Dysgu ac Addysgu mewn Addysg Uwch, Prifysgol Coventry, UK
- 2014 - Ph.D., Peirianneg Cynhyrchu. Traethawd ymchwil o'r enw 'ARIMA Demand Forecasting by Aggregation', Prifysgol Bordeaux, Ffrainc
- 2010 - M.Sc., Systemau Gwybodaeth, ECE Paris, Ffrainc
- 2009 - Hyfedredd yn yr iaith Ffrangeg, Université de Poitiers , Ffrainc
- 2008 - M.Sc., Peirianneg Diwydiannol, Prifysgol Modares Tarbiat, Tehran, Iran
- 2002 - B.Sc., Peirianneg Ddiwydiannol, KN Toosi Uni. Technoleg Tehran, Iran (4 blynedd).
Anrhydeddau a dyfarniadau
- 2009 - 2013 Campus France Scholarship award
- 2013 MIM best paper award (IFAC)
- 2017 International Symposium on Industrial Engineering and Operations Management, Best Track Paper Award, Bristol, UK
Safleoedd academaidd blaenorol
- 2015 - 2016: Lecturer in Supply Chain Management, School of Strategy and Leadership, Coventry University, UK.
- 2013 - 2015: Postdoctoral Research Fellowship, Industrial Engineering Lab, Ecole Centrale Paris, France.
Meysydd goruchwyliaeth
PhD Supervision
I welcome enquiries from potential PhD students in the areas of supply chain forecasting and forecasting for social good(health, humanitarian, disaster, enviromental, education, ...) and Forecasting by aggregation.
Goruchwyliaeth gyfredol
Themâu ymchwil
Arbenigeddau
- Rhagweld Cyfres Amser
- Dysgu peirianyddol
- Gwyddor Penderfyniad a yrrir gan ddata
- Rhagfynegiad er lles cymdeithasol
- Cysoni Rhagolwg Hierarchaidd ac Amserol
