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Yr Athro Bahman Rostami-Tabar
(e/fe)
- Ar gael fel goruchwyliwr ôl-raddedig
Timau a rolau for Bahman Rostami-Tabar
Athro Dadansoddeg a Gwyddorau Penderfyniad
Trosolwyg
Bahman yw'r Athro Dadansoddeg a Gwyddorau Penderfyniad yn Ysgol Busnes Caerdydd, Prifysgol Caerdydd, y DU. Mae ganddo ddiddordeb mewn trawsnewid data yn fewnwelediadau ar gyfer gwneud penderfyniadau gwell. Bahman yw sylfaenydd a chyfarwyddwr y Grŵp Labordy Data ar gyfer Ymchwil Da Cymdeithasol yn Ysgol Busnes Caerdydd a sylfaenydd a chadeirydd mentrau Darogan er Lles Cymdeithasol a noddir gan Sefydliad Rhyngwladol y Daroganwyr. Mae hefyd yn arwain thema "Ansicrwydd a'r Dyfodol" yn y Sefydliad Arloesi Trawsnewid Digidol.
Mae Bahman yn angerddol am ansicrwydd a'r dyfodol. Mae'n arbenigo mewn datblygu a chymhwyso offer a thechnegau modelu tebygolrwydd, rhagweld ac ymchwil gweithredol, gan ddarparu mewnwelediadau gwybodus ar gyfer prosesau llunio polisi a gwneud penderfyniadau wrth wynebu dyfodol ansicr, ac mae ei ymchwil wedi cyfrannu at sectorau sy'n cyfrannu at les cymdeithasol, gan gynnwys gweithrediadau gofal iechyd, cadwyni cyflenwi iechyd a dyngarol byd-eang, amaethyddiaeth a bwyd, cynaliadwyedd cymdeithasol, a pholisi llywodraethol.
Mae cyfraniadau ymchwil Bahman yn perthyn i dri maes:
1) Cysyniadol, canolbwyntio ar sut y gellir defnyddio rhagfynegi a modelu er budd cymdeithasol neu i lywio penderfyniadau sy'n gysylltiedig â'r Nodau Datblygu Cynaliadwy (gweler, er enghraifft, Rhagweld er budd cymdeithasol; Cynghreiriad neu ddifaterwch? Rôl rhagweld wrth gyflawni nodau datblygu cynaliadwy'r Cenhedloedd Unedig; Hefyd, niwed wrth ragweld (ar y gweill) a rhwystrau wrth ddefnyddio modelau mewn gofal iechyd (ar y gweill)
2) Methodolegol, Ymchwilio i atebion methodolegol i gwestiynau am athroniaeth, theori ac ymarfer; gweler, er enghraifft, Rhagweld cyfresi amser interupted; Archwilio'r cysylltiad rhwng nodweddion cyfres amser a rhagweld trwy agregu tymhorol gan ddefnyddio dysgu peirianyddol; a Rhagolwg Galw trwy agregu dros dro.
3) Ceisiadau: cymhwyso rhagweld a modelu mewn gwyddoniaeth rheoli gofal iechyd, cadwyni cyflenwi iechyd byd-eang a dyngarol, a Nodau Datblygu Cynaliadwy'r Cenhedloedd Unedig. Gweler, er enghraifft, Rhagweld Cyfres Amser Hierarchaidd mewn Gwasanaethau Meddygol Brys; Darogan tebygolrwydd o gyrraedd adrannau brys bob awr; a dull LSTM hybrid ar gyfer rhagweld gofynion eitemau meddygol mewn gweithrediadau dyngarol.
Mae ymdrechion cydweithredol Bahman wedi rhychwantu llu o sefydliadau, gan gynnwys cyrff nodedig fel y Gwasanaeth Iechyd Gwladol (GIG), Ymddiriedolaethau Gwasanaeth Ambiwlans Cymru (WAST), Asiantaeth Datblygu Rhyngwladol yr Unol Daleithiau (USAID), Pwyllgor Rhyngwladol y Groes Goch (ICRC), a John Snow Inc. (JSI). Un o uchafbwyntiau rhyfeddol ei gyfraniadau yw ei rôl ganolog wrth ledaenu gwybodaeth ragfynegi, yn enwedig mewn gwledydd incwm isel ac is, trwy'r prosiect darogan democrataidd a noddir gan Sefydliad Rhyngwladol y Daroganwyr.
Cyhoeddiad
2026
- Halgamuwe Hewage, H. and Rostami-Tabar, B. 2026. A hybrid predictive and prescriptive modelling framework for long-term mental healthcare workforce planning. Journal of the Operational Research Society 77 (9), pp.2529-2553. (10.1080/01605682.2025.2573825)
- Gui, E. M. et al., 2026. What makes the contribution of science towards a sustainable future so difficult? A controversy analysis. Humanities & Social Sciences Communications 13 476. (10.1057/s41599-026-06642-0)
- Birhanu, S. et al., 2026. The role of technology in developing resilient supply chains: A systematic literature review during the COVID-19 pandemic and the disruptions of economic sanctions. Journal of Humanitarian Logistics and Supply Chain Management 16 (1), pp.27-49. (10.1108/JHLSCM-03-2024-0036)
2025
- Wang, Z. et al. 2025. A systematic literature review of trauma systems: An operations management perspective. Advances in Rehabilitation Science and Practice 2024 14. (10.1177/27536351241310645)
- Bilal, A. I. et al., 2025. The missing puzzle piece: contextual insights for enhanced pharmaceutical supply chain forecasting. International Journal of Production Research 63 (24), pp.10189-10207. (10.1080/00207543.2025.2546028)
- Lentlea, D. et al., 2025. Using simulation for long-term bed modelling in critical care. Journal of Simulation 19 (6), pp.657-673. (10.1080/17477778.2024.2412009)
- Omri, O. et al., 2025. On the inventory performance of hierarchical forecasting approaches: case of a vaccine supply chain. Journal of the Operational Research Society (10.1080/01605682.2025.2566323)
- Shi, M. , Rostami-Tabar, B. and Gartner, D. 2025. Looking for the crystal ball in unscheduled care: A systematic literature review of the forecasting process. Health Care Management Science 28 , pp.548-564. (10.1007/s10729-025-09711-z)
- Wang, Z. et al. 2025. Patient length of stay in trauma networks: Insights from advanced modelling. Expert Systems with Applications 289 127801. (10.1016/j.eswa.2025.127801)
- Halagmuwe Hewage, H. et al. 2025. A novel hybrid approach to contraceptive demand forecasting: integrating point predictions with probabilistic distributions. International Journal of Production Research (10.1080/00207543.2025.2526169)
- Rostami-Tabar, B. and Hyndman, R. J. 2025. Hierarchical time series forecasting in emergency medical services. Journal of Service Research 28 (2), pp.278-295. (10.1177/10946705241232169)
2024
- Wang, Z. et al. 2024. Investigating length of stay patterns and its predictors in the South Wales Trauma Network. Advances in Rehabilitation Science and Practice 13 (10.1177/27536351241237866)
- Hasni, M. , Babai, M. Z. and Rostami-Tabar, B. 2024. A hybrid LSTM method for forecasting demands of medical items in humanitarian operations. International Journal of Production Research 62 (17), pp.6046-6063. (10.1080/00207543.2024.2306904)
- Hyndman, R. J. and Rostami-Tabar, B. 2024. Forecasting interrupted time series. Journal of the Operational Research Society (10.1080/01605682.2024.2395315)
- Rostami-Tabar, B. , Browell, J. and Svetunkov, I. 2024. Probabilistic forecasting of hourly Emergency Department arrivals. Health Systems 13 (2), pp.133-149. (10.1080/20476965.2023.2200526)
- Rostami-Tabar, B. , Porter, M. D. and Pinson, P. 2024. Guest editorial: Forecasting for social good. International Journal of Forecasting 41 , pp.1-2. (10.1016/j.ijforecast.2024.08.007)
- Rostami-Tabar, B. et al. 2024. Probabilistic forecasting of daily COVID-19 admissions using machine learning. IMA Journal of Management Mathematics 35 (1), pp.21-43. (10.1093/imaman/dpad009)
- Rostami-Tabar, B. and Gilliland, M. 2024. Alliance or apathy? Forecasting’s role in achieving the U.N. sustainable development goals. Foresight: The International Journal of Applied Forecasting (74), pp.5-6.
2023
- Babaveisi, V. et al., 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)
- Gartner, D. et al. 2023. Challenging the throwaway culture in hospitals: scheduling the mix of reusable and single-use bronchoscopes. Journal of the Operational Research Society 74 (10), pp.2215-2226. (10.1080/01605682.2022.2129490)
- Kolassa, S. , Rostami-Tabar, B. and Siemsen, E. 2023. Demand forecasting for executives and professionals. Routledge Taylor & Francis Group. (10.1201/9781003399599)
- Rostami-Tabar, B. and Mircetic, D. 2023. Exploring the association between time series features and forecasting by temporal aggregation using machine learning. Neurocomputing 548 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)
- 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 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 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)
- 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. et al. 2022. Forecasting for social good. International Journal of Forecasting 38 (3), pp.1245-1257. (10.1016/j.ijforecast.2021.02.010)
- 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. 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.
- 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)
- Mircetic, D. et al., 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)
- Wang, Z. et al. 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. State of the Art. Wiley and SAS Business Series. , pp.382-387.
- Rostami-Tabar, B. and Rendon-Sanchez, J. F. 2021. Forecasting COVID-19 daily cases using phone call data. Applied Soft Computing 100 106932. (10.1016/j.asoc.2020.106932)
2019
- Rostami-Tabar, B. et al. 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. et al. 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. et al. 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. et al. 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 2008. 2008 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. State of the Art. Wiley and SAS Business Series. , pp.382-387.
Cynadleddau
- Wang, Z. et al. 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 2008. 2008 International Conference on Computer and Communication Engineering Proceedings. IEEE. , pp.-. (10.1109/ICCCE.2008.4580831)
Erthyglau
- Halgamuwe Hewage, H. and Rostami-Tabar, B. 2026. A hybrid predictive and prescriptive modelling framework for long-term mental healthcare workforce planning. Journal of the Operational Research Society 77 (9), pp.2529-2553. (10.1080/01605682.2025.2573825)
- Gui, E. M. et al., 2026. What makes the contribution of science towards a sustainable future so difficult? A controversy analysis. Humanities & Social Sciences Communications 13 476. (10.1057/s41599-026-06642-0)
- Birhanu, S. et al., 2026. The role of technology in developing resilient supply chains: A systematic literature review during the COVID-19 pandemic and the disruptions of economic sanctions. Journal of Humanitarian Logistics and Supply Chain Management 16 (1), pp.27-49. (10.1108/JHLSCM-03-2024-0036)
- Wang, Z. et al. 2025. A systematic literature review of trauma systems: An operations management perspective. Advances in Rehabilitation Science and Practice 2024 14. (10.1177/27536351241310645)
- Bilal, A. I. et al., 2025. The missing puzzle piece: contextual insights for enhanced pharmaceutical supply chain forecasting. International Journal of Production Research 63 (24), pp.10189-10207. (10.1080/00207543.2025.2546028)
- Lentlea, D. et al., 2025. Using simulation for long-term bed modelling in critical care. Journal of Simulation 19 (6), pp.657-673. (10.1080/17477778.2024.2412009)
- Omri, O. et al., 2025. On the inventory performance of hierarchical forecasting approaches: case of a vaccine supply chain. Journal of the Operational Research Society (10.1080/01605682.2025.2566323)
- Shi, M. , Rostami-Tabar, B. and Gartner, D. 2025. Looking for the crystal ball in unscheduled care: A systematic literature review of the forecasting process. Health Care Management Science 28 , pp.548-564. (10.1007/s10729-025-09711-z)
- Wang, Z. et al. 2025. Patient length of stay in trauma networks: Insights from advanced modelling. Expert Systems with Applications 289 127801. (10.1016/j.eswa.2025.127801)
- Halagmuwe Hewage, H. et al. 2025. A novel hybrid approach to contraceptive demand forecasting: integrating point predictions with probabilistic distributions. International Journal of Production Research (10.1080/00207543.2025.2526169)
- Rostami-Tabar, B. and Hyndman, R. J. 2025. Hierarchical time series forecasting in emergency medical services. Journal of Service Research 28 (2), pp.278-295. (10.1177/10946705241232169)
- Wang, Z. et al. 2024. Investigating length of stay patterns and its predictors in the South Wales Trauma Network. Advances in Rehabilitation Science and Practice 13 (10.1177/27536351241237866)
- Hasni, M. , Babai, M. Z. and Rostami-Tabar, B. 2024. A hybrid LSTM method for forecasting demands of medical items in humanitarian operations. International Journal of Production Research 62 (17), pp.6046-6063. (10.1080/00207543.2024.2306904)
- Hyndman, R. J. and Rostami-Tabar, B. 2024. Forecasting interrupted time series. Journal of the Operational Research Society (10.1080/01605682.2024.2395315)
- Rostami-Tabar, B. , Browell, J. and Svetunkov, I. 2024. Probabilistic forecasting of hourly Emergency Department arrivals. Health Systems 13 (2), pp.133-149. (10.1080/20476965.2023.2200526)
- Rostami-Tabar, B. , Porter, M. D. and Pinson, P. 2024. Guest editorial: Forecasting for social good. International Journal of Forecasting 41 , pp.1-2. (10.1016/j.ijforecast.2024.08.007)
- Rostami-Tabar, B. et al. 2024. Probabilistic forecasting of daily COVID-19 admissions using machine learning. IMA Journal of Management Mathematics 35 (1), pp.21-43. (10.1093/imaman/dpad009)
- Rostami-Tabar, B. and Gilliland, M. 2024. Alliance or apathy? Forecasting’s role in achieving the U.N. sustainable development goals. Foresight: The International Journal of Applied Forecasting (74), pp.5-6.
- Babaveisi, V. et al., 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)
- Gartner, D. et al. 2023. Challenging the throwaway culture in hospitals: scheduling the mix of reusable and single-use bronchoscopes. Journal of the Operational Research Society 74 (10), pp.2215-2226. (10.1080/01605682.2022.2129490)
- Rostami-Tabar, B. and Mircetic, D. 2023. Exploring the association between time series features and forecasting by temporal aggregation using machine learning. Neurocomputing 548 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)
- 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 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 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)
- 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. et al. 2022. Forecasting for social good. International Journal of Forecasting 38 (3), pp.1245-1257. (10.1016/j.ijforecast.2021.02.010)
- 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. , Hong, T. and Porter, M. D. 2022. Guest Editorial: Forecasting for social good. International Journal of Forecasting 38 (3), pp.1173-1174.
- 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)
- Mircetic, D. et al., 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)
- Rostami-Tabar, B. and Rendon-Sanchez, J. F. 2021. Forecasting COVID-19 daily cases using phone call data. Applied Soft Computing 100 106932. (10.1016/j.asoc.2020.106932)
- Rostami-Tabar, B. et al. 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. et al. 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. et al. 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. et al. 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)
Llyfrau
- Kolassa, S. , Rostami-Tabar, B. and Siemsen, E. 2023. Demand forecasting for executives and professionals. Routledge Taylor & Francis Group. (10.1201/9781003399599)
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
Methodoleg:
- Ansicrwydd a'r dyfodol
- Modelu a dadansoddi
- Gwyddor Data, Dysgu Peiriant ac AI
- Darogan Probabilsitic
- Offer ar gyfer meddwl am y dyfodol
- Reserach Gweithredol
Cymwysiadau:
- Lles Cymdeithasol
- Systemau Iechyd a Gofal
- Cadwyni cyflenwi Iechyd Byd-eang ac Iechyd y Cyhoedd
- Cadwyni Cyflenwi Dyngarol
Addysgu
Teaching commitments
- Operations Analytics
- Strategic Supply Chain Management
Bywgraffiad
Cymwysterau
- 2014 - Ph.D., Peirianneg Diwydiannol. 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
- 2004 - B.Sc., Peirianneg Ddiwydiannol, KN Toosi Uni. Technoleg Tehran, Iran (4 blynedd).
Anrhydeddau a dyfarniadau
- 2024, enillydd Medal Goodeve, Cymdeithas Ymchwil Weithredol, y DU.
- 2024, Cymrodoriaeth, Sefydliad Astudiaethau Uwch, Montpellier, Ffrainc.
- 2021, Cymrawd Gwerth Cyhoeddus, Ysgol Busnes Caerdydd.
- 2021, Cymrawd Cyswllt, cymuned GIG-R.
- Gwobr Papur Gorau MIM 2013 (IFAC).
- 2017 Symposiwm Rhyngwladol ar Beirianneg Ddiwydiannol a Rheoli Gweithrediadau, Gwobr Papur Trac Gorau, Bryste, UK.
Safleoedd academaidd blaenorol
- 2015 - 2016: Darlithydd mewn Rheoli Cadwyn Gyflenwi, Ysgol Strategaeth ac Arweinyddiaeth, Prifysgol Coventry , y DU.
- 2014 - 2015: Cymrodoriaeth Ymchwil Ôl-ddoethurol, Lab Peirianneg Diwydiannol, Ecole Centrale Paris, Ffrainc.
Meysydd goruchwyliaeth
Goruchwyliaeth PhD
Rwy'n croesawu ymholiadau gan ddarpar fyfyrwyr PhD ym meysydd
Theori a methodoleg:
- Ansicrwydd a'r dyfodol
- Deallusrwydd artiffisial
- Dysgu Peiriant
- Rhagolygon Tebygolrwydd
- Rhagfynegi yn ôl Agregu (Hierarchaidd ac Amserol)
- Ymchwil Weithredol
Cymwysiadau:
- Systemau Gofal Iechyd
- Cadwyni Cyflenwi Iechyd Byd-eang a Chyhoeddus
- Logisteg Dyngarol a Chadwyni Cyflenwi
- Lles Cymdeithasol
- Nodau Datblygu Cynaliadwy y Cenhedloedd Unedig
Goruchwyliaeth gyfredol
Alfred Sallwa
Mingzhe Shi
Yemsrach Demissie
Birhanu Shanko Dura Dura
Prosiectau'r gorffennol
1. Dr. Diego Bermudez Bermejo, 2020-2024, Ymagwedd systemau amlffactor integreiddiol i wella gwytnwch gweithredol a chynaliadwyedd rhanddeiliaid sefydliadol taliadau manwerthu y DU, sy'n gweithio ar hyn o bryd yn Sefydliad Ellen MacArthur
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Contact Details
[email protected]
+44 29208 70723
Adeilad Aberconwy, Ystafell C08, Rhodfa Colum, Cathays, Caerdydd, CF10 3EU
+44 29208 70723
Adeilad Aberconwy, Ystafell C08, Rhodfa Colum, Cathays, Caerdydd, CF10 3EU
Themâu ymchwil
Arbenigeddau
- Deallusrwydd artiffisial
- Dysgu peirianyddol
- Rhagweld
- Gofal
- Cadwyni cyflenwi
