![Thanos E Goltsos](https://profiles-cardiff.imgix.net/attachments/1280?w=200&h=200&auto=format&crop=faces&fit=crop&q=90")
Dr Thanos E Goltsos
Teams and roles for Thanos E Goltsos
Senior Lecturer (Associate Professor) in Management Science
Overview
I hold an MEng in Mechanical Engineering (incl MSc in Industrial Management) from Aristotle University of Thessaloniki, an MSc in Business Analysis and Management (hons) from Loughborough University, and a PhD in operations management from the Management Science Laboratory of Athens University of Business and Economics.
My research and teaching interests revolve around forecasting and inventory control with a focus on the operations management side of the Circular Economy, (forward and) reverse supply chains, simulation, and optimisation.
Prior to my current role, I have been employed as a Research Associate with ASTUTE (first on 2014 and then again on a followup project in 2019), working on numerous projects with industry around forecasting and inventory control optimisation applications. In between, I successfully applied for and then was employed in a Knowledge Transfer Partnership on remanufacturing operations co-funded by the EPSRC, Innovate UK, and the company partner. Both projects won the Cardiff University Innovation and Impact award in the Business Innovation category (in 2015 and 2019 respectively). Since 2020, I have been employed as the PARC Assistant Professor of Manufacturing and Logistics. Throughout this time I have worked closely with industry in numerous projects, advised, supervised and created a number of bespoke forecasting and inventory control solutions and applications for both linear and circular economy operations. Information on some of these and other projects can be found here.
Publication
2026
- Ponte, B. et al., 2026. On the dynamics of pure remanufacturing systems. IMA Journal of Management Mathematics 37 (2), pp.489-531. dpag001. (10.1093/imaman/dpag001)
- Murray, S. , Taubert, M. and Goltsos, T. 2026. Six months to live limit for assisted dying would be pure guesswork. [Online].The Times: Times Newspapers. Available at: https://edition.pagesuite.com/get_image.aspx?w=600&eid=eacb864f-4ada-44a2-a602-5f0d4041fb44&pnum=24.
- Demir, E. , Goltsos, T. E. and White, S. 2026. Circular logistics and operations: transportation across a product’s lifecycle. In: Jarboui, B. , Toumi, S. and Siarry, P. eds. Circular Economy Supply Chains: Optimizing via Data Science. Computational Intelligence Methods and Applications Singapore: Springer. , pp.187-206. (10.1007/978-981-96-7905-8_9)
2025
- Taubert, M. , Goltsos, T. and Murray, S. A. 2025. Science of forecasting: new methods to predict death [Editorial]. BMJ Supportive & Palliative Care 16 , pp.317-319. (10.1136/spcare-2025-005746)
2024
- 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)
2023
- 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
- Goltsos, T. E. et al. 2022. Inventory - forecasting: mind the gap. European Journal of Operational Research 299 (2), pp.397-419. (10.1016/j.ejor.2021.07.040)
2019
- Goltsos, T. E. et al. 2019. The boomerang returns? Accounting for the impact of uncertainties on the dynamics of remanufacturing systems. International Journal of Production Research 57 (23), pp.7361-7394. (10.1080/00207543.2018.1510191)
- Goltsos, T. E. , Syntetos, A. A. and van der Laan, E. 2019. Forecasting for remanufacturing: the effects of serialization. Journal of Operations Management 65 (5), pp.447-467. (10.1002/joom.1031)
Articles
- Ponte, B. et al., 2026. On the dynamics of pure remanufacturing systems. IMA Journal of Management Mathematics 37 (2), pp.489-531. dpag001. (10.1093/imaman/dpag001)
- Taubert, M. , Goltsos, T. and Murray, S. A. 2025. Science of forecasting: new methods to predict death [Editorial]. BMJ Supportive & Palliative Care 16 , pp.317-319. (10.1136/spcare-2025-005746)
- 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. , 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)
- Goltsos, T. E. et al. 2022. Inventory - forecasting: mind the gap. European Journal of Operational Research 299 (2), pp.397-419. (10.1016/j.ejor.2021.07.040)
- Goltsos, T. E. et al. 2019. The boomerang returns? Accounting for the impact of uncertainties on the dynamics of remanufacturing systems. International Journal of Production Research 57 (23), pp.7361-7394. (10.1080/00207543.2018.1510191)
- Goltsos, T. E. , Syntetos, A. A. and van der Laan, E. 2019. Forecasting for remanufacturing: the effects of serialization. Journal of Operations Management 65 (5), pp.447-467. (10.1002/joom.1031)
Book sections
- Demir, E. , Goltsos, T. E. and White, S. 2026. Circular logistics and operations: transportation across a product’s lifecycle. In: Jarboui, B. , Toumi, S. and Siarry, P. eds. Circular Economy Supply Chains: Optimizing via Data Science. Computational Intelligence Methods and Applications Singapore: Springer. , pp.187-206. (10.1007/978-981-96-7905-8_9)
Websites
- Murray, S. , Taubert, M. and Goltsos, T. 2026. Six months to live limit for assisted dying would be pure guesswork. [Online].The Times: Times Newspapers. Available at: https://edition.pagesuite.com/get_image.aspx?w=600&eid=eacb864f-4ada-44a2-a602-5f0d4041fb44&pnum=24.
Research
Primary research interests
- Statistical sales/demand forecasting and management
- Statistical inventory control and inventory management
- Simulation
- Model selection and optimisation, combinations
- Decision Support Systems
- Temporal and hierarchical aggregation
Research Areas
- Forward (linear) and reverse (circular) supply chains
- Remanufacturing
- Repurposing
- the Circular Economy
Biography
Qualifications
- PhD in Operational Research from the department of Management Science & Technology of the Athens University of Economics and Business.
- MSc in Business Analysis and Management from Loughborough University, with honours.
- MEng (5 years) in Mechanical Engineering from Aristotle University of Thessaloniki;
- (includes MSc in Industrial Management).
- High School, the American College of Greece (Pierce College), with honours.
Honours and awards
- Cardiff University Innovation and Impact awards: 2019 (Qioptiq KTP).
- Cardiff University Innovation and Impact awards: 2015 (ASTUTE project).
Professional memberships
- International Institute of Forecasters (IIF)
- Accredited member of Technical Chamber of Greece (TEE) - Chartered Mechanical Engineer.
Supervisions
I am particularly interested in supervising PhD students in the areas of:
- Forecasting (forward and reverse)
- Inventory control (demand/sales and returns)
- Circular economy strategies (Remanufacturing, Repurposing, Recycling) and aspects therein
- Simulation and optimisation
- Supply chain modelling
News articles
Contact Details
+44 29208 79325
Aberconway Building, Room C28, Colum Road, Cathays, Cardiff, CF10 3EU
