Professor Aris Syntetos
BSc, MSc, DPhil, PGCert, FIMA, FAcadMathSci

: Available for postgraduate supervision

Teams and roles for Aris Syntetos

Professor
Logistics And Operations Management

I am Research Professor of Decision Science and hold the DSV Chair of Logistics Research. I am founder and Director of the joint University-Industry PARC Institute of Manufacturing, Logistics and Inventory (that encompasses Cardiff University's RemakerSpace). I have set up and currently look after the University's strategic partnership with DSV. Before joining Cardiff, I served in the faculties of the University of Salford (Centre for Operational Research and Applied Statistics), and Copenhagen Business School (Otto Monsted Professorship, Department of Operations).

At Cardiff, I research forecasting and uncertainty management for improving inventory, manufacturing, logistics and supply chain decisions. I have been credited with uniting the (formerly siloed) disciplines of forecasting and inventory optimisation, and I am principally known for the Syntetos-Boylan Approximation, a standard forecasting method, and the Syntetos-Boylan-Croston approach to forecast classification. My 2021 book with John Boylan is summarised in this video.

My work reflects collaboration with more than 50 universities and companies around the world, and it has been supported with funds exceeding £5 Million (almost all of which I have secured as Principal Investigator and almost all of which has been awarded to my affiliated University). I have been published in leading academic outlets (such as Decision Sciences, European Journal of Operational Research, Journal of Operations Management, and Production & Operations Management), and I have about 13,500 citations to my work.

I have advised many organisations on inventory forecasting related matters and several methods/ algorithms I have co-developed are being utilised by major software corporations. Over the last few years, I have been working closely with: British Telecommunications (BT), Brother International, DSV, the Excelitas group (Qioptiq), Ocado, and the Efficient Consumer Response (ECR) group (through which I am working with Europe's largest retailers). Some of my recent impact can be found here.

I am Editor in Chief of the IMA Journal of Management Mathematics (IMAMAN, Oxford University Press) and Associate Editor of FORESIGHT, the practitioner oriented publication of the International Institute of Forecasters (IIF). I served as Director of the IIF in 2014 - 2022, and I currently serve as Vice-President of the International Society for Inventories Research (ISIR).

At Cardiff University, I have received awards for excellence in postgraduate teaching, the 2016 Cardiff University Outstanding Doctoral Supervisor Award, and the 2016 and 2019 Cardiff University Innovation and Impact Award in Business for my work with Panalpina World Transport Ltd. (now DSV) and Qioptiq Ltd., respectively. In 2024 I received (with Bahman Rostami-Tabar and Zied Babai) the Goodeve Medal from the Operational Research Society (ORS). And I am deeply honoroured that in 2026 I was elected as one of the founding Fellows of the Academy for the Mathematical Sciences as I was also awarded the Companionship of Operational Research by the ORS.

Date
Type

2026

Wang, S. et al., 2026. Maintenance schedules by conditional inference trees. European Journal of Operational Research (10.1016/j.ejor.2026.08.022)
Rekik, Y. et al., 2026. Inventory record inaccuracy in grocery retailing: impact of promotions and product perishability, and targeted effect of audits. Journal of Business Logistics 47 (3) e70079. (10.1111/jbl.70079)
Teunter, R. H. , Babai, M. and Syntetos, A. A. 2026. Deriving near-optimality conditions using approximation procedures for an inventory control system with lost sales. International Journal of Production Economics 297 110015. (10.1016/j.ijpe.2026.110015)
Balugani, E. et al., 2026. Multi-step newsvendors revisited: targeted marketing investment and informativeness. International Journal of Production Research , pp.1-24. (10.1080/00207543.2026.2683882)
Chaldoupis, K. et al., 2026. Additive manufacturing for standard parts in the healthcare supply chain: What are the available performance improvements?. International Journal of Production Research 64 (10), pp.3919-3937. (10.1080/00207543.2024.2434591)
Babai, M. Z. , Syntetos, A. A. and Teunter, R. H. 2026. Fifty years of inventory research from a forecasting perspective. European Journal of Operational Research 331 (1)(10.1016/j.ejor.2025.07.003)
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)
Tziora, E. et al., 2026. On the impact of supply uncertainty on inventory decisions: EOQ-based models. International Journal of Production Research 64 (5), pp.1885-1903. (10.1080/00207543.2025.2606914)

2025

Glock, C. H. , Syntetos, A. A. and Rekik, Y. 2025. On the measurement of inventory record inaccuracies. The International Review of Retail, Distribution and Consumer Research (10.1080/09593969.2025.2608729)
Teunter, R. H. , Zied Babai, M. and Syntetos, A. A. 2025. Simple Economic Order Quantity heuristics for stochastic inventory control. IMA Journal of Management Mathematics 36 (4), pp.649-667. (10.1093/imaman/dpaf035)
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)
Jin, Z. et al. 2025. Enhanced bearing RUL prediction based on dynamic temporal attention and mixed MLP. Autonomous Intelligent Systems 5 (1) 2. (10.1007/s43684-024-00088-4)

2024

Johns, J. et al., 2024. Additive Manufacturing and circular economies. In: Emmit, S. and Charef, R. eds. Circular Economy for the Built Environment: Research and Practice. Routledge. , pp.250-268.
Jin, Z. et al. 2024. Compact convolutional transformer for bearing remaining useful life prediction. Presented at: IWAR 2023- VII International Workshop on Autonomous Remanufacturing Caserta, Italy 18-19 October 2023. Published in: Fera, M. et al., Advances in Remanufacturing. IWAR 2023. Lecture Notes in Mechanical Engineering Cham, Switzerland: Springer. , pp.227-238. (10.1007/978-3-031-52649-7_18)
Scarf, P. , Syntetos, A. and Teunter, R. 2024. Joint maintenance and spare-parts inventory models: a review and discussion of practical stock-keeping rules. IMA Journal of Management Mathematics 35 (1), pp.83-109. (10.1093/imaman/dpad020)
Ford, G. et al. 2024. Simplifying complexity? On quality decision-making and non-conformance outcomes of megaprojects. IEEE Transactions on Engineering Management 71 , pp.5443-5454. (10.1109/TEM.2024.3359821)

2018

Alamri, A. A. and Syntetos, A. A. 2018. Beyond LIFO and FIFO: Exploring an Allocation-In-Fraction-Out (AIFO) policy in a two-warehouse inventory model. International Journal of Production Economics 206 , pp.33-45. (10.1016/j.ijpe.2018.09.025)
Van Foreest, N. D. , Teunter, R. H. and Syntetos, A. 2018. Base-stock policies with reservations. Omega 81 , pp.48-56. (10.1016/j.omega.2017.09.008)
Teunter, R. H. et al., 2018. Revisiting the value of information sharing in two-stage supply chains. European Journal of Operational Research 270 (3), pp.1044-1052. (10.1016/j.ejor.2018.04.040)
Wang, S. et al. 2018. Reliability analysis for automobile engines: conditional inference trees. Procedia CIRP 72 , pp.1392-1397. (10.1016/j.procir.2018.03.065)
Lahy, A. et al., 2018. Developing a product-service system through a productisation strategy: a case from the 3PL industry. International Journal of Production Research 56 (6), pp.2233-2249. (10.1080/00207543.2017.1367861)
Chen, C. et al. 2018. Reliability analysis using deep learning. Presented at: ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference Quebec City, Canada 26-29 August 2018. ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference Volume 1B: 38th Computers and Information in Engineering Conference Quebec City, Quebec, Canada, August 26–29, 2018. ASME. , pp.V01BT02A040. (10.1115/DETC2018-86172)
Demir, E. , Abouarghoub, W. and Syntetos, A. 2018. Modelling the delivery slots for the last mile delivery: Costs and emissions. Presented at: The 23rd International Symposium on Logistics (ISL 2018) Bali, Indonesia 8-11 July 2018. Published in: Pawar, K. S. et al., Proceedings of the 23rd International Symposium on Logistics. Nottingham University Business School,. , pp.422-430.

2017

Zahedi-Hosseini, F. , Scarf, P. and Syntetos, A. 2017. Joint optimisation of inspection maintenance and spare parts provisioning: a comparative study of inventory policies using simulation and survey data. Reliability Engineering & System Safety 168 , pp.306-316. (10.1016/j.ress.2017.03.007)
Prak, D. et al., 2017. The Repair Kit Problem with positive replenishment lead times and fixed ordering costs. European Journal of Operational Research 261 (3), pp.893-902. (10.1016/j.ejor.2017.02.019)
Rekik, Y. , Glock, C. H. and Syntetos, A. A. 2017. Enriching demand forecasts with managerial information to improve inventory replenishment decisions: exploiting judgment and fostering learning. European Journal of Operational Research 261 (1), pp.182-194. (10.1016/j.ejor.2017.02.001)
Ali, M. M. et al., 2017. Supply chain forecasting when information is not shared. European Journal of Operational Research 260 (3), pp.984-994. (10.1016/j.ejor.2016.11.046)
Teunter, R. , Syntetos, A. A. and Babai, M. 2017. Stock keeping unit fill rate specification. European Journal of Operational Research 259 (3), pp.917-925. (10.1016/j.ejor.2016.11.017)
Prak, D. , Teunter, R. and Syntetos, A. 2017. On the calculation of safety stocks when demand is forecasted. European Journal of Operational Research 256 (2), pp.454-461. (10.1016/j.ejor.2016.06.035)

2016

Alamri, A. A. , Harris, I. and Syntetos, A. A. 2016. Efficient inventory control for imperfect quality items. European Journal of Operational Research 254 (1), pp.92-104. (10.1016/j.ejor.2016.03.058)
Syntetos, A. et al. 2016. Supply chain forecasting: theory, practice, their gap and the future. European Journal of Operational Research 252 (1), pp.1-26. (10.1016/j.ejor.2015.11.010)
Syntetos, A. A. , Kholidasari, I. and Naim, M. M. 2016. The effects of integrating management judgement into OUT levels: in or out of context?. European Journal of Operational Research 249 (3), pp.853-863. (10.1016/j.ejor.2015.07.021)
Syntetos, A. A. et al. 2016. On the benefits of delayed ordering. European Journal of Operational Research 248 (3), pp.963-970. (10.1016/j.ejor.2015.08.003)
Babai, M. Z. et al., 2016. Reduction of the value of information sharing as demand becomes strongly auto-correlated. International Journal of Production Economics 181 (A), pp.130-135. (10.1016/j.ijpe.2015.05.005)
Petropoulos, F. et al. 2016. The inventory performance of forecasting methods: a reanalysis of the M3-competition monthly industry data. Presented at: Logistics and Operations Management Section Annual Conference, Cardiff Business School, Cardiff University Cardiff, Wales, UK 15 January 2016.

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)
Syntetos, A. , Babai, M. Z. and Luo, S. 2015. Forecasting of compound Erlang demand. Journal of the Operational Research Society 66 , pp.2061-2074. (10.1057/jors.2015.27)
Boylan, J. E. et al., 2015. Reproducibility in forecasting research. International Journal of Forecasting 31 (1), pp.79-90. (10.1016/j.ijforecast.2014.05.008)
Rekik, Y. , Syntetos, A. and Jemai, Z. 2015. An e-retailing supply chain subject to inventory inaccuracies. International Journal of Production Economics 167 , pp.139-155. (10.1016/j.ijpe.2015.04.011)
Syntetos, A. , Zied Babai, M. and Gardner, E. S. 2015. Forecasting intermittent inventory demands: simple parametric methods vs. bootstrapping. Journal of Business Research 68 (8), pp.1746-1752. (10.1016/j.jbusres.2015.03.034)

2014

Zied Babai, M. , Syntetos, A. and Teunter, R. 2014. Intermittent demand forecasting: An empirical study on accuracy and the risk of obsolescence. International Journal of Production Economics 157 , pp.212-219. (10.1016/j.ijpe.2014.08.019)
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)
Lengu, D. , Syntetos, A. and Babai, M. Z. 2014. Spare parts management: Linking distributional assumptions to demand classification. European Journal of Operational Research 235 (3), pp.624-635. (10.1016/j.ejor.2013.12.043)
Boylan, J. E. et al., 2014. Formation of seasonal groups and application of seasonal indices. Journal of the Operational Research Society 65 , pp.227-241. (10.1057/jors.2012.126)
Harris, I. et al. 2014. Horizontal logistics collaboration in the retail sector: myth or reality?. Presented at: LRN Annual Conference and PhD Workshop 2014 Huddersfield, England 3-5 September 2014.
Sanchez Rodrigues, V. A. et al. 2014. A horizontal logistics collaboration framework from a holistic supply chain perspective. Presented at: 19th International Working Seminar on Production Economics Innsbruck, Austria 24-28 February 2014.

2013

Babai, M. Z. et al., 2013. Forecasting and inventory performance in a two-stage supply chain with ARIMA(0,1,1) demand: Theory and empirical analysis. International Journal of Production Economics 143 (2), pp.463-471. (10.1016/j.ijpe.2011.09.004)
Bacchetti, A. et al., 2013. Empirically-driven hierarchical classification of stock keeping units. International Journal of Production Economics 143 (2), pp.263-274. (10.1016/j.ijpe.2012.06.010)
Heinecke, G. , Syntetos, A. and Wang, W. 2013. Forecasting-based SKU classification. International Journal of Production Economics 143 (2), pp.455-462. (10.1016/j.ijpe.2011.11.020)
Mason, R. J. et al. 2013. Evaluating the feasibility of horizontal coordination in horizontal collaboration in international logistics networks: a grocery retail perspective. Presented at: International Symposium on Logistics Vienna, Austria 7-10 July 2013.
Rostami-Tabar, B. et al. 2013. Demand forecasting by temporal aggregation. Naval Research Logistics 60 (6), pp.479-498. (10.1002/nav.21546)

2012

Ali, M. M. , Boylan, J. E. and Syntetos, A. 2012. Forecast errors and inventory performance under forecast information sharing. International Journal of Forecasting 28 (4), pp.830-841. (10.1016/j.ijforecast.2010.08.003)
Syntetos, A. , Babai, M. Z. and Altay, N. 2012. On the demand distributions of spare parts. International Journal of Production Research 50 (8), pp.2101-2117. (10.1080/00207543.2011.562561)

2011

Teunter, R. H. , Syntetos, A. and Zied Babai, M. 2011. Intermittent demand: Linking forecasting to inventory obsolescence. European Journal of Operational Research 214 (3), pp.606-615. (10.1016/j.ejor.2011.05.018)
Strijbosch, L. W. et al., 2011. On the interaction between forecasting and stock control: The case of non-stationary demand. International Journal of Production Economics 133 (1), pp.470-480. (10.1016/j.ijpe.2009.10.032)
Syntetos, A. et al. 2011. Judgement and supply chain dynamics. Journal of the Operational Research Society 62 , pp.1138-1158. (10.1057/jors.2010.56)
Wang, W. and Syntetos, A. 2011. Spare parts demand: Linking forecasting to equipment maintenance. Transportation Research Part E: Logistics and Transportation Review 47 (6), pp.1194-1209. (10.1016/j.tre.2011.04.008)

2010

Teunter, R. H. , Syntetos, A. and Babai, M. Z. 2010. Determining order-up-to levels under periodic review for compound binomial (intermittent) demand. European Journal of Operational Research 203 (3), pp.619-624. (10.1016/j.ejor.2009.09.013)
Babai, M. Z. , Syntetos, A. and Teunter, R. 2010. On the empirical performance of (T,s,S) heuristics. European Journal of Operational Research 202 (2), pp.466-472. (10.1016/j.ejor.2009.05.030)
Boylan, J. E. and Syntetos, A. 2010. Spare parts management: A review of forecasting research and extensions. IMA Journal of Management Mathematics 21 (3), pp.227-237. (10.1093/imaman/dpp016)
Martin, H. et al., 2010. Integrating the spare parts supply chain: An inter-disciplinary account. Journal of Manufacturing Technology Management 21 (2), pp.226-245. (10.1108/17410381011014387)
Nikolopoulos, K. et al. 2010. An aggregate-disaggregate intermittent demand approach (ADIDA) to forecasting: an empirical proposition and analysis. Journal of the Operational Research Society 62 (3), pp.544-554. (10.1057/jors.2010.32)
Syntetos, A. et al. 2010. Forecasting and stock control: A study in a wholesaling context. International Journal of Production Economics 127 (1), pp.103-111. (10.1016/j.ijpe.2010.05.001)
Syntetos, A. and Boylan, J. E. 2010. On the variance of intermittent demand estimates. International Journal of Production Economics 128 (2), pp.546-555. (10.1016/j.ijpe.2010.07.005)
Syntetos, A. , Nikolopoulos, K. and Boylan, J. E. 2010. Judging the judges through accuracy-implication metrics: the case of inventory forecasting. International Journal of Forecasting 26 (1), pp.134-143. (10.1016/j.ijforecast.2009.05.016)
Teunter, R. H. , Babai, M. Z. and Syntetos, A. 2010. ABC classification: service levels and inventory costs. Production and Operations Management 19 (3), pp.343-352. (10.1111/j.1937-5956.2009.01098.x)

2009

Babaï, M. Z. et al., 2009. Dynamic re-order point inventory control with lead-time uncertainty: Analysis and empirical investigation. International Journal of Production Research 47 (9), pp.2461-2483. (10.1080/00207540701666824)
Syntetos, A. et al. 2009. Periodic control of intermittent demand items: theory and empirical analysis. Journal of the Operational Research Society 60 (5), pp.611-618. (10.1057/palgrave.jors.2602593)
Syntetos, A. , Boylan, J. E. and Disney, S. M. 2009. Forecasting for inventory planning: a 50-year review. Journal of the Operational Research Society 60 , pp.S149-s160. (10.1057/jors.2008.173)
Syntetos, A. , Keyes, M. and Babai, M. Z. 2009. Demand categorisation in a European spare parts logistics network. International Journal of Operations & Production Management 29 (3), pp.292-316. (10.1108/01443570910939005)
Syntetos, A. et al. 2009. The effects of integrating management judgement into intermittent demand forecasts. International Journal of Production Economics 118 (1), pp.72-81. (10.1016/j.ijpe.2008.08.011)

2008

Boylan, J. E. , Syntetos, A. and Karakostas, G. E. 2008. Classification for forecasting and stock control: a case study. Journal of the Operational Research Society 59 (4), pp.473-481. (10.1057/palgrave.jors.2602312)
Fildes, R. et al., 2008. Forecasting and operational research: a review. Journal of the Operational Research Society 59 (9), pp.1150-1172. (10.1057/palgrave.jors.2602597)
Syntetos, A. , Boylan, J. E. and Disney, S. M. 2008. Inventory, forecasting and planning: a 50 year review. Presented at: 50th Annual Conference of the Operational Research Society (OR 50) 2008 York, UK 9-11 September 2008.
Syntetos, A. and Boylan, J. E. 2008. Demand forecasting adjustments for service-level achievement. IMA Journal of Management Mathematics 19 (2), pp.175-192. (10.1093/imaman/dpm034)

2007

Boylan, J. and Syntetos, A. 2007. The accuracy of a Modified Croston procedure. International Journal of Production Economics 107 (2), pp.511-517. (10.1016/j.ijpe.2006.10.005)
Polychronakis, Y. E. and Syntetos, A. 2007. 'Soft' supplier management related issues: An empirical investigation. International Journal of Production Economics 106 (2), pp.431-449. (10.1016/j.ijpe.2006.07.008)

2006

Syntetos, A. and Boylan, J. E. 2006. On the stock control performance of intermittent demand estimators. International Journal of Production Economics 103 (1), pp.36-47. (10.1016/j.ijpe.2005.04.004)

2005

Syntetos, A. and Boylan, J. E. 2005. The accuracy of intermittent demand estimates. International Journal of Forecasting 21 (2), pp.303-314. (10.1016/j.ijforecast.2004.10.001)

2004

Syntetos, A. , Boylan, J. E. and Croston, J. D. 2004. On the categorization of demand patterns. Journal of the Operational Research Society 56 (5), pp.495-503. (10.1057/palgrave.jors.2601841)

2001

Syntetos, A. and Boylan, J. E. 2001. On the bias of intermittent demand estimates. International Journal of Production Economics 71 (1-3), pp.457-466. (10.1016/S0925-5273(00)00143-2)

Research interests

I work in the area of Decision Science, and I am interested in developing theoretically rigorous yet practically viable and effective inventory and/or forecasting algorithms and business models.

I have worked, and continue to do so, on intermittent demand inventory forecasting. This work is particularly relevant to spare parts (and after sales) supply chains. I am also working on inventory forecasting in the context of closed loop supply chains (circular economy) and additive manufacturing (3DP in particular) enabled supply chains. My work has always been underlined not only by financial but also environmental, and more recently social, concerns. I have always been pre-occupied with reducing inventory obsolescence, and more recently, with opportunities to stop planned obsolescence altogether.

My current research interests are around the following areas:

Statistical and judgmental supply chain forecasting
Inventory, and inventory inaccuracies, mathematical modelling and management
Analytical and conceptual unification of Inventory-Forecasting
Inventory Forecasting in: i) spare parts, ii) after sales, iii) retail, iv) close loop, v) 3DP-enabled supply chains
Inventory (and/or) Forecasting for environmental sustainability: obsolescence reduction or elimination
Inventory (and/or) Forecasting for social good

Funded research and knoweldge transfer projects

[Projects exclusively/directly funded from Industry and small grants (below £20K) are not included here]

Engineering and Physical Sciences Research Council (EPSRC): EP/D062942/1, 2006-08 (£192,950), ‘On the Development of Theory-Informed Operationalised Definitions of Demand Patterns’, First Grant Scheme. Principal/sole investigator.
Technology Strategy Board (TSB): Knowledge Transfer Partnership with Valves Instruments Plus (VIP Ltd.) - KTP 6202, 2006-08 (£166,839), Subject Area: ‘Inventory Management and IT in a Wholesaling Environment’. Co-Investigator (PI: John Davies).
EPSRC: EP/F012632/1, 2007-08 (£62,144), ‘Forecasting and Inventory Management: Bridging the Gap’. Principal Investigator (CI: John Boylan).
EPSRC: EP/G006075/1, 2009-10 (£72,190), ‘Commercialisation of an inventory management solution for intermittent demand items’. Principal/sole investigator.
EPSRC: EP/G070369/1, 2009 (£20,000), ‘Cognitive Mapping, System Dynamics and the Bullwhip Effect’. Principal Investigator (CIs: Brian Dangerfield, John Boylan).
Innovate UK: Knowledge Transfer Partnership with Killgerm Ltd. - KTP ELCT01, 2010-2012 (£170,413), Inter-disciplinary project on the ‘Development of Research Capacity in the Pest Management Industry’. Co-Investigator (PI: Gai Murphy).
EPSRC: EP/G003858/1, 2009-2013 (£266,595), ‘Using the Grouping and Shrinkage Approaches to Forecasting Sub-Aggregate Level Seasonal Demand’. Principal Investigator (CIs: Huijing Chen, John Boylan).
EPSRC & Innovate UK: Knowledge Transfer Partnership with Panalpina World Transport Ltd. - KTP 9208, 2013-2015 (£133,998), Subject area: ‘Statistical Forecasting and Inventory Control in a 3PL Context’. Principal/Sole Investigator.
EPSRC & Innovate UK: Double Knowledge Transfer Partnership with Panalpina World Transport Ltd. - KTP 10165, 2016-2018 (£285,967), Subject area: ‘Traditional VS. 3D Printing Enabled Inventory Control’. Principal Investigator (CIs: Rossi Setchi, Frank Lacan, Xun Wang).
EPSRC & Welsh Government: Knowledge Transfer Partnership with Qioptiq Ltd. - KTP 10171, 2016-2018 (£160,281), Subject area: ‘Returns Forecasting in a Remanufacturing / Closed Loop Context’. Principal Investigator (CI: Mohamed Naim).
EPSRC: EP/P008925/1, 2017-2019 (£711,899), ‘Resilient Remanufacturing Networks: Forecasting, Informatics and Holons’. Principal Investigator (CIs: Mohamed Naim, Ying Liu).
EPSRC & Innovate UK: Knowledge Transfer Partnership with OCADO - KTP 10165, 2019-2021 (£202,660), Subject area: ‘Transportation /Routing Optimisation’. Academic Advisor (PI: Emrah Demir).
Welsh Government: Cardiff University Centre for Repair, Remake, Remanufacture and Reuse, 2020a (£488,040). Principal Investigator (CI: Dan Eyers).
Welsh Government: Cardiff University Centre for Repair, Remake, Remanufacture and Reuse, 2020b (£95,000), Principal Investigator (CI: Dan Eyers).
Welsh Government: Smart Expertise project 82505, 2021 (£324,683), ‘Enabling Repurposing - Product Transformation and Connected Collaboration’. Principal Investigator (CIs: Dan Eyers, Thanos Goltsos, Andy Davies).
EPSRC: Collaborative DTP PhD studentship, 2022-2026 (£155,048), ‘Forecasting Improvements for Better Reproductive Health and Family Planning Operations in Global Health Supply Chains’. With the support of the Unites States Agency for International Development (USAID). 2^nd Supervisor (with Bahman Rostami-Tabar and Federico Liberatore).
Welsh Government: Expansion of (RemakerSpace) AM capabilities, 2022 (£67,670), ‘Circular Hybrid Manufacturing (CHM) of Sustainable Powders for Powder-Bed-Fusion Additive Manufacturing (AM) Processes via Recycling of Machining Scraps.’ Co-Investigator (PI: Debajyoti Bhaduri, School of Engineering, Cardiff University).
Welsh Government: Smart Expertise project, 2024 (£79,543), ‘RemakerSpace expansion’. Principal Investigator (CIs: Dan Eyers, Rebecca Travers, Franck Lacan).
Welsh Government: Smart Expertise project, 2025 (£55,000), ‘PARC expansion’. Principal Investigator (CIs: Thanos Goltsos, Franck Lacan).

Teaching - Cardiff University

My time is devoted 100% to research (and knowledge transfer).

Previously, in Cardiff Business School, I taught Logistics Modelling, Operations Analytics and Operations Management at the MSc programmes of the Logistics and Operations Management (LOM) Section. I have contributed considerably to curriculum development (e.g. Operations Analytics module) and have received awards for excellence in postgraduate teaching.

Teaching - Internationally

In addition to the UK, I have taught internationally in China, Colombia, Denmark, France, Greece, Italy and Latvia. All courses were in the areas of Operations Management, Operational Research (Management Science) and Applied Statistics.

Qualifications

2005 Postgraduate Certificate in Learning and Teaching in Higher Education, University of Salford, UK
2001-2003 Military Service – Greek National
2001 PhD in Operational Research, Brunel University, UK (academic scholarship and industrial sponsorship)
1996 MSc in Quality Management, Stirling University, UK
1995 Proficiency in Italian Language and Literature, Universita di Perugia, Italy
1994 Postgraduate Diploma in Quality and Statistical Control, EU, Socrates Initiative (Athens, Brussels, Nice) (academic scholarship)
1994 Proficiency in English Language and Literature, University of Cambridge, UK
1993 BSc (4 years) in Business Administration, University of Piraeus (formerly the Graduate School of Industrial Studies), Athens, Greece (scholarship granted through National Public University entry examinations).

Editorial work

Editor in Chief (2022 - ) – IMA Journal of Management Mathematics – IMAMAN (Oxford University Press, OUP)
Co-Editor in Chief (2009 - 2022) – IMAMAN (OUP)
Associate Editor (2006 - 2020) – Journal of the Operational Research Society – JORS (Taylor Francis)
Associate Editor (2013 - ) – FORESIGHT – International Institute of Forecasters (practitioner oriented publication)
Associate Editor (2007 - 2009) – IMAMAN (OUP)
Guest co-editor: IMAMAN. Special issue on ‘Forecasting for Inventory Management’, issue 2, 2008
Guest co-editor: JORS. Special issue on ‘Supply Chain Forecasting and Planning’, issue 3, 2011
Co-Editor (with D. Petrovic) of the Keynotes and Short Papers Handbook, The 53rd Conference of the UK Operational Research Society (OR 53), 2011, ISBN 0- 903440-49-0.
Guest co-editor: OMEGA. Special issue on ‘Forecasting in Management Science’, issue 6, 2012
Guest co-editor: OR INSIGHT. Special issue on Keynote papers from the OR 53, issue 3, 2012
Guest co-editor: IMAMAN. Special issue on Keynote papers from the OR 53, issue 4, 2013.
Guest co-editor: International Journal of Production Economics (IJPE). Special Issue on papers from the 19th International Symposium on Inventories Research (ISIR, 2016), volume 209, 2019.
Guest co-editor: IJPE. Special Issue on papers from the 20th International Symposium on Inventories Research (ISIR, 2018), 2020.
Guest co-editor: IJPE. Special Issue on papers from the 21st International Symposium on Inventories Research (ISIR, 2022), ongoing.

Professional memberships

Institute of Mathematics and its Applications (IMA, Fellow)
International Institute of Forecasters (IIF, Board of Directors, Elected Director, 2014-2022)
International Society for Inventory Research (ISIR, Executive Committee, Elected Chair: Inventory Forecasting Section, 2016-)
Committee of Professors In Operational Research (COPIOR, Elected Secretary, 2017-2021)
Operational Research Society (ORS, previously served (elected) in the General Council, 2011-2014)
Production & Operations Management Society (POMS)
Institute for Operations Research & Management Sciences (INFORMS)

I welcome PhD applications in any of the core areas of interest to me:

Statistical or judgmental supply chain forecasting
Inventory, and inventory inaccuracies, mathematical modelling and management
Analytical and conceptual unification of Inventory-Forecasting
Inventory Forecasting in: i) spare parts, ii) after sales, iii) retail, iv) close loop, or v) 3DP-enabled supply chains
Inventory (and/or) Forecasting for environmental sustainability: obsolescence reduction or elimination
Inventory (and/or) Forecasting for social good

Current supervision

Zhongtian Jin

Harsha Ruwan Chamara Halgamuwe Hewage

Contact Details

[email protected]
+44 29208 76572
Aberconway Building, Room C21, Colum Road, Cathays, Cardiff, CF10 3EU
sbarc|spark, Room 00.27, Maindy Road, Cathays, Cardiff, CF24 4HQ

Research themes

Specialisms

Economic models and forecasting
Business analytics
Operations research
Production and operations management
Planning and decision making

Professor Aris Syntetos is recognised for his pioneering work in supply chain forecasting and inventory management.

Professor Aris Syntetos BSc, MSc, DPhil, PGCert, FIMA, FAcadMathSci

Teams and roles for Aris Syntetos

Professor

Overview

Publication

2026

2025

2024

2023

2022

2021

2020

2019