Aris Syntetos

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John BoylanProfessor of Business Analytics, Lancaster UniversityVerified email at lancaster.ac.uk
Mohamed Zied BABAIkedge business schoolVerified email at kedgebs.com
R.H. TeunterUniversity of GroningenVerified email at rug.nl
Dr Konstantinos (Kostas/Gus) Nikolop...Professor in Business Information Systems & Analytics, Durham UniversityVerified email at durham.ac.uk
NaimCardiff Business School, Cardiff UniversityVerified email at cf.ac.uk
Dr. Mohammad M AliCoventry UniversityVerified email at coventry.ac.uk
Bahman Rostami-TabarProfessor, Cardiff UniversityVerified email at cardiff.ac.uk
Yacine RekikProfessor, ESCP Business SchoolVerified email at escp.eu
Robert FildesCentre for Marketing Analytics and Forecasting, Lancaster UniversityVerified email at lancaster.ac.uk
Shixuan WangAssociate Professor in Economics, University of ReadingVerified email at reading.ac.uk
Stephen DisneyUniversity of Exeter Business SchoolVerified email at exeter.ac.uk
Phil ScarfCardiff UniversityVerified email at cardiff.ac.uk
Stephan KolassaData Science Expert, SAP AGVerified email at sap.com
Borja PonteUniversity of OviedoVerified email at uniovi.es
Nicola SaccaniAssociate Professor, RISE Laboratory - University of Brescia (Italy)Verified email at unibs.it
Dennis PrakAssistant ProfessorVerified email at utwente.nl
Paul GoodwinUniversity of BathVerified email at bath.ac.uk
Fotios PetropoulosProfessor of Management Science, University of BathVerified email at bath.ac.uk
Vassilios (Vassilis) AssimakopoulosProfessor, National Technical University of Athens, GreeceVerified email at fsu.gr
Andrea BacchettiPhD, researcher - University of BresciaVerified email at unibs.it

Aris Syntetos

Professor of Decision Science, DSV Chair, Cardiff University

Verified email at cardiff.ac.uk - Homepage

Management Science Operations Research Operations Management


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Forecasting: theory and practice F Petropoulos, D Apiletti, V Assimakopoulos, MZ Babai, DK Barrow, ... International Journal of Forecasting 38 (3), 705-871, 2022	811	2022
The accuracy of intermittent demand estimates AA Syntetos, JE Boylan International Journal of forecasting 21 (2), 303-314, 2005	674	2005
On the categorization of demand patterns AA Syntetos, JE Boylan, JD Croston Journal of the operational research society 56 (5), 495-503, 2005	628	2005
On the bias of intermittent demand estimates AA Syntetos, JE Boylan International journal of production economics 71 (1-3), 457-466, 2001	542	2001
Forecasting and operational research: a review R Fildes, K Nikolopoulos, SF Crone, AA Syntetos Journal of the Operational Research Society 59 (9), 1150-1172, 2008	374	2008
Supply chain forecasting: Theory, practice, their gap and the future AA Syntetos, Z Babai, JE Boylan, S Kolassa, K Nikolopoulos European Journal of Operational Research 252 (1), 1-26, 2016	367	2016
ABC classification: service levels and inventory costs RH Teunter, MZ Babai, AA Syntetos Production and Operations Management 19 (3), 343-352, 2010	338	2010
Intermittent demand: Linking forecasting to inventory obsolescence RH Teunter, AA Syntetos, MZ Babai European Journal of Operational Research 214 (3), 606-615, 2011	333	2011
Classification for forecasting and stock control: a case study JE Boylan, AA Syntetos, GC Karakostas Journal of the operational research society 59 (4), 473-481, 2008	308	2008
Spare parts management: a review of forecasting research and extensions JE Boylan, AA Syntetos IMA journal of management mathematics 21 (3), 227-237, 2010	247	2010
On the stock control performance of intermittent demand estimators AA Syntetos, JE Boylan International Journal of Production Economics 103 (1), 36-47, 2006	223	2006
Forecasting for inventory planning: a 50-year review AA Syntetos, JE Boylan, SM Disney Journal of the Operational Research Society 60 (sup1), S149-S160, 2009	201	2009
An aggregate–disaggregate intermittent demand approach (ADIDA) to forecasting: an empirical proposition and analysis K Nikolopoulos, AA Syntetos, JE Boylan, F Petropoulos, ... Journal of the Operational Research Society 62 (3), 544-554, 2011	199	2011
Demand categorisation in a European spare parts logistics network AA Syntetos, M Keyes, MZ Babai International journal of operations & production management 29 (3), 292-316, 2009	187	2009
The effects of integrating management judgement into intermittent demand forecasts AA Syntetos, K Nikolopoulos, JE Boylan, R Fildes, P Goodwin International journal of production economics 118 (1), 72-81, 2009	175	2009
Forecasting intermittent inventory demands: simple parametric methods vs. bootstrapping AA Syntetos, MZ Babai, ES Gardner Jr Journal of Business Research 68 (8), 1746-1752, 2015	166	2015
Judging the judges through accuracy-implication metrics: The case of inventory forecasting AA Syntetos, K Nikolopoulos, JE Boylan International Journal of Forecasting 26 (1), 134-143, 2010	155	2010
Supply chain forecasting when information is not shared MM Ali, MZ Babai, JE Boylan, AA Syntetos European Journal of Operational Research 260 (3), 984-994, 2017	151	2017
Spare parts demand: Linking forecasting to equipment maintenance W Wang, AA Syntetos Transportation Research Part E: Logistics and Transportation Review 47 (6 …, 2011	149	2011
Forecasting and inventory performance in a two-stage supply chain with ARIMA (0, 1, 1) demand: Theory and empirical analysis MZ Babai, MM Ali, JE Boylan, AA Syntetos International Journal of Production Economics 143 (2), 463-471, 2013	143	2013

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