A Syntetos

Professor of Operational Research and Operations Management

Business School

Statistical Forecasting, Inventory Management, Supply Chain Modelling

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Latest Additions

  1. Bacchetti, A, Plebani, R, Saccani, N and Syntetos, A 'Spare parts classification and inventory management: a case study' , Salford Business School Working Papers Series, 408/11 .
  2. Heinecke, G, Syntetos, A and Wang, W 2012, 'Forecasting-based SKU classification' , International Journal of Production Economics . (In Press)
  3. Ali, M, Boylan, J.E. and Syntetos, A 2012, 'Forecast errors and inventory performance under forecast information sharing' , International Journal of Forecasting . (In Press)
  4. Syntetos, A, Babai, MZ and Altay, N 2011, 'On the demand distributions of spare parts' , International Journal of Production Research . (In Press)
  5. 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.
  6. Babai, MZ, Ali, M, Boylan, JE and Syntetos, A 2012, 'Forecasting and inventory performance for a two-stage supply chain with ARIMA (0,1,1) demand: Theory and empirical analysis' , International Journal of Production Economics . (In Press)
  7. Teunter, R, 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.
  8. Teunter, R, Syntetos, A and Babai, M.Z. 2011, 'Intermittent demand: linking forecasting to inventory obsolescence' , European Journal of Operational Research, 214 (3) , pp. 606-615.
  9. Strijbosch, LWG, Syntetos, A, Boylan, JE and Janssen, E 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. Nikolopoulos, K, Syntetos, A, Boylan, JE, Petropoulos, F and Assimakopoulos, V 2011, '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.