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We need to talk about intermittent demand forecasting

Nikolopoulos, Konstantinos - In: European journal of operational research : EJOR 291 (2021) 2, pp. 549-559

Persistent link: https://www.econbiz.de/10012495340

Impact of temporal aggregation on stock control performance of intermittent demand estimators : empirical analysis

Babai, M. Zied; Ali, Mohammad M.; Nikolopoulos, Konstantinos - In: Omega : the international journal of management science 40 (2012) 6, pp. 713-721

Persistent link: https://www.econbiz.de/10009531369

Forecasting supply chain sporadic demand with nearest neighbor approaches

Nikolopoulos, Konstantinos; Babai, M. Zied; Bozos, … - In: International journal of production economics 177 (2016), pp. 139-148

Persistent link: https://www.econbiz.de/10011503375

An empirical investigation of water consumption forecasting methods

Karamaziotis, Panagiotis I.; Raptis, Achilleas; … - In: International journal of forecasting 36 (2020) 2, pp. 588-606

Persistent link: https://www.econbiz.de/10012415297

Intermittent demand, inventory obsolescence, and temporal aggregation forecasts

Sanguri, Kamal; Patra, Sabyasachi; Nikolopoulos, … - In: International journal of production research 62 (2024) 5, pp. 1663-1685

Persistent link: https://www.econbiz.de/10014546261

Comparison of statistical and machine learning methods for daily SKU demand forecasting

Spiliotis, Evangelos; Makridakis, Spyros G.; … - In: Operational research : an international journal 22 (2022) 3, pp. 3037-3061

Persistent link: https://www.econbiz.de/10013445352

An aggregate-disaggregate intermittent demand approach (ADIDA) to forecasting : an empirical proposition and analysis

Nikolopoulos, K.; Syntetos, A. A.; Boylan, J. E.; … - In: Journal of the Operational Research Society : OR 62 (2011) 3, pp. 544-554

Persistent link: https://www.econbiz.de/10008936397

Empirical heuristics for improving intermittent demand forecasting

Petropoulos, Fotios; Nikolopoulos, Konstantinos; … - In: Industrial Management & Data Systems 113 (2013) 5, pp. 683-696

Purpose – Intermittent demand appears sporadically, with some time periods not even displaying any demand at all. Even so, such patterns constitute considerable proportions of the total stock in many industrial settings. Forecasting intermittent demand is a rather difficult task but of...

Persistent link: https://www.econbiz.de/10014824463

Feature-based intermittent demand forecast combinations : accuracy and inventory implications

Li, Li; Kang, Yanfei; Petropoulos, Fotios; Li, Feng - In: International journal of production research 61 (2023) 22, pp. 7557-7572

Persistent link: https://www.econbiz.de/10014383405

Another look at estimators for intermittent demand

Petropoulos, Fotios; Kourentzes, Nikolaos; … - In: International journal of production economics 181 (2016), pp. 154-161

Persistent link: https://www.econbiz.de/10011619257