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Deep learning with long short-term memory networks and random forests for demand forecasting in multi-channel retail

Punia, Sushil; Nikolopoulos, Konstantinos; Singh, Surya … - In: International journal of production research 58 (2020) 16, pp. 4964-4979

Persistent link: https://www.econbiz.de/10012266114

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

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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

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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

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"Horses for courses" in demand forecasting

Petropoulos, Fotios; Makridakis, Spyros G.; … - In: European journal of operational research : EJOR 237 (2014) 1, pp. 152-163

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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

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An empirical investigation of water consumption forecasting methods

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

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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

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The effects of integrating management judgement into intermittent demand forecasts

Syntetos, Aris A.; Nikolopoulos, Konstantinos; Boylan, … - In: International journal of production economics 118 (2009) 1, pp. 72-81

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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