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Mechanisms to induce buyer forecasting : do suppliers always benefit from better forecasting?

Amornpetchkul, Thunyarat; Duenyas, Izak; Sahin, Ozge - In: Production and operations management : an international … 24 (2015) 11, pp. 1724-1749

Persistent link: https://www.econbiz.de/10011411912

Forecasting of compound Erlang demand

Syntetos, Aris A.; Babai, M. Zied; Luo, Shuxin - In: Journal of the Operational Research Society : OR 66 (2015) 12, pp. 2061-2074

Persistent link: https://www.econbiz.de/10011419806

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 integrated approach to forecasting intermittent demand for electric power materials

Jiang, Aiping; Chi, Qiuguo; Gao, Junjun; Wu, Maoguo - In: Computational economics 53 (2019) 4, pp. 1309-1335

Persistent link: https://www.econbiz.de/10012135133

Considerations of a retail forecasting practitioner

Seaman, Brian - In: International journal of forecasting 34 (2018) 4, pp. 822-829

Persistent link: https://www.econbiz.de/10012031119

Demand forecasting with four-parameter exponential smoothing

Ferbar Tratar, Liljana; Mojškerc, Blaž; Tomas, Aleš - In: International journal of production economics 181 (2016), pp. 162-173

Persistent link: https://www.econbiz.de/10011619274

On the calculation of safety stocks when demand is forecasted

Prak, Dennis; Teunter, Ruud H.; Syntetos, Aris - In: European journal of operational research : EJOR 256 (2017) 2, pp. 454-461

Persistent link: https://www.econbiz.de/10011612012

An iterative method for forecasting most probable point of stochastic demand

Behnamian, J.; Fatemi Ghomi, S. M. T.; Karimi, B.; … - In: Journal of industrial engineering international 10 (2014), pp. 1-9

The demand forecasting is essential for all production and non-production systems. However, nowadays there are only few researches on this area. Most of researches somehow benefited from simulation in the conditions of demand uncertainty. But this paper presents an iterative method to find most...

Persistent link: https://www.econbiz.de/10011556537

GEFCom2012 : electric load forecasting and backcasting with semi-parametric models

Nedellec, Raphael; Cugliari, Jairo; Goude, Yannig - In: International journal of forecasting 30 (2014) 2, pp. 375-381

Persistent link: https://www.econbiz.de/10010510898

A refined parametric model for short term load forecasting

Charlton, Nathaniel; Singleton, Colin - In: International journal of forecasting 30 (2014) 2, pp. 364-368

Persistent link: https://www.econbiz.de/10010510901

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