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Improving short-term demand forecasting for short-lifecycle consumer products with data mining techniques
Maaß, Dennis; Spruit, Marco René; Waal, Peter de - In: Decision Analytics 1 (2014), pp. 1-17
the retail industry. This new situation imposes stronger requirements on demand forecasting methods. Due to shorter … reliability of demand forecasting systems in order to utilize the full demand potential and avoid oversupply. This new situation … calls for forecasting methods that can handle large variance and complex relationships of demand factors. This research …
Persistent link: https://www.econbiz.de/10010338778
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The wisdom of crowds in forecasting at high-frequency for multiple time horizons : a case study of the Brazilian retail sales
Lopes, Gustavo - In: Revista Brasileira de Finanças : RBFin 20 (2022) 2, pp. 77-115
Persistent link: https://www.econbiz.de/10013257742
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Forecasting with temporally aggregated demand signals in a retail supply chain
Jin, Yao; Williams, Brent D.; Tokar, Travis; Waller, … - In: Journal of business logistics : JBL 36 (2015) 2, pp. 199-211
Persistent link: https://www.econbiz.de/10011482395
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Demand forecasting based on natural computing approaches applied to the foodstuff retail segment
Veiga, Claudimar Pereira da; Veiga, Cássia Rita Pereira da - In: Journal of retailing and consumer services 31 (2016), pp. 174-181
Persistent link: https://www.econbiz.de/10011528618
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Human-Artificial intelligence collaboration in prediction : a field experiment in the retail industry
Revilla, Elena; Sáenz, María Jesús; Seifert, Matthias; … - In: Journal of management information systems : JMIS 40 (2023) 4, pp. 1071-1098
Persistent link: https://www.econbiz.de/10014582243
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A novel approach to model selection in tourism demand modeling
Akın, Melda - In: Tourism management : research, policies, practice 48 (2015), pp. 64-73
Persistent link: https://www.econbiz.de/10010508442
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Forecasting the total non-coincidental monthly system peak demand in the Philippines : a comparison of seasonal autoregressive integrated moving average models and artificial neura...
Parreno, Samuel John - In: International Journal of Energy Economics and Policy : IJEEP 13 (2023) 5, pp. 544-552
Persistent link: https://www.econbiz.de/10014384462
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Demand forecasting using modelling and comparison of series and parallel structures of SARIMA and SMLP
Bahrami, Maryam; Khashei, Mehdi; Amindoust, Atefeh - In: International journal of process management and … 13 (2023) 2, pp. 282-301
Persistent link: https://www.econbiz.de/10014313808
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Forecasting US tourist arrivals using optimal singular spectrum analysis
Hassani, Hossein; Webster, Allan D.; Silva, Emmanuel Sirimal - In: Tourism management : research, policies, practice 46 (2015), pp. 322-335
Persistent link: https://www.econbiz.de/10010486219
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On the empirical performance of some new neural network methods for forecasting intermittent demand
Babai, M. Zied; Tsadiras, A.; Papadopoulos, C. - In: IMA journal of management mathematics 31 (2020) 3, pp. 281-305
Persistent link: https://www.econbiz.de/10012258678