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Bayesian forecasting of parts demand
Yelland, Phillip M. - In: International journal of forecasting 26 (2010) 2, pp. 374-396
Persistent link: https://www.econbiz.de/10003980389
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Using forecasts and managerial accounting information to enhance closed-loop supply chain management
Krapp, Michael; Nebel, Johannes; Sahamie, Ramin - In: OR spectrum : quantitative approaches in management 35 (2013) 4, pp. 975-1007
Persistent link: https://www.econbiz.de/10010222473
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Bayesian forecasting of demand time-series data with zero values
Corberán-Vallet, Ana; Bermúdez, José D.; Vercher, … - In: European journal of industrial engineering : EJIE 7 (2013) 6, pp. 777-796
Persistent link: https://www.econbiz.de/10010404219
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Workload forecasting of a logistic node using Bayesian neural networks
Nakilcioğlu, Emin Çağatay; Rizvanolli, Anisa; … - In: Changing tides : the new role of resilience and …, (pp. 237-264). 2022
Purpose: Traffic volume in empty container depots has been highly volatile due to external factors. Forecasting the expected container truck traffic along with having a dynamic module to foresee the future workload plays a critical role in improving the work efficiency. This paper studies the...
Persistent link: https://www.econbiz.de/10013435448
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A Bayesian decision model with hurricane forecast updates for emergency supplies inventory management
Taskin, Selda; Lodree Jr., Emmett J. - In: Journal of the Operational Research Society : OR 62 (2011) 6, pp. 1098-1108
Persistent link: https://www.econbiz.de/10009154359
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Vom Urknall zur Prognose : über den Einsatz innovativer Methoden aus der Spitzenforschung für Forecasting, automatische Disposition und Werbemittelsteuerung
Clasen, Mareike - In: Controlling im Handel : innovative Ansätze und …, (pp. 177-192). 2016
Persistent link: https://www.econbiz.de/10011556319
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Using Bayesian networks to forecast spares demand from equipment failures in a changing service logistics context
Boutselis, Petros; McNaught, K. R. - In: International journal of production economics 209 (2019), pp. 325-333
Persistent link: https://www.econbiz.de/10012013370
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A machine learning based approach for predicting blockchain adoption in supply Chain
Kamble, Sachin S.; Gunasekaran, Angappa; Kumar, Vikas; … - In: Technological forecasting & social change : an … 163 (2021), pp. 1-18
Persistent link: https://www.econbiz.de/10012665928
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A hitchhiker guide to empirical macro models
Canova, Fabio; Ferroni, Filippo - 2020
Persistent link: https://www.econbiz.de/10012321243
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A Bayesian dynamic compositional model for large density combinations in finance
Casarin, Roberto; Grassi, Stefano; Ravazzolo, Francesco; … - 2020
Persistent link: https://www.econbiz.de/10012384654