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Effects of forecast errors on optimal utilisation in aggregate production planning with stochastic customer demand
Altendorfer, Klaus; Felberbauer, Thomas; Jodlbauer, Herbert - In: International journal of production research 54 (2016) 11/12, pp. 3718-3735
Persistent link: https://www.econbiz.de/10011497701
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Order release planning with predictive lead times : a machine learning approach
Schneckenreither, Manuel; Haeussler, Stefan; Gerhold, … - In: International journal of production research 59 (2021) 11, pp. 3285-3303
Persistent link: https://www.econbiz.de/10012589150
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Rolling horizon, multi-product production planning with chance constraints and forecast evolution for wafer fabs
Ziarnetzky, Timm; Mönch, Lars; Uzsoy, Reha - In: International journal of production research 56 (2018) 18, pp. 6112-6134
Persistent link: https://www.econbiz.de/10011946801
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Prognose sporadischer Nachfragen : ein Verfahrensvergleich
Speckenbach, Jan - 2017 - 1. Auflage
Persistent link: https://www.econbiz.de/10011653528
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A Class of Adaptive Importance Sampling Weighted EM Algorithms for Efficient and Robust Posterior and Predictive Simulation
Hoogerheide, Lennart F. - 2012
A class of adaptive sampling methods is introduced for efficient posterior and predictive simulation. The proposed … approximation problem, which facilitates the application of adaptive importance sampling for posterior simulation in more complex …
Persistent link: https://www.econbiz.de/10013108670
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Developing a flexible manufacturing control system considering mixed uncertain predictive maintenance model : a simulation-based optimization approach
Shahbazi, Behrooz; Rahmati, Habib A. - In: Operations research forum 2 (2021) 4, pp. 1-43
Persistent link: https://www.econbiz.de/10012663056
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Simulation of Micropollutant Behaviour in Forward Osmosis Membrane-Based Process Using Machine Learning Algorithms
Viet, Nguyen Duc; Jang, Am - 2022
Simulation of the MP behaviour in forward osmosis (FO) membrane-based processes may provide a better understanding and …
Persistent link: https://www.econbiz.de/10013303209
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Employing a generalized reduced gradient algorithm method to form combinations of steel price forecasts generated separately by ARIMA-TF and ANN models
Terregrossa, Salvatore Joseph; Şener, Uğur - In: Cogent economics & finance 11 (2023) 1, pp. 1-25
target variable (steel price) movement. A generalized reduced gradient algorithm (GRG) method is employed to estimate the … comparisons are made. The study finds that the combining model formed with the gradient algorithm approach in which the weights … generated by a constrained generalized reduced gradient algorithm (GRG) method. …
Persistent link: https://www.econbiz.de/10014500535
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Production planning forecasting method selection in a supply chain : a case study
Dweiri, Fikri; Khan, Sharfuddin Ahmed; Jain, Vipul - In: International journal of applied management science 7 (2015) 1, pp. 38-58
Persistent link: https://www.econbiz.de/10011443781
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Multi-dimensional clearing functions for aggregate capacity modelling in multi-stage production systems
Albey, Erinc; Bilge, Ümit; Uzsoy, Reha - In: International journal of production research 55 (2017) 13/14, pp. 4164-4179
Persistent link: https://www.econbiz.de/10011671668