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A methodology based on evolutionary algorithms to solve a dynamic pickup and delivery problem under a hybrid predictive control approach
Muñoz-Carpintero, Diego; Sáez, Doris; Cortés, Cristian E. - In: Transportation science : a journal of the Institute for … 49 (2015) 2, pp. 239-253
Persistent link: https://www.econbiz.de/10011287514
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Supervised learning for arrival time estimations in restaurant meal delivery
Hildebrandt, Florentin D.; Ulmer, Marlin Wolf - In: Transportation science 56 (2022) 4, pp. 1058-1084
Persistent link: https://www.econbiz.de/10013365649
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Bayesian Forecasting for Automobile Parts using Stochastic Simulation
Muñoz, David - 2010
This article presents the development and application of a simulation model that was used to forecast the demand of …, how stochastic simulation and Bayesian statistics can be combined to model and solve complex forecasting problems. The …
Persistent link: https://www.econbiz.de/10013148043
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A novel hybrid artificial intelligence-based decision support framework to predict lead time
Dosdoğru, Ayşe Tuğba; İpek, Aslı Boru; Göçken, … - In: International journal of logistics : research and … 24 (2021) 3, pp. 261-279
Persistent link: https://www.econbiz.de/10012515883
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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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Necessity of future information in admission control
Xu, Kuang - In: Operations research 63 (2015) 5, pp. 1213-1226
Persistent link: https://www.econbiz.de/10011397828
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Managing information and supplies inventory operations in a manufacturing environment : part 2 ; an order-timing and sizing algorithm
Baker, Tim; Jayaraman, Vaidyanathan - In: International journal of production research 50 (2012) 7, pp. 1767-1779
Persistent link: https://www.econbiz.de/10009563801
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Collusion by algorithm: the role of unobserved actions
Martin, Simon; Rasch, Alexander - 2022
We analyze the effects of better algorithmic demand forecasting on collusive profits. We show that the comparative statics crucially depend on the whether actions are observable. Thus, the optimal antitrust policy needs to take into account the institutional settings of the industry in question....
Persistent link: https://www.econbiz.de/10013093034