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Trends and applications of machine learning in water supply networks management
Robles-Velasco, Alicia; Muñuzuri, Jesús; Onieva, Luis; … - In: Journal of industrial engineering and management : JIEM 14 (2021) 1, pp. 45-54
Purpose: This study describes the trends and applications of machine learning systems in the management of water supply networks. Machine learning is a field in constant development, and it has a great potential and capability to attain improvements in real industries. The recent tendency of...
Persistent link: https://www.econbiz.de/10012421679
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A hybrid multi-objective immune algorithm for predictive and reactive scheduling
Paprocka, Iwona; Skołud, Bożena - In: Journal of scheduling 20 (2017) 2, pp. 165-182
Persistent link: https://www.econbiz.de/10011691575
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Optimal Movie Schedule and Prediction
Edet, Samuel - 2017
viable economic sector. It becomes imperative for media professionals to come up with more proficient ways of scheduling … movies, and predicting performance of movies, so as to maximize their earning capacity. In this article, the movie scheduling …
Persistent link: https://www.econbiz.de/10014120491
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Boosting ant colony optimization via solution prediction and machine learning
Sun, Yuan; Wang, Sheng; Shen, Yunzhuang; Li, Xiaodong; … - In: Computers & operations research : and their … 143 (2022), pp. 1-16
Persistent link: https://www.econbiz.de/10013343259
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Prognosen und Segmentierung in der Supply Chain : ein Vorgehensmodell zur Reduktion der Unsicherheit
Schneckenburger, Thomas - 2000
Persistent link: https://www.econbiz.de/10001518749
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Demand forecasting, lot sizing and scheduling on a rolling horizon basis
Tiacci, Lorenzo; Saetta, Stefano - In: International journal of production economics 140 (2012) 2, pp. 803-814
Persistent link: https://www.econbiz.de/10009682508
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Scheduling and short-term demand forecasting in an on-demand ride service industry
Adhyapak, Ritesh - In: International journal of services and operations … 40 (2021) 4, pp. 459-477
Persistent link: https://www.econbiz.de/10012800815
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A literature review on robust and real-time models for cross-docking
Torbali, Bilge; Alpan, Gülgün - In: International journal of production research 61 (2023) 7, pp. 2372-2401
Persistent link: https://www.econbiz.de/10014230807
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A novel virtual machine scheduling policy based on performance prediction model
Liu, Dongbo; Li, Yongjian - In: International journal of networking and virtual … 18 (2018) 4, pp. 279-293
Persistent link: https://www.econbiz.de/10011961415
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The impact of lead time compression on demand forecasting risk and production cost : a newsvendor model
Jian, Ming; Fang, Xin; Jin, Liu-qian; Rajapov, Azamat - In: Transportation research / E : an international journal 84 (2015), pp. 61-72
Persistent link: https://www.econbiz.de/10011420032