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  • Search: subject:"Intelligent scheduling"
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Year of publication
Subject
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Scheduling problem 3 Scheduling-Verfahren 3 Algorithm 2 Algorithmus 2 Artificial intelligence 2 Intelligent scheduling 2 Künstliche Intelligenz 2 Learning 2 Lernen 2 Theorie 2 Theory 2 intelligent scheduling 2 A2C 1 Battery energy management and control 1 Cloud computing 1 Deep Reinforcement learning 1 Deep reinforcement learning 1 Fractional Knapsack strategy 1 Fuzzy logic prediction 1 Intelligent Scheduling 1 Intelligent battery energy management 1 Learning process 1 Lernprozess 1 Lieferkette 1 Logistics 1 Logistics optimization 1 Logistik 1 Manufacturing system 1 Medical waste supply chain 1 Parallel batch scheduling 1 Produktionssystem 1 Robust optimization 1 Simulation 1 Supply chain 1 Supply chain routing 1 Tourenplanung 1 Uncertain size 1 Vehicle routing problem 1 Vehicle to grid 1 deep reinforcement learning 1
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Online availability
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Undetermined 4 CC license 1 Free 1
Type of publication
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Article 5
Type of publication (narrower categories)
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Article in journal 3 Aufsatz in Zeitschrift 3 research-article 1
Language
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English 4 Undetermined 1
Author
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Abawajy, Jemal 1 Abdel‑Raouf, Osama 1 Bab-Hadiashar, Alireza 1 Dawam, Mohamed 1 Fan, Wenhui 1 Goscinski, Andrzej 1 Hadhoud, Mohiy 1 Javadi, Bahman 1 Kafafy, Ahmed 1 Khallaf, Norhan 1 Khayyam, Hamid 1 Lin, Tingyu 1 Shao, Xiaoling 1 Shi, Daming 1 Stojcevski, Alex 1 Wang, Ting 1 Xiao, Yingying 1 Xing, Chi 1 Xu, Zhigang 1 Yan, Xue 1 Yang, Shengluo 1
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Published in...
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International journal of production research 2 Applied Energy 1 Industrial Management & Data Systems 1 Supply chain analytics 1
Source
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ECONIS (ZBW) 3 RePEc 1 Other ZBW resources 1
Showing 1 - 5 of 5
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A deep reinforcement learning and fractional packing framework for routing and scheduling in healthcare waste supply chains
Khallaf, Norhan; Abdel‑Raouf, Osama; Hadhoud, Mohiy; … - In: Supply chain analytics 12 (2025), pp. 1-23
Artificial intelligence (AI) is increasingly utilized in healthcare logistics, including automated systems for collecting hazardous medical waste from hospitals under strict time and capacity constraints. This study compares three routing algorithms: (1) Google Maps Destination using an...
Persistent link: https://www.econbiz.de/10015607779
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Intelligent scheduling and reconfiguration via deep reinforcement learning in smart manufacturing
Yang, Shengluo; Xu, Zhigang - In: International journal of production research 60 (2022) 16, pp. 4936-4953
Persistent link: https://www.econbiz.de/10013500605
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A branch-and-price algorithm for robust parallel batch scheduling problem with uncertain size
Wang, Ting; Shao, Xiaoling; Yan, Xue - In: Industrial Management & Data Systems 122 (2022) 10, pp. 2351-2370
Purpose In intelligent scheduling, parallel batch processing can reasonably allocate production resources and reduce …
Persistent link: https://www.econbiz.de/10014826442
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Intelligent scheduling of discrete automated production line via deep reinforcement learning
Shi, Daming; Fan, Wenhui; Xiao, Yingying; Lin, Tingyu; … - In: International journal of production research 58 (2020) 11, pp. 3362-3380
Persistent link: https://www.econbiz.de/10012265402
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Intelligent battery energy management and control for vehicle-to-grid via cloud computing network
Khayyam, Hamid; Abawajy, Jemal; Javadi, Bahman; … - In: Applied Energy 111 (2013) C, pp. 971-981
predicting the load demand calculated in advance with regards to their limitations. Also it shows that the intelligent scheduling …
Persistent link: https://www.econbiz.de/10010702530
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