Results 11 to 20 of about 5,322,533 (364)
Dynamic Windows Scheduling with Reallocation [PDF]
ACM Journal of Experimental Algorithmics, 2014 We consider the Windows Scheduling (WS) problem, which is a restricted version of Unit-Fractions Bin Packing, and it is also called Inventory Replenishment in the context of Supply Chain. In brief, WS problem is to schedule the use of communication channels to clients. Each client c i
Farach-Colton, Martín +3 more
openaire +4 more sources
A Reinforcement Learning Approach to Dynamic Scheduling in a Product-Mix Flexibility Environment
IEEE Access, 2020 Machine bottlenecks, resulting from shifting and unbalanced machine loads caused by resource capacity limitations, impair product-mix flexibility production systems.
Yeou-Ren Shiue +2 more
doaj +2 more sources
Energies, 2020 In this paper, the optimal dynamic scheduling of electric vehicles (EVs) in a parking lot (PL) is proposed to minimize the charging cost. In static scheduling, the PL operator can make the optimal scheduling if the demand, arrival, and departure time of ...
George S. Fernandez +6 more
doaj +2 more sources
Energies, 2022 The high penetration of electric vehicles (EVs) will burden the existing power delivery infrastructure if their charging and discharging are not adequately coordinated.
Qin Chen, Komla Agbenyo Folly
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Dynamic Scheduling for Over-the-Air Federated Edge Learning With Energy Constraints [PDF]
IEEE Journal on Selected Areas in Communications, 2021 Machine learning and wireless communication technologies are jointly facilitating an intelligent edge, where federated edge learning (FEEL) is emerging as a promising training framework.
Yuxuan Sun +3 more
semanticscholar +1 more source
Dynamic Scheduling and Optimization of AGV in Factory Logistics Systems Based on Digital Twin
Applied Sciences, 2023 At present, discrete workshops demand higher transportation efficiency, but the traditional scheduling strategy of the logistics systems can no longer meet the requirements. In a transportation system with multiple automated guided vehicles (multi-AGVs),
Shiqi Wu +4 more
semanticscholar +1 more source
Dynamic Scheduling for Large-Scale Flexible Job Shop Based on Noisy DDQN
International Journal of Network Dynamics and Intelligence, 2023 Article Dynamic Scheduling for Large-Scale Flexible Job Shop Based on Noisy DDQN Tingjuan Zheng 1,2, Yongbing Zhou 1, Mingzhu Hu 1, and Jian Zhang 1,* 1 Institute of Advanced Design and Manufacturing, School of Mechanical Engineering Southwest ...
Tingjuan Zheng +3 more
semanticscholar +1 more source
A Human-Centered Dynamic Scheduling Architecture for Collaborative Application [PDF]
IEEE Robotics and Automation Letters, 2021 In collaborative robotic applications, human and robot have to work together during a whole shift for executing a sequence of jobs. The performance of the human robot team can be enhanced by scheduling the right tasks to the human and the robot.
Andrea Pupa, W. van Dijk, C. Secchi
semanticscholar +1 more source
Mathematics, 2021 Intelligent manufacturing is the trend of the steel industry. A cyber-physical system oriented steel production scheduling system framework is proposed. To make up for the difficulty of dynamic scheduling of steel production in a complex environment and ...
Xiaowu Chen +4 more
doaj +1 more source
Dynamic Scheduling Optimization of Production Workshops Based on Digital Twin
Applied Sciences, 2022 Production scheduling is the key to manufacturing process decision support, which directly affects the efficiency and competitiveness of enterprises. The production process of discrete workshops is complex and changeable, and it is usually difficult to ...
Guozhi Ding, Shiyao Guo, Xiaohui Wu
semanticscholar +1 more source