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Deep reinforcement learning for scheduling semiconductor cluster tools in varying configurations [PDF]
Scientific ReportsTraditional rule-based cluster tool scheduling in semiconductor manufacturing faces significant limitations, including inflexibility, reliance on domain-specific expertise, and suboptimal performance in dynamic and complex environments.
Jongwon Choi, Seoung Bum Kim
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GA-HPO PPO: A Hybrid Algorithm for Dynamic Flexible Job Shop Scheduling [PDF]
SensorsThe Job Shop Scheduling Problem (JSP), a classical NP-hard challenge, has given rise to various complex extensions to accommodate modern manufacturing requirements. Among them, the Dynamic Flexible Job Shop Scheduling Problem (DFJSP) remains particularly
Yiming Zhou +6 more
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Deep learning optimization of teaching schedules in sports dance education [PDF]
Scientific ReportsThe increasing complexity of scheduling in sports dance education presents challenges such as conflicts in instructor availability, inefficient class assignments, and the need for personalized training plans. Traditional scheduling methods, which rely on
GongMei Zhao +3 more
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Complex System Modeling and Simulation, 2022 With the popularization of multi-variety and small-batch production patterns, the flexible job shop scheduling problem (FJSSP) has been widely studied. The sharing of processing resources by multiple machines frequently occurs due to space constraints in
Zhen Chen +3 more
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IEEE Access, 2022 The apparent tardiness cost (ATC) is a dispatching rule that demonstrates excellent performance in minimizing the total weighted tardiness (TWT) in single-machine scheduling. The ATC rule’s performance is dependent on the lookahead parameter of an
Byungwook Min, Chang Ouk Kim
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Real-Time Hybrid Flow Shop Scheduling Approach in Smart Manufacturing Environment
Complex System Modeling and Simulation, 2021 Smart manufacturing in the “Industry 4.0” strategy promotes the deep integration of manufacturing and information technologies, which makes the manufacturing system a ubiquitous environment.
Xiuli Wu, Zheng Cao, Shaomin Wu
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Jurnal Nasional Teknik Elektro, 2016 Mobile telecommunications technology gradually evolved to support better services such as voice, data, and video to users of telecommunications services.
Ridwan . +2 more
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Applied Sciences, 2023 Production scheduling in a knitting workshop is an important method to improve production efficiency, reduce costs and improve service. In order to achieve a reasonable allocation of parallel machines as well as cooperation between different machines ...
Lei Sun +5 more
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Water Science and Engineering, 2012 Power generation dispatching is a large complex system problem with multi-dimensional and nonlinear characteristics. A mathematical model was established based on the principle of reservoir operation. A large quantity of optimal scheduling processes were
Wei Xie +3 more
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Multi-Objective Order Scheduling via Reinforcement Learning
Algorithms, 2023 Order scheduling is of a great significance in the internet and communication industries. With the rapid development of the communication industry and the increasing variety of user demands, the number of work orders for communication operators has grown
Sirui Chen, Yuming Tian, Lingling An
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