Dynamic Intelligent Scheduling in Low-Carbon Heterogeneous Distributed Flexible Job Shops with Job Insertions and Transfers. [PDF]
Chen Y, Liao X, Chen G, Hou Y.
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Learning dispatching rules via novel genetic programming with feature selection in energy-aware dynamic job-shop scheduling. [PDF]
Sitahong A +5 more
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Energy-aware flexible job shop scheduling under time-of-use pricing with renewable, battery storage and preventive maintenance. [PDF]
Zahid A +4 more
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Urgent samples in clinical laboratories: stochastic batching to minimize patient turnaround time. [PDF]
Novak A, Gnatowski A, Sucha P.
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Evaluating the Impact of the Level of Robustness in Operating Room Scheduling Problems. [PDF]
Addis B, Carello G, Tanfani E.
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What predicts adolescents' mathematics anxiety in the Middle East and North Africa? An interpretable machine learning analysis of six Arab education systems in PISA 2022. [PDF]
Allohibi O.
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A multi-objective brain storm optimization for integrated distributed flexible job shop and distribution problems. [PDF]
Jia Y, Zhou Y, Fu Y.
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Energy-efficient scheduling of AGV-assisted robotic flexible flowshops under learning and processing time uncertainty. [PDF]
Dehnavi S, Mokhtari H, Rezvan MT.
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Using a two-stage D-Optimal mode to select equipment for flexible manufacturing systems. [PDF]
Yu X, Mi J, Liu J, Long L, Li X, Mo Q.
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Adaptive crayfish optimization algorithm for multi-objective scheduling optimization in distributed production workshops. [PDF]
Yang X, Yang X, Du J.
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