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• W2022233621 abstract "This paper focuses on minimizing printed circuit board (PCB) assembly time for a chip shooter machine, which has a movable feeder carrier holding components, a movable X–Y table carrying a PCB, and a rotary turret with multiple assembly heads. The assembly time of the machine depends on two inter-related optimization problems: the component sequencing problem and the feeder arrangement problem. Nevertheless, they were often regarded as two individual problems and solved separately. This paper proposes two complete mathematical models for the integrated problem of the machine. The models are verified by two commercial packages. Finally, a hybrid genetic algorithm previously developed by the authors is presented to solve the model. The algorithm not only generates the optimal solutions quickly for small-sized problems, but also outperforms the genetic algorithms developed by other researchers in terms of total assembly time." @default.
• W2022233621 created "2016-06-24" @default.
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• W2022233621 date "2010-01-01" @default.
• W2022233621 modified "2023-09-25" @default.
• W2022233621 title "Integrated component scheduling models for chip shooter machines" @default.
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• W2022233621 doi "https://doi.org/10.1016/j.ijpe.2009.05.029" @default.
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