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- W2889073399 abstract "Aiming at the sequencing optimization problem in the mixed-model assembly line, a sequencing model is built while concerning different cost of workers in idle/overload time. Minimizing simultaneously total idle/overloaded cost as well as total product set-up time is considered as optimization objective. Moreover, a new and improved particle swarm optimization (PSO) algorithm is proposed to build the model. In the algorithm, the initial population distribution is introduced into the reverse learning optimization, which can improve the search efficiency. The specific example showed that improved PSO algorithm can effectively solve the problem about mixed-model assembly lines sequencing." @default.
- W2889073399 created "2018-09-07" @default.
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- W2889073399 date "2017-12-01" @default.
- W2889073399 modified "2023-09-27" @default.
- W2889073399 title "Sequencing Optimization of Mixed-Model Assembly Line for Considering Time and Cost" @default.
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- W2889073399 doi "https://doi.org/10.1109/iccsec.2017.8446933" @default.
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