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• W2920031719 abstract "More and more backplane manufacturing industries need a customized pilot production scheme that can produce various sizes of backplanes to support the innovation service of the user-oriented design. The deterministic model of the customized pilot production scheme, which utilizes binary variables and branch-and-bound scheme, can obtain the global optimization; however, this model is hard to solve due to the numerous binary variables and the unbalanced branch-and-bound tree. This study adopted a novel incremental encoding formulation to conquer the unbalanced branch-and-bound issue and a range reduction technique to reduce the required number of binary variables in the proposed model. The proposed model has a faster computation speed compared with the original deterministic model. Numerical experiments further confirmed that the proposed model could obtain a global optimization within a reasonable time for all converged instances of the backplane manufacturing industry and benchmark datasets." @default.
• W2920031719 created "2019-03-11" @default.
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• W2920031719 creator A5034364128 @default.
• W2920031719 creator A5076216145 @default.
• W2920031719 date "2019-07-01" @default.
• W2920031719 modified "2023-10-18" @default.
• W2920031719 title "Deterministic model for customized pilot manufacture production with various backplane sizes" @default.
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• W2920031719 doi "https://doi.org/10.1016/j.apm.2019.02.034" @default.
• W2920031719 hasPublicationYear "2019" @default.
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