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- W2375109403 abstract "Machinery industry enterprise as research background, this paper analyzed the feature of production scheduling for discrete manufacturing and proposed the collaborative multi-objective optimization problem. Based on the improved Taguchi loss function, nonlinear relationship of quality, delivery and cost was established. And the multi-objective collaborative optimization model of production scheduling was created as well as synthetically considering of discrete constraints. The effective solution was studied to solve the model integrating simulation modeling and genetic algorithm. Further, through the enterprise empirical study, the practicability and validity of the model and algorithm is verified. This study will improve the synergy degree among quality, delivery and cost three goals, and provide an effective theoretical method of production schedule for the discrete manufacturing." @default.
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- W2375109403 date "2015-01-01" @default.
- W2375109403 modified "2023-09-23" @default.
- W2375109403 title "Multi-objective Collaborative Optimization of Production Scheduling for Discrete Manufacturing" @default.
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- W2375109403 doi "https://doi.org/10.2991/978-94-6239-102-4_20" @default.
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