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Two-stage Collaborative Scheduling of Casting Production Line Based on Hybrid Parallel Chaotic Optimization Algorithm
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    Abstract:

    An efficient production scheduling strategy is an important means for foundry companies to improve production efficiency and reduce production costs. At present,the related research on the optimization scheduling of casting production is usually carried out separately for the two stages of smelting casting processing and machining,which restricts the effect of the optimization scheduling of the whole process of the casting production line. Aiming at the collaborative scheduling problem of smelting,casting and machining in the production process of the foundry production line,an optimized scheduling model for the whole process of the foundry production line with the goal of minimizing the total completion time was established. In order to effectively solve the change scheduling model,a hybrid parallel chaos optimization algorithm(HPCOA) is proposed. In HPCOA,parallel chaotic search is designed for efficient global search,and variable neighborhood search based on critical path is introduced to enhance the local search capability of the algorithm. Through comparative experiments in actual cases,the effectiveness of the HPCOA algorithm is proved.

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  • Received:
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  • Online: November 11,2021
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