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基於分步遺傳算法的壓力變送器排產優化

Optimization of Pressure Transmitter Production Scheduling Based on Step by Step Genetic Algorithm

  • 摘要: 以某廠壓力變送器的生產為應用研究背景,分析生產工序瓶頸,提出並實現了可優化變送器生產調度問題的分步分層遺傳算法。首先構建了車間生產的數學模型,並根據傳感器部件的量程分類分別進行種群初始化,然後采用哈希除去余數法進行插入整合🍆,再基於工序和訂單數量的標識編碼方式進行分層分步遺傳算法優化👚。仿真分析證明該算法不但降低了開放式車間的排產復雜度,而且相對於原先基於整體訂單先交貨先生產的排產策略🫳🏿,減少生產時間🤾🏿‍♀️,提高了生產效率🚔🧎‍♀️。

     

    Abstract: Based on the production of pressure transmitter in a factory as research and application background, building the model that based on the bottleneck analysis of production process, a stepwise hierarchical genetic algorithm based on whether the semi-finished products could be sold and bottleneck process is proposed, to solve the production scheduling problem of pressure transmitter. First, build a mathematical model of workshop production. It was proposed to initialize the population with special precision devices and ordinary precision devices respectively. Then Hash was used to remove the remainder method to insert integration. Then, the hierarchical and stepwise genetic algorithm was applied to identify the coding mode based on the number of processes and orders, which reduces the production complexity of the open shop and obtains the production sequence and total time which meet the production constraints. Compared with the factory based on the overall order, sorted by delivery time, the production time had been improved, and the original production efficiency has been improved.

     

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