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首页> 外文期刊>IEEE transactions on industrial informatics >Service Optimization of Production Process of Polyester Fiber Based on Immune and Endocrine Regulation Algorithm
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Service Optimization of Production Process of Polyester Fiber Based on Immune and Endocrine Regulation Algorithm

机译：基于免疫和内分泌调节算法的聚酯纤维生产过程的服务优化

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摘要

A service optimization method for polyester fiber production process is proposed. According to the production batch and production specifications, the method considers the service cost as the optimization objective, and uses data model to determine the specific process parameters in the polyester fiber production process. First, two options for the overall process of polyester fiber are introduced: on-demand manufacturing and product development. Second, the impact of different batch request tasks on the performance index of each stage is determined. Finally, the service optimization measures of different batches are proposed. By comparing the similarity between the current data samples and the overall data, the optimal production plan of the overall production process is formed. Simulation results show that the immune algorithm inspired from endocrine regulation has the best performance on the optimal decision-making combination, which is helpful for the development of new polyester products. We investigate how to reduce energy consumption of system resources, and how to choose the best service from a large number of candidate services. In the overall polyester fiber production process, users are not only consumers, but also designers and producers, achieving the real "integration of production and consumption".
机译：提出了一种用于聚酯纤维生产过程的服务优化方法。根据生产批量和生产规范，该方法认为服务成本作为优化目标，并使用数据模型来确定聚酯纤维生产过程中的特定过程参数。首先，介绍了两种用于整体过程的选项：按需制造和产品开发。其次，确定不同批量请求任务对每个阶段的性能索引的影响。最后，提出了不同批次的服务优化措施。通过比较当前数据样本与整体数据之间的相似性，形成了整体生产过程的最佳生产计划。仿真结果表明，激发内分泌调节的免疫算法在最佳决策组合上具有最佳性能，这有助于开发新的涤纶产品。我们调查如何降低系统资源的能耗，以及如何从大量候选服务中选择最佳服务。在整体聚酯纤维生产过程中，用户不仅是消费者，还是设计师和生产者，实现了真正的“整合生产和消费”。

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