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Cognitive Self-Optimization in Industrial Assembly

机译:在工业组装中的认知自我优化

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Modern day production has to overcome a polylemma – the gaps between economies of scale and scope as well as between economies of plan and value. Due to shorter product lifecycles and a rising demand of customization, flexibility and adaptability of assembly processes will become key elements for a sustainable success of industrial production in high-wage countries. Self-optimization as presented in this paper has been identified as one major contributor to the enhancement of this flexibility and adaptability. After a short introduction of the historical background, the specifics of the application of self-optimization to assembly are discussed using its meta model. In the end, two application examples are presented to illustrate its industrial deployment.
机译:现代生产必须克服Polymma - 规模经济与范围之间的差距以及计划和价值经济之间。由于产品生命周期较短,定制需求不断上升,集会流程的灵活性和适应性将成为高工资国家的工业生产可持续成功的关键要素。本文提出的自我优化已被确定为增强这种灵活性和适应性的主要贡献者。在简短介绍历史背景之后,使用其META模型讨论了自我优化的应用程序的具体细节。最后,提出了两个应用示例以说明其工业部署。

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