供应链和生产系统中的仿生调节

IF 6.8 Q1 AUTOMATION & CONTROL SYSTEMS
Marc Thielen, Niclas Trube, Johannes M. Schneider, Malte von Ramin
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引用次数: 0

摘要

在应对自然灾害、基础设施堵塞或经济危机等各种破坏性事件的同时,生产行业面临着提高灵活性和效率的挑战。从生产线上的单个工位到全球供应链,一切都是相互关联的,这使得监管和控制成为一项复杂的任务。生物分子过程,如生物体的新陈代谢或细胞周期,也是极其复杂的过程,可与工业生产过程相提并论,两者都涉及一系列中间步骤和产品。得益于长期演化的(自我)调控机制,这些生物机制在面对干扰时非常高效和稳健。本文从生物和技术两个方面,对这些复杂的过程提出了解释性的表述。其目的是促进生物调控机制向技术领域的仿生转移。文章提出了对生产线和采购策略进行生物仿真调节的概念,并介绍了生成数字孪生的工作流程。这一工作流程受到细胞周期检查点的启发,细胞周期检查点可确保在细胞复制过程中只传递完美的 DNA 副本。利用这一认识,生产行业有可能改进自身的流程和效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Biomimetic Regulation in Supply Chains and Production Systems

Biomimetic Regulation in Supply Chains and Production Systems

The production industry is challenged to become more flexible and efficient while coping with a variety of disruptive events, such as natural disasters, infrastructure blockages, or economic crises. From the individual station on a production line to the global supply chain, everything is connected, making regulation and control a complex task. Biological molecular processes, such as the metabolism of living organisms or the cell cycle, are also extremely complex processes that can be compared to industrial production processes, both of which involve a series of intermediate steps and products. Thanks to (self-)regulatory mechanisms that have evolved over time, these biological mechanisms are very efficient and robust in the face of perturbations. This article proposes an explanatory representation of these complex processes, considering both biological and technical aspects. The aim is to facilitate biomimetic transfer of biological regulation mechanisms into the technical domain. It presents concepts for biomimetic regulation of production lines and sourcing strategies and introduces a workflow for generating digital twins. This workflow is inspired by the cell cycle checkpoints, which ensure that only perfect copies of DNA are passed on during cell replication. By leveraging this understanding, the production industry can potentially improve its own processes and efficiency.

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来源期刊
CiteScore
1.30
自引率
0.00%
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