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DEVELOPMENT OF A BIOLOGY INSPIRED MANUFACTURING SYSTEM FOR MACHINING TRANSMISSION CASES

机译:机械加工传动箱的生物启发制造系统的开发

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Disruptions in automated manufacturing systems for machining automotive parts caused by system changes and disturbances reduce the productivity, and increase the downtime as well as the cost of products. To cope with these challenges, the paper presents a biology inspired manufacturing system (Bio-MS). The model of Bio-MS is inherited from the organization of the living systems in biology and nature such as ant colony, school of fish, bee's foraging behaviors, and so on. In which, the resources of the manufacturing system are considered as biological organisms, which are autonomous entities so that the manufacturing system has the advanced characteristics inspired from biology such as self-adaptation, self-diagnosis, and self-healing. To realize the Bio-MS, the cognitive agent and swarm intelligence were proposed. The disturbances happening when machining the transmission cases at an automotive company in Korea were analyzed to classify them and to find out the corresponding management methods. Currently, the system utilization was too low due to the manual recovery, only 70-76 percent of total production time is used for manufacturing and the rest of the time is wasted in different disturbances. The Bio-MS with autonomous behaviors adapts efficiently to the changes of the manufacturing environment. It enables to increase the system utilization more than 80 percent.
机译:由系统变更和干扰引起的用于加工汽车零件的自动化制造系统的中断会降低生产率,并增加停机时间和产品成本。为了应对这些挑战,本文提出了一种生物学启发的制造系统(Bio-MS)。 Bio-MS的模型继承自生物学和自然界中生命系统的组织,例如蚁群,鱼类群,蜜蜂的觅食行为等。其中,制造系统的资源被视为生物有机体,它们是自治的实体,因此制造系统具有受生物学启发的先进特性,例如自适应,自我诊断和自我修复。为了实现Bio-MS,提出了认知智能和群体智能。分析了在韩国一家汽车公司加工变速箱时发生的干扰,以对它们进行分类并找出相应的管理方法。当前,由于手动恢复,系统利用率太低,仅将总生产时间的70-76%用于制造,其余时间则浪费在不同的干扰下。具有自主行为的Bio-MS可以有效地适应制造环境的变化。它使系统利用率提高了80%以上。

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