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在新冠疫情期间确保工厂长期运营的智能与自动化技术:一种不断演进的模糊评估方法。

Smart and automation technologies for ensuring the long-term operation of a factory amid the COVID-19 pandemic: an evolving fuzzy assessment approach.

作者信息

Chen Toly, Lin Chi-Wei

机构信息

Department of Industrial Engineering and Management, National Chiao Tung University, Hsinchu, Taiwan.

Department of Industrial Engineering and Systems Management, Feng Chia University, Taichung, Taiwan.

出版信息

Int J Adv Manuf Technol. 2020;111(11-12):3545-3558. doi: 10.1007/s00170-020-06097-w. Epub 2020 Nov 13.

Abstract

The COVID-19 pandemic has severely impacted factories all over the world, which have been closed to avoid the spread of COVID-19. As a result, ensuring the long-term operation of a factory amid the COVID-19 pandemic becomes a critical but challenging task. To fulfill this task, the applications of smart and automation technologies have been regarded as an effective means. However, such applications are time-consuming and budget-intensive with varying effects and are not necessarily acceptable to workers. In order to make full use of limited resources and time, it is necessary to establish a systematic procedure for comparing various applications of smart and automation technologies. For this reason, an evolving fuzzy assessment approach is proposed. A case study has been conducted to demonstrate the effectiveness of the evolving fuzzy assessment approach in ensuring the long-term operation of a factory amid the COVID-19 pandemic.

摘要

新冠疫情对全球工厂造成了严重影响,这些工厂已被关闭以避免新冠病毒传播。因此,在新冠疫情期间确保工厂的长期运营成为一项关键但具有挑战性的任务。为完成这项任务,智能和自动化技术的应用被视为一种有效手段。然而,此类应用耗时且成本高昂,效果各异,且不一定为工人所接受。为了充分利用有限的资源和时间,有必要建立一个系统程序来比较智能和自动化技术的各种应用。因此,提出了一种演化模糊评估方法。进行了一个案例研究,以证明演化模糊评估方法在确保新冠疫情期间工厂长期运营方面的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c5e/7665885/28520f500529/170_2020_6097_Fig1_HTML.jpg

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