Aspects of resilience for smart manufacturing systems

IF 3.6 Q1 BUSINESS, FINANCE
Daniel S. Fowler, Gregory Epiphaniou, Matthew D. Higgins, Carsten Maple
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引用次数: 2

Abstract

Abstract An external disruptor to a manufacturing process (e.g., a supply chain failure, or a cyber‐attack) can affect more than a factory's output; it can have wider societal concerns, raising the issue of industrial resilience at different levels. In this work, manufacturing resilience is revisited, reviewing the applicability of the resilience concept to the industrial domain, particularly the smart factories enabled by newer digital technologies. The meaning of resilience within manufacturing is shown to be composed of several factors that operate at three levels (macro, meso, and micro). The factors have been united from a variety of sources to unify the traits within manufacturing resilience. Furthermore, a summary of the advanced digital technologies that can aid (or detract) from resilience is discussed, along with some of their challenges around digital complexity, legacy equipment support, high‐performance wireless communications, and cybersecurity. Although it is seen that digital manufacturing systems can aid resilience within the industrial sector and contribute to wider societal goals, the biggest impact is likely to be at the lowest (micro) level. Opportunities exist to quantify resilience factors and their use within manufacturing systems support software, and how to influence the resilience requirements of the wider stakeholders.
智能制造系统的弹性方面
制造过程的外部干扰(例如,供应链故障或网络攻击)可能影响的不仅仅是工厂的产出;它可以引起更广泛的社会关注,在不同层面提出工业恢复能力的问题。在这项工作中,重新审视了制造业弹性,回顾了弹性概念在工业领域的适用性,特别是由新数字技术实现的智能工厂。制造业中弹性的含义由三个层面(宏观、中观和微观)的几个因素组成。从不同的来源将这些因素统一起来,统一制造业弹性的特征。此外,本文还总结了能够增强(或削弱)弹性的先进数字技术,以及它们在数字复杂性、传统设备支持、高性能无线通信和网络安全方面面临的一些挑战。尽管数字制造系统可以帮助工业部门的弹性并为更广泛的社会目标做出贡献,但最大的影响可能是在最低(微观)层面。有机会量化弹性因素及其在制造系统支持软件中的使用,以及如何影响更广泛涉众的弹性需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.70
自引率
10.70%
发文量
70
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