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Resiliency of Smart Manufacturing Enterprises via Information Integration
Journal of Industrial Information Integration ( IF 15.7 ) Pub Date : 2022-05-30 , DOI: 10.1016/j.jii.2022.100370
Ananya SHETH , Andrew KUSIAK

Smart Manufacturing enterprises emerge as interconnected, geographically distributed, data driven, and adaptive. While smartness is improved by the integration of information, this also leads to complexity. In this paper, smart manufacturing enterprises are modeled as a complex adaptive system with resiliency as a property. Resiliency is indicated by the enterprises’ ability to comprehensively understand risks and adapt to changes, and information integration plays an important role. A systematic literature review reveals that the current perspectives on manufacturing resiliency are narrow as they are concentrated on isolated parts of the manufacturing process and do not account for enterprise-wide risks that are typical to a smart manufacturing enterprise. An expanded set of risk sources is important for resiliency and information integration has a key role to play in reducing these risks. The complex adaptive systems lens employed in the paper prescribes a five-part framework to organize key risk sources including: external environment, internal environment, manufacturing processes, technology; and demand-supply networks. Additionally, for each key risk source, the role of integrated information is discussed. Lastly, complexity of a single function (logistics) is described and the rational for a CAS view is provided.



中文翻译:

信息整合赋能智能制造企业

智能制造企业以互联、地理分布、数据驱动和自适应的形式出现。虽然通过信息集成提高了智能性,但这也导致了复杂性。本文将智能制造企业建模为一个以弹性为属性的复杂自适应系统。弹性体现在企业全面了解风险和适应变化的能力上,信息整合发挥着重要作用。系统的文献回顾表明,当前对制造弹性的看法很狭窄,因为它们集中在制造过程的孤立部分,没有考虑到智能制造企业典型的企业范围风险。一组扩展的风险源对于弹性很重要,信息集成在降低这些风险方面发挥着关键作用。本文采用的复杂自适应系统镜头规定了一个由五部分组成的框架来组织关键风险源,包括:外部环境、内部环境、制造过程、技术;和供需网络。此外,针对每个关键风险源,讨论了综合信息的作用。最后,描述了单个功能(物流)的复杂性,并提供了 CAS 视图的合理性。此外,针对每个关键风险源,讨论了综合信息的作用。最后,描述了单个功能(物流)的复杂性,并提供了 CAS 视图的合理性。此外,针对每个关键风险源,讨论了综合信息的作用。最后,描述了单个功能(物流)的复杂性,并提供了 CAS 视图的合理性。

更新日期:2022-05-30
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