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Manufacturing networks in the era of digital production and operations: A socio-cyber-physical perspective

机译:在数字生产和运营时代的制造网络:社会网络 - 物理视角

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The performance of manufacturing networks relies on interactions. Digitalization supports an evidence-based understanding of partners' idiosyncrasies and behaviours, so that proper decision-making takes place. Indeed, context uncertainty and flexible problem solving demand human involvement in cyber-physical systems. Therefore, to materialize systems efficiency along with flexibility and robustness, human aspects and limitations need to be properly considered in the planning and control of manufacturing networks. This vision paper aims to address distributed decision-making in digital and integrated manufacturing networks under a socio-cyber-physical systems perspective. Therefore, this exploratory study presents a narrative review of current research literature, followed by a research framework proposition. Manufacturing and control research communities need to embrace a convergent vision addressing (i) how manufacturing networks can be planned and controlled in the future, (ii) which are the proper decision-making methods and approaches, as well as (iii) which are the technology drivers fostering new research opportunities with practical impact. In this context, the proposed framework indicates potential research avenues and offers an agenda for future work. (C) 2020 Elsevier Ltd. All rights reserved.
机译:制造网络的性能依赖于相互作用。数字化支持基于伙伴的特质和行为的基于证据的理解,以便进行正确的决策。实际上,环境不确定性和灵活的问题解决了人类参与网络物理系统的需求。因此,为了在制造网络的规划和控制中,需要适当地考虑系统效率以及灵活性和鲁棒性,人体方面和局限性需要适当地考虑。此视觉纸张旨在根据社会网络 - 物理系统的角度解决数字和综合制造网络中的分布式决策。因此,这项探索性研究提出了对当前研究文献的叙述审查,其次是研究框架命题。制造和控制研究社区需要接受融合愿景讲话(i)如何在未来计划和控制的制造网络,(ii)是哪种是正确的决策方法和方法,以及(iii)技术司机促进了具有实际影响的新研究机会。在这种情况下,拟议的框架表示潜在的研究途径,并提供了未来工作的议程。 (c)2020 elestvier有限公司保留所有权利。

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