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Structure dynamics control-based framework for adaptive reconfiguration of collaborative enterprise networks

机译:基于结构动力学控制的协作企业网络自适应重配置框架

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摘要

Subject of this contribution is to elaborate a methodological basis of reconfiguration for the collaborative networks (CN), which are characterised by high structure dynamics due to flexible customer-oriented networking of core competencies. Typical examples of such CN are networks of small and medium enterprises, supply chains with not-fixed supplier structures, and virtual enterprises. In such CN, reconfiguration challenges are caused by structure dynamics of both CN itself and of the supporting infrastructures like information processes. To answer these challenges, we introduce specific description of the CN reconfiguration under the terms of theory of structures dynamics control based on multiple-structural macrostates. It allows comprehensive simultaneous consideration of various structures and functions for the CN execution. We start this paper with the state-of-the-art research analysis to the problem of the CN reconfiguration. Section 3 presents conceptual model algorithms of CN reconfiguration based on the theory of structure dynamics control. We conclude this paper with mathematical models and algorithms of CN parametrical and structural adaptation, which implement the described conceptual models of the CN reconfiguration. These models and algorithms make it possible to embed the reconfiguration in the CN control loop and to interlink planning and execution phases to increase the whole CN efficiency. Reconfiguration embedding in the CN control loop makes it possible to reveal both CN structural-technological reserves and new CN potentialities.
机译:该贡献的主题是为协作网络(CN)阐述重新配置的方法论基础,该协作网络的特点是由于核心能力的灵活的面向客户的灵活组网而具有较高的结构动态。这种CN的典型示例是中小企业网络,具有固定供应商结构的供应链和虚拟企业。在这样的CN中,重新配置挑战是由CN本身以及诸如信息处理之类的支持基础架构的结构动态所引起的。为了应对这些挑战,我们在基于多结构宏态的结构动力学控制理论的基础上,介绍了CN重配置的具体描述。它允许全面同时考虑CN执行的各种结构和功能。我们从对CN重新配置问题的最新研究分析开始本文。第三部分介绍了基于结构动力学控制理论的CN重构的概念模型算法。我们以CN参数化和结构自适应的数学模型和算法作为本文的结尾,这些模型和算法实现了CN重新配置的概念模型。这些模型和算法可以将重新配置嵌入到CN控制回路中,并使规划和执行阶段相互链接以提高整个CN效率。嵌入在CN控制回路中的重新配置可以揭示CN结构技术储备和新的CN潜力。

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