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Evaluation across and within collaborative manufacturing networks: a comparison of manufacturers' interactions and attributes

机译:跨协作制造网络及其内部进行评估:比较制造商的互动和属性

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摘要

Evaluation on collaborative manufacturing network (CMN) structure characteristics has important implications for network operations such as production decision-making, product recovery, creating consensus. Several recent studies suggest that augmenting network structure with nodes' attributes can provide a more fine-grained understanding of the network. However, there have been few studies to provide a systematic understanding of these effects in a CMN at scale. This gap is bridged using an industrial printing machinery CMN data-set collected on a web-based producing and outsourcing service platform. Novel phenomena with respect to both interaction and attribute metrics across and within the CMNs are observed. Moreover, although many studies employ either interaction or attribute data to study the relative roles of manufacturers in a CMN, relatively little is known about the relationship between these two types of data. This study explores this relationship by comparing two defined metrics (i.e. relational capability and node capability), which evaluate the manufacturers' interactions and attributes, respectively. We examine to what extent the two metrics of manufacturers correlate with each other, and how possible dissimilarities and similarities can be explained based on the collected industrial CMN data-set. The insights thereby provide a better basis for efficient operations decision-making in CMN.
机译:对协作制造网络(CMN)结构特征的评估对网络运营(例如生产决策,产品回收,达成共识)具有重要意义。最近的一些研究表明,用节点的属性来增强网络结构可以提供对网络的更细粒度的了解。但是,很少有研究能够大规模地了解CMN中的这些影响。使用在基于Web的生产和外包服务平台上收集的工业印刷机械CMN数据集可以弥合这一差距。观察到有关CMN之间和内部的交互和属性指标的新颖现象。此外,尽管许多研究都使用交互或属性数据来研究制造商在CMN中的相对角色,但对这两种数据之间的关系知之甚少。这项研究通过比较两个定义的指标(即关系能力和节点能力)探索了这种关系,这两个指标分别评估了制造商的互动和属性。我们研究了制造商的两个指标在多大程度上相互关联,以及如何基于收集的工业CMN数据集来解释可能的异同。因此,这些见解为CMN中的有效运营决策提供了更好的基础。

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