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A manufacturing systems network model for the evaluation of complex manufacturing systems

机译：用于评估复杂制造系统的制造系统网络模型

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Purpose-The topology of manufacturing systems is specified during the design phase and can afterwards only be adjusted at high expense. The purpose of this paper is to exploit the availability of large-scale data sets in manufacturing by applying measures from complex network theory and from classical performance evaluation to investigate the relation between structure and performance. Design/methodology/approach-The paper develops a manufacturing system network model that is composed of measures from complex network theory. The analysis is based on six company data sets containing up to half a million operation records. The paper uses the network model as a straightforward approach to assess the manufacturing systems and to evaluate the impact of topological measures on fundamental performance figures, e.g., work in process or lateness. Findings-The paper able to show that the manufacturing systems network model is a low-effort approach to quickly assess a manufacturing system. Additionally, the paper demonstrates that manufacturing networks display distinct, non-random network characteristics on a network-wide scale and that the relations between topological and performance key figures are non-linear. Research limitations/implications-The sample consists of six data sets from Germany-based manufacturing companies. As the model is universal, it can easily be applied to further data sets from any industry. Practical implications-The model can be utilized to quickly analyze large data sets without employing classical methods (e.g. simulation studies) which require time-intensive modeling and execution. Originality/value-This paper explores for the first time the application of network figures in manufacturing systems in relation to performance figures by using real data from manufacturing companies.
机译：目的-制造系统的拓扑是在设计阶段指定的，之后只能进行大量调整。本文的目的是通过运用复杂网络理论和经典性能评估中的措施来研究制造中大规模数据集的可用性，以研究结构与性能之间的关系。设计/方法/方法-本文开发了一种制造系统网络模型，该模型由复杂网络理论中的措施组成。该分析基于六个公司数据集，其中包含多达五十万条操作记录。本文使用网络模型作为评估制造系统和评估拓扑措施对基本性能指标（例如在制品或后期工作）的影响的直接方法。调查结果-该论文能够证明制造系统网络模型是快速评估制造系统的一种省力方法。此外，本文还演示了制造网络在整个网络范围内均显示出独特的非随机网络特征，并且拓扑和性能关键指标之间的关系是非线性的。研究局限性/意义-该样本包含来自德国制造公司的六个数据集。由于该模型具有通用性，因此可以轻松地应用于任何行业的其他数据集。实际意义-该模型可用于快速分析大型数据集，而无需采用需要大量时间进行建模和执行的经典方法（例如仿真研究）。独创性/价值-本文首次通过使用制造公司的真实数据探索网络数字在制造系统中与绩效数字的关系。

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