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Assembly time modelling through connective complexity metrics

机译：通过连接复杂性指标进行装配时间建模

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摘要

This paper presents an approach for the development of surrogate models predicting the assembly time of a system based on complexity metrics of the physical system architecture when detailed geometric information is unavailable. A convention for modelling physical architecture is presented, followed by a sample of 10 analysed systems used for training and three systems used for validation. These systems are evaluated on complexity metrics developed from graph theoretic measures. An example model is developed based on a series of regressions of trends observed within the sample data. This is validated against the systems that are not used to develop the model. The model developed uses average path length, part count and path length density to approximate assembly time within the standard deviation of the subjective variation possible in Boothroyd and Dewhurst design for assembly (DFA) analysis. While the specific example model developed is generalisable only to systems similar to those in the sample set, the capability to develop mappings between physical architecture and assembly time in early-stage design is demonstrated.
机译：本文提出了一种用于开发替代模型的方法，该模型可在无法获得详细的几何信息时根据物理系统体系结构的复杂性指标来预测系统的组装时间。提出了对物理体系结构进行建模的约定，然后提供了用于训练的10个分析系统和用于验证的三个系统的示例。这些系统是根据从图论度量开发的复杂性度量进行评估的。基于在样本数据中观察到的一系列趋势回归，开发了一个示例模型。已针对未用于开发模型的系统进行了验证。开发的模型使用平均路径长度，零件数量和路径长度密度来估计组装时间，该时间在Boothroyd和Dewhurst设计的组装（DFA）分析中可能出现的主观变化的标准偏差内。虽然开发的特定示例模型仅可推广到与样本集中的系统类似的系统，但仍证明了在早期设计中开发物理体系结构和组装时间之间映射的能力。

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