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Mould Risk Assessment Based on RST-BN Approach

机译:基于RST-BN方法的模具风险评估

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摘要

Mould industry is crucial to all manufacturing fields, but there has been very little research work of mould project risk assessment in the world so far, it doesn't match with mould's important role in all industries. Mould project risks often became issues, made over 8% rework rate after mould delivery and 20% process rework rate in average. This paper summarized the disadvantage of FTA-BN approach to quantitative risk assessment of mould project, which is widely used in other industry fields, and proposed RST-BN approach instead, The attribute selection and fault diagnosis was developed based on the advantage of rough set theory (RST), to deal with the incomplete, vague and ambivalent data by the innovation algorithms of Core reduction and Unred reduction of attributes. The rough set approach enables one to discover the minimal subsets of condition attributes associated with risk events of mould project, to make BN modeling simpler and effective for quantitative risk assessment. Through a case study, our research result shows that the RST-BN is a promising approach for quantitative risk assessment of mould project development for mould-maker to rank risks and make mitigation plan in advance.
机译:模具行业对所有制造领域至关重要,但到目前为止,世界上模具项目风险评估的研究工作很少,它与模具在所有行业中的重要作用不符。模具项目风险往往变成了问题,在模具交付后的8%返工率和平均工艺返工率20%以上。本文总结了FTA-BN方法对模具项目的定量风险评估的缺点,该项目广泛应用于其他工业领域,并提出了RST-BN方法,而是基于粗糙集的优势开发了属性选择和故障诊断理论(RST),通过核心减少的创新算法和未证明的属性的创新算法处理不完整,模糊和矛盾的数据。粗糙集方法使人们能够发现与模具项目风险事件相关的条件属性的最小亚组,以使BN建模更简单,有效地对定量风险评估。通过案例研究,我们的研究结果表明,RST-BN是模具项目开发的定量风险评估的有希望的方法,以对风险进行排名并提前进行缓解计划。

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