基于质量问题解决的汉语文本数据的因果网络构建方法

doi:10.16381/j.cnki.issn1003-207x.2020.2414

Abstract

Abstract:

With the development of economy and technology， people's living standards continue to improve， consumers have higher requirements for the quality and the variety of products. Correspondingly， the quality problems become more and more complicated to solve. Cause analysis is the key to quality problem-solving. However， the causal relationship is usually complex and dynamic. It is challenging to analyze the cause of the problem in-depth only by personal experience. Front-line staffs record the quality problem-solving process， forming the Quality Problem Solving Data （QPS Data） which contains a large amount of knowledge accompanied by the causality of quality problems. However， non-standard records result in non-standard descriptive terms and the mixed causal structure of data. The characteristics mentioned above make it is difficult to apply directly since the data containing much empirical causal knowledge. In order to help improve the effectiveness of cause analysis by utilizing the causal knowledge contained in QPS Data， firstly， relying on the analysis of the characteristics of QPS Data， a bottom-up method is propased to extract domain vocabulary layer by layer from QPS Data， which solves the problem of descriptive terms being non-standardized. Secondly， by analyzing the causal syntactic pattern， a causal relation extraction method based on rule matching is proposed to solve the problem of mixed causal structures. Then， a causal network is constructed to realize the reuse of causal knowledge in QPS Data. Finally， using the quality problem-solving data recorded by an automobile manufacturing enterprise in the process of body-in-white stamping production， a causal network with practical application significance is constructed. And the validity， rationality， and scientificity of the proposed methods are verified. This research can provide extensive and comprehensive support for front-line staff to analyze the cause of the quality problem， help enterprises improve the efficiency of quality problem-solving， and provide enterprises with knowledge management methods for reference. Meanwhile， it contributes to the theories and methods of quality management and knowledge management.

Key words: quality management, quality problem solving data, causal analysis, causal network, automobile manufacturing

CLC Number:

F253.3

Yu-bin WANG,Yan-zhong DANG,Zhao-guang XU. A Causal Network Construction Method Based on Chinese Quality Problem Solving Data[J]. Chinese Journal of Management Science, 2023, 31(10): 254-265.

Figures/Tables 11

问题/原因初始描述词汇	频次
裂纹	638
褶皱	481
缩颈	376
拉毛	342
皱	295
裂	290
$?$	$?$

误用词汇	修正后的词汇
列纹	裂纹
列口	裂口
缩径	缩颈
镶快	镶块
$?$	$?$

领域词汇	粒度选择	语义聚类	词汇误用修正	问题/原因初始描述词汇
制件裂纹	制件裂纹翻边裂纹	制件裂纹、拉裂、撕裂、开裂、翻边裂纹	裂纹、制件裂纹、拉裂、撕裂、裂、裂开、开裂、裂口、裂、裂个口、翻边裂纹、翻边裂、翻边开裂	裂纹、列纹、制件裂纹、拉裂、撕裂、裂、裂开、开裂、裂口、裂、列口、裂个口、翻边裂纹、翻边裂、翻边开裂、翻边开列
翻边裂纹	制件裂纹翻边裂纹	制件裂纹、拉裂、撕裂、开裂、翻边裂纹	裂纹、制件裂纹、拉裂、撕裂、裂、裂开、开裂、裂口、裂、裂个口、翻边裂纹、翻边裂、翻边开裂	裂纹、列纹、制件裂纹、拉裂、撕裂、裂、裂开、开裂、裂口、裂、列口、裂个口、翻边裂纹、翻边裂、翻边开裂、翻边开列
制件褶皱	制件褶皱	制件褶皱	褶皱、制件褶皱、制件皱、皱纹、皱大、制件皱大、皱	褶皱、折皱、制件褶皱、制件皱、皱纹、皱大、制件皱大、皱
缩颈	缩颈	缩颈	缩颈、制件缩颈	缩径、缩颈、制件缩径、制件缩颈
堵废料	堵废料	堵废料、废料下滑不畅	堵废料、废料不下滑、废料堵死、废料下滑不顺畅、废料下滑缓慢	堵废料、赌废料、废料不下滑、废料堵死、废料下滑不顺畅、废料下滑缓慢
$?$	$?$	$?$	$?$	$?$

原因部分	因果关联词	结果部分
OP30垫废料	造成	刃口啃伤严重
OP10锌皮脱落	导致	制件压痕
顶料气缸漏气	由于……导致	顶料状态变化
压料不稳定	致使	制件偏移
$?$	$?$	$?$

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A Causal Network Construction Method Based on Chinese Quality Problem Solving Data

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