基于PLSR的多级制造过程关键质量特性识别方法

运筹与管理 ›› 2013, Vol. 22 ›› Issue (5): 226-232.

基于PLSR的多级制造过程关键质量特性识别方法

王宁¹, 徐济超², 杨剑锋¹

1.郑州大学商学院,河南郑州 410052;
2.西北工业大学管理学院,陕西西安 710129

收稿日期:2012-08-20 出版日期:2013-10-25
作者简介:王宁(1983-),男,河南焦作人,满族,讲师,主要研究方向:质量管理;徐济超(1958-),男,河南项城人,教授,博士生导师,研究方向:质量管理,质量工程;杨剑锋(1970-),男,河南人,副教授,研究方向:质量管理,供应链管理。
基金资助:
国家自然科学基金资助项目(71272207,V1204702);教育部人文社科项目(10YJC630326)

Method of Identifying Key Quality Characteristics in Multistage Manufacturing Process Based on PLSR

WANG Ning¹, XU Ji-chao², YANG Jian-feng¹

1. Business School, Zhengzhou University, Zhengzhou 410052, China;
2. School of Management Northwestern Polytechnical University, Xi'an 710129, China

Received:2012-08-20 Online:2013-10-25

摘要/Abstract

摘要： 为解决多级制造过程关键质量特性识别中多质量特性之间的相关性问题,将偏最小二乘回归方法(Partial Least Squares Regression, PLSR)引入模型构建与分析中。首先应用状态空间方法建立多级制造过程关键质量特性识别模型,进而利用PLSR方法解决质量特性间的多重共线性问题并进行模型分析,识别关键质量特性,最后以卷烟生产过程为例介绍了该方法的应用。实例表明,该方法不仅可以有效识别多级制造过程关键质量特性,而且能够建立各级过程的输出质量对最终产品质量的影响及其质量特性之间相互关系的模型,反映多级生产过程的结构特征和各级过程质量特性之间的因果关系,为多级制造过程质量分析与控制提供依据。

关键词: 质量管理, 识别方法, 状态空间模型, 偏最小二乘回归, 多级制造过程, 关键质量特性

Abstract: To solve the multicollinearity problem between quality characteristics in identifying the key quality characteristics of multistage manufacturing process, the partial least squares regression(PLSR)method is introduced to model and analyze the key quality characteristics identifying model. Firstly, the state space model is applied to model the key quality characteristics identifying model multistage manufacturing process. Then using the PLSR method to solve the multicollinearity problem, we make a model analyse and identify the key quality characteristics. Lastly, the cigarette production process is taken as an example to introduce the method application. The result shows that this method not only could identify the key quality characteristics in multistage manufacturing process, but also establish the model of output quality effecting of all levels on the final product quality and their quality characteristics relationship, which reflect the structure of the multistage manufacturing process and causal relationship between quality characteristics at all process levels, providing the basis for quality analysis and control in multistage manufacturing process.

Key words: quality management, identifying method, state space model, partial least squares regression, multistage manufacturing process, key quality characteristics

中图分类号:

F273.2

王宁, 徐济超, 杨剑锋. 基于PLSR的多级制造过程关键质量特性识别方法[J]. 运筹与管理, 2013, 22(5): 226-232.

WANG Ning, XU Ji-chao, YANG Jian-feng. Method of Identifying Key Quality Characteristics in Multistage Manufacturing Process Based on PLSR[J]. Operations Research and Management Science, 2013, 22(5): 226-232.

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