产品制造过程质量波动源解释结构模型与应用

工业工程

产品制造过程质量波动源解释结构模型与应用

1.北京科技大学东凌经济管理学院, 北京 100083； 2. 中国航空综合技术研究所北京 100028； 3. 北京航空航天大学可靠性与系统工程学院, 北京 100191

出版日期:2016-10-31 发布日期:2017-02-21
作者简介:汪邦军（1969-），男，安徽省人，研究员，博士研究生，主要研究方向为质量与可靠性工程.
基金资助:
北京市自然科学基金资助项目（9144028）

Product Manufacturing Process Quality Variation Source Interpretative Structural Modeling and its Application

1.Dongling School of Economics and Management, University of Science and Technology Beijing, Beijing 100083, China;2. China AeroPolytechnology Establishment, Beijing 100028, China; 3. School of Reliability and Systems Engineering，Beijing University of Aeronautics and Astronautics, Beijing 100191, China

Online:2016-10-31 Published:2017-02-21

摘要/Abstract

摘要：

基于对产品制造过程波动传递和累积模式、波动影响因素之间关系的分析，运用图论方法将制造过程影响关系拓扑结构简化为有向图和邻接矩阵，提出制造过程波动源解释结构模型的建模步骤；给出基于因果图建立邻接矩阵，基于布尔代数方法编程计算可达矩阵，建立质量波动源解释结构模型，提出改进优先次序和技术建议的工程应用案例。

关键词: 解释结构模型, 波动源, 邻接矩阵, 布尔代数

Abstract:

Based on the analysis of the mode of variation transmission and accumulation, and the relationship between variation factors in manufacturing processes, the topological structure is simplified as a directed graph and adjacency matrix using graph theory method, and steps of variation source interpretative structural modeling are presented, which provides an engineering application case study of establishing adjacency matrix based on causality diagram, calculating the reachable matrix based on Boolean algebra method, establishing quality variation source interpretative structure modeling, and determining improved priorities and providing technical proposals.

Key words: interpretative structural modeling, variation source, adjacency matrix, Boolean algebra

汪邦军1，2，李润岐2，戴伟3，佘元冠1. 产品制造过程质量波动源解释结构模型与应用[J]. 工业工程.

WANG Bangjun1，2, LI Runqi2, DAI Wei3, SHE Yuanguan1. Product Manufacturing Process Quality Variation Source Interpretative Structural Modeling and its Application[J]. Industrial Engineering Journal .

参考文献

［1］HUSSAIN M A, AWASTHI A, TIWARI M K. Interpretive structural modelinganalytic network process integrated framework for evaluating sustainable supply chain management alternatives［J］. Applied Mathematical Modelling, 2016, 40(5-6):3671-3687.

［2］周荣辅, 朱超博.基于解释结构模型的供应链质量形成影响因素研究［J］.科技管理研究,2012,(7):93-98.

ZHOU Rongfu, ZHU Chaobo. Study on factors affecting supply chain quality based on interpretative structural model［J］. Science and Technology Management Research, 2012,(7):93-98.

［3］ALIDRISI H. Prioritizing critical success factors for six sigma implementation using interpretive structural modeling［J］. American Journal of Industrial & Business Management, 2014, 4(12):697-708.

［4］ANSARI M F, KHARB R K, LUTHRA S, et al. Analysis of barriers to implement solar power installations in India using interpretive structural modeling technique［J］. Renewable & Sustainable Energy Reviews, 2013, 27(6):163-174.

［5］谢刚,李国平.广义梯度理论中梯度的解释结构模型研究［J］.系统工程,2004,22(5):1-6.

XIE Gang, LI Guoping.An interpretive structure model on the grad in generalizedgrads theory［J］. Systems Engineering,2004, 22(5):1-6.

［6］李卫红.基于ISM的制造型企业品牌竞争力影响因素结构分析［J］.数学的实践与认识,2014,14(13):63-71.

LI Weihong. Structural analysis of factors influencing brand competition capability in manufacturing enterprises based on interpretative structural model［J］. Mathematics in Practice and Theory, 2014,14(13):63-71.

［7］王凤山,朱万红,王全鹏.基于ISM的工程装备质量评价体系构建方法［J］.解放军理工大学学报,2005,6(5):479-483.

WANG Fengshan, ZHU Wanhong, WANG Quanpeng. Constructing quality systems of engineering equipment based on ISM［J］.Journal of PLA University of Science and Technology,2005,6(5):479-483.

［8］陈亚青,韩云祥.解释结构模型在航空事故分析中的应用［J］.防灾科技学院学报,2009,11(2):4-6.

CHEN Yaqing, HAN Yunxiang. The application of interpretive structural model to air accident analysis［J］. Journal of Institute of Disaster Prevention Science and Technology,2010,30(1):309-311.

［9］林维,周丽莎.基于改进解释结构模型化方法的定位基准选择［J］. 计算机应用,2010,30(1):309-311.

LIN Wei, ZHOU Lisha. Selection of location datum based on improved interpretative structural modeling method［J］. Journal of Computer Applications, 2010, 30(1) : 309-311.

［10］丁力平,谭建荣,冯毅雄,等.基于解析结构模型的产品模块构建及其优化［J］. 计算机集成制造系统,2008,14(6): 1070-1077.

DING Liping, TAN Jianrong, FENG Yixiong, et al.Construction of product module based on interpretive structure modeling and its optimization［J］. Computer Integrated Manufacturing Systems.,2008,14(06): 1070-1077.

［11］张雷,刘志峰,杨明,等.基于解释结构模型的产品零部件拆卸序列规划［J］.计算机辅助设计与图形学学报,2011,23(4):267-275.

ZHANG Lei, LIU Zhifeng, YANG Ming, et al. Disassembly sequence planning based on interpretative structural mode［J］. Journal of Computer Aided Design & Computer Graphics, 2011,23(4):267-275.

［12］ERTAS A, SMITH M W, TATE D, et al. Complexity of system maintainability analysis based on the interpretive structural modeling methodology: transdisciplinary approach［J］. Journal of Systems Science & Systems Engineering, 2016,25(2):254-268.

［13］汪邦军. 多特性工业过程质量诊断与控制［J］. 航空标准化与质量,2006(1): 14-18.

WANG Bangjun. Multivariate statistical process diagnosis & control［J］. Aeronautic Standardization & Quality,2006,(1):14-18.

［14］杜世昌,奚立峰,潘尔顺. 多阶段系统中尺寸偏差建模与控制［J］.上海交通大学学报, 2006,40(4): 583-587.

DU Shichang, XI Lifeng, PAN Ershun. Modeling and controlling of dimensional variation in multistage manufacturing system［J］.Journal of Shanghai Jiao Tong University,2006,40(4):583-587.

［15］LOOSE J P, ZHOU Q, ZHOU S, CEGLAREK D. Integrating GD&T into dimensional variation models for multistage machining processes［J］. International Journal of Production Research, 2010, 48(11): 3129-3149.

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