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浙江大学学报(工学版)
J4  2011, Vol. 45 Issue (8): 1329-1336    DOI: 10.3785/j.issn.1008-973X.2011.08.001
机械工程     
中小制造企业产品制造生命周期质量导航系统
王国栋, 唐任仲, 刘运通, 隋鹏飞
浙江大学 现代制造工程研究所,浙江 杭州 310027
Quality navigation system for product manufacturing life in SMMEs
WANG Guo-dong, TANG Ren-zhong, LIU Yun-Tong, SUI Peng-fei
Institute of Modern Manufacturing Engineering,Zhejiang University,Hangzhou 310027,China
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摘要：

针对中小制造企业产品制造过程中普遍存在的返工多、质量管理水平低下的问题，提出面向产品制造生命周期的质量导航原理，并以精益生产方式和过程管理思想为指导，建立相应的系统.系统的主要功能包括质量管理运作、信息检测与反馈、实时监视与控制3个部分，借助该系统，可以对产品在制造生命周期中的质量状态进行实时分析和可视化，以便及时发现质量问题和消除质量隐患.在某小型汽车电机生产企业开展的案例研究表明，借助所开发的质量导航系统能够实现预防性的质量管理，从而改善产品质量，增强企业的竞争力.
Abstract:

The principle of quality navigation for product manufacturing life was proposed to solve the problems such as high rework rate and poor quality management in Small-and Medium-sized Manufacturing Enterprises (SMMEs), a navigation system was built based on the proposed quality navigation principle, lean manufacturing and process management. The system is consisted of three modules: quality management operation, quality data collection and feedback, real-time quality monitor and control with which the quality state of products in their manufacturing life can be analyzed and visualized real-time, so that the quality problems can be found and deleted in time. A case study in a small-sized automobile motor manufacturer shows that the preventive quality management was realized with the quality navigation system, so that the product quality is improved and the competitiveness of the enterprise is enhanced.
出版日期: 2011-09-08
:  TP 391  
基金资助:

国家自然科学基金资助项目（50675201)；浙江省重大科技专项资助项目（2010C01015).
通讯作者: 唐任仲，男，教授，博导.     E-mail: tangrz@zju.edu.cn
作者简介: 王国栋（1983—），男，博士生，从事精益生产、质量管理方面的研究. Email: wanggd.cn@gmail.com
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引用本文:

王国栋, 唐任仲, 刘运通, 隋鹏飞. 中小制造企业产品制造生命周期质量导航系统[J]. J4, 2011, 45(8): 1329-1336.

WANG Guo-dong, TANG Ren-zhong, LIU Yun-Tong, SUI Peng-fei. Quality navigation system for product manufacturing life in SMMEs. J4, 2011, 45(8): 1329-1336.

链接本文:

https://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2011.08.001    或    https://www.zjujournals.com/eng/CN/Y2011/V45/I8/1329

［1］ SCHNIEDERJANS M J, CAO Q, OLSON J R. Consumer perceptions of product quality: made in China ［J］. The Quality Management Journal, 2004, 11(3): 8-19.


［2］ ALDOWAISAN T A, YOUSSEF A S. An ISO 9001: 2000based framework for realizing quality in small businesses ［J］. Omega, 2006, 34(3): 231-235.

［3］ JENAB K, AHI P. Fuzzy quality feature monitoring model ［J］. International Journal of Production Research, 2010, 48(17): 5021-5030.

［4］ AEBTARM S, BOUGUILA N. An optimal bivariate Poisson field chart for controlling highquality manufacturing processes ［J］. Expert Systems with Applications, 2010, 37(7): 5498-5506.

［5］ 邓军,余忠华,杨基平,等.面向产品生命周期的全面质量管理系统［J］.浙江大学学报：工学版,2005,39(4): 500-505.

DENG Jun, YU Zhonghua, YANGJiping, et al. Product lifecycle total quality management system ［J］. Journal of Zhejiang University: Engineering Science, 2005, 39(4): 500-505.

［6］ 刘晓冰,刘彩燕,马跃,等.基于制造执行系统的动态质量控制系统研究［J］.计算机集成制造系统,2005,11(1): 133-137.

LIU Xiaobing, LIU Caiyan, MA Yue, et al. Research on dynamic quality control system based on MES ［J］. Computer Integrated Manufacturing Systems,2005,11(1): 133-137.

［7］ 殷建军,余忠华,李兴林,等.基于Kalman滤波的过程调节与质量监控方法［J］.浙江大学学报：工学版,2008,42(8): 1419-1422.

YIN Jianjun, YU Zhonghua, LI Xinglin, et al. Process adjustment and quality monitoring method based on Kalman filter ［J］. Journal of Zhejiang University: Engineering Science, 2008, 42(8): 1419-1422.

［8］ IRANI Z, BESKESE A, LOVE P E D. Total quality management and corporate culture: constructs of organisational excellence ［J］. Technovation, 2004, 24(8): 643-650.

［9］ ZEHIR C, SADIKOGLU E. The relationship between total quality management (TQM) practices and organizational performance: An empirical investigation ［J］. International Journal of Production Economics, 2010, 101(2): 145.

［10］ ZU X, FREDENDALL L D, DOUGLAS T J. The evolving theory of quality management: The role of Six Sigma ［J］. Journal of Operations Management, 2008, 26(5): 630-650.

［11］ PREPARATA F P, SHAMOS M I. 计算几何导论［M］. 庄心谷,译. 北京: 科学出版社, 1990. 5354, 120-122.
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