Along with social science and technology progressing, market competition becoming white-hot, and markets being oriented by customers, multiple-variety and small-batch production has become the mainstream trend of current manufacturing, however, the quality control and analysis of multiple-variety and small-batch production process has become a thorny problem due to the lack of machining data. To solve this challenge, a “typical process” capability analysis method of small-batch production based on fuzzy matter-element is put forward. The analysis method of fuzzy matter-element is adopted, while one process is regarded as one fuzzy matter-element, the decision condition of similar process is constructed according to the process capability influence factors and then the processes similar to original processes are found out, by which a new “typical process” with large quantities of sample data characteristics can be built up; with the analysis on the new “typical process” capability, the “typical process” capability level can be figured out and the corresponding control measures can be done; Finally examples are used to verify the correctness and feasibility of the method.
ZHANG Genbao.RAN Yan
. Typical Process Capability Analysis of Small-batch Production Based on Fuzzy Matter-element[J]. Journal of Mechanical Engineering, 2015
, 51(23)
: 116
-122
.
DOI: 10.3901/JME.2015.23.116
[1] ROBERTS S W. Continuous inspection schemes[J]. Biometrics，1959，(41)：18-21.
[2] 余忠华，吴邵同. 面向小批量制造过程的质量控制方法研究[J]. 机械工程学报，2001，37(8)：60-64.YU Zhonghua，WU Zhaotong. Algorithm of quality control in small batch manufacturing process[J]. Chinese Journal of Mechanical Engineering，2001，37(8)：60-64.
[3] 李佳翔，韩之俊. 基于田口方法的小批量生产过程控制[J]. 工业工程与管理，2009(1)：31-35.LI Jiaxiang，HAN Zhijun. Research on process control for multi product and small batch production based on Taguchi method[J]. Industrial Engineering and Management，2009(1)：31-35.
[4] DOVICH R A. Statistics for the small-lot job shop[J]. Machine and Tool Blue Book，1998，83(l)：10-12.
[5] 王丽颖，孙丽，王秀伦. 基于典型工序的小批量工序质量控制方法研究[J]. 计算机集成制造系统，2006，12(8)：1263-1266. WANG Liying，SUN Li，WANG Xiulun. Multi-type & small batch procedure quality control method based on virtual procedure[J]. Computer Integrated Manufacturing Systems，2006，12(8)：1263-1266.
[6] 郑唯唯，梁俊俊. 多品种、小批量产品过程质量集成控制研究[J]. 中国制造业信息化，2007，36(7)：19-21. ZHENG Weiwei，LIANG Junjun. Research on process quality integrated control of multiple variety and small batch product [J]. Manufacture Information Engineering of China，2007，36(7)：19-21.
[7] YIN Y C，SUN L F，GUO C. A policy of conflict negotiation based on fuzzy matter element particle swarm optimization in distributed collaborative creative design[J]. Computer-Aided Design，2008，40(11/10)：1009-1014.
[8] 余健，房莉， 仓定帮，等. 熵权模糊物元模型在土地生态安全评价中的应用[J]. 农业工程学报，2012，28(5)：260-265.YU Jian，FANG Li，CANG Dingbang，et al. Evaluation of land eco-security in Wanjiang district base on entropy weight and matter element model[J]. Transactions of the Chinese Society of Agricultural Engineering，2012，28(5)：260-265.
[9] 张根保，庞继红，陈国华，等. 数控装备质量的模糊物元综合评价方法[J]. 重庆大学学报，2011，34(1)：36-41. ZHANG Genbao，PANG Jihong，CHEN Guohua，et al. A comprehensive evaluation method of fuzzy matter element for CNC equipment quality[J]. Journal of Chongqing University，2011，34(1)：36-41.
[10] 刘志峰，王淑旺，万举勇，等. 基于模糊物元的绿色产品评价方法[J]. 中国机械工程，2007，18(2)：166-170.LIU Zhifeng，WANG Shuwang，WAN Juyong，et al. Green product assessment method based on fuzzy matter-element[J]. China Mechanical Engineering，2007，18(2)：166-170.
[11] 姜兴宇，王世杰，赵凯，等. 面向网络化制造的智能工序质量控制系统[J]. 机械工程学报，2010，46(4)：186-194. JIANG Xingyu，WANG Shijie，ZHAO Kai，et al. Intelligent process quality control system for networked manufacturing[J]. Journal of Mechanical Engineering，2010，46(4)：186-194.
