农业机械学报2017，Vol.48Issue(3)：396-404,9.DOI:10.6041/j.issn.1000-1298.2017.03.051
面向智能制造的数控机床多目标优选法研究
Multi-objective Optimum Seeking Method of Intelligent Manufacturing Oriented CNC Machine Tool
摘要
Abstract
Considering the intelligent development trend of manufacturing industry in current and the key role of CNC machine tool in modern manufacturing engineering,a multi-objective optimum seeking method of CNC machine tool is proposed,which combines the advantages of quality function deployment (QFD),fuzzy linear regression,and zero-one goal programming (ZOGP).On the basis of studying intelligent manufacturing's specific requirements,QFD is utilized for examining the causal relationships between intelligent manufacturing's requirements and CNC machine tool's performances.The intelligent manufacturing's requirements are incorporated into machine tool selection by house of quality (HOQ).Fuzzy linear regression is used to determine the extent of functional relationships between intelligent manufacturing's requirements and machine tool's performances in the HOQ.The weight coefficients of CNC intelligent manufacturing's requirements indexes are calculated by analytic hierarchy process (AHP).Zero-one goal programming is used to select the optimal CNC machine tool.Taking the CNC machine tool's multi-objective decision problem in constructing an intelligent manufacturing platform as application case,and the optimal one with high comprehensive performance is selected from five alternative CNC machine tools.The study result shows that the proposed multi-objective optimum seeking method of intelligent manufacturing oriented CNC machine tool has high practicability.关键词
数控机床/智能制造/质量屋/模糊线性回归/优选法Key words
CNC machine tool/intelligent manufacturing/house of quality/fuzzy linear regression/optimum seeking method分类
机械制造引用本文复制引用
刘世豪,杜彦斌,姚克恒,唐敦兵..面向智能制造的数控机床多目标优选法研究[J].农业机械学报,2017,48(3):396-404,9.基金项目
国家自然科学基金项目(51405115)和海南省自然科学基金项目(20165195) （51405115）
