计算机应用研究
計算機應用研究
계산궤응용연구
APPLICATION RESEARCH OF COMPUTERS
2015年
2期
443-446
,共4页
大规模定制%工时定额%定制程度%神经网络%模糊综合评判法
大規模定製%工時定額%定製程度%神經網絡%模糊綜閤評判法
대규모정제%공시정액%정제정도%신경망락%모호종합평판법
mass customization%time-quota%customization degree%neural network%fuzzy comprehensive evaluation method
为了解决大规模定制生产环境下定制零件工时定额制定存在的问题,提出一种基于零件定制程度的工时定额方法。此方法首先分析了影响零件工时的主要特征,采用神经网络技术得出各主要特征的权重;然后运用模糊综合评判法计算基于零件主要特征的零件定制程度;最后通过事例推理技术(case-based reasoning,CBR)检索相似零件,根据相似零件的定制程度与工时信息,运用MATLAB软件建立零件工时的数学模型,计算出定制零件的工时。以某企业模具的平面安装面的加工时间计算为例对该方法进行验证,结果证明该方法具有较高的准确性和可行性。
為瞭解決大規模定製生產環境下定製零件工時定額製定存在的問題,提齣一種基于零件定製程度的工時定額方法。此方法首先分析瞭影響零件工時的主要特徵,採用神經網絡技術得齣各主要特徵的權重;然後運用模糊綜閤評判法計算基于零件主要特徵的零件定製程度;最後通過事例推理技術(case-based reasoning,CBR)檢索相似零件,根據相似零件的定製程度與工時信息,運用MATLAB軟件建立零件工時的數學模型,計算齣定製零件的工時。以某企業模具的平麵安裝麵的加工時間計算為例對該方法進行驗證,結果證明該方法具有較高的準確性和可行性。
위료해결대규모정제생산배경하정제령건공시정액제정존재적문제,제출일충기우령건정제정도적공시정액방법。차방법수선분석료영향령건공시적주요특정,채용신경망락기술득출각주요특정적권중;연후운용모호종합평판법계산기우령건주요특정적령건정제정도;최후통과사례추리기술(case-based reasoning,CBR)검색상사령건,근거상사령건적정제정도여공시신식,운용MATLAB연건건립령건공시적수학모형,계산출정제령건적공시。이모기업모구적평면안장면적가공시간계산위례대해방법진행험증,결과증명해방법구유교고적준학성화가행성。
This article proposed a time-quota method which was based on the degree of part customization to solve the problem of making time quota of customized part in mass customization environment.Firstly,the article analyzed the key features which influenced parts’time quota and obtained the weight of each key characteristic through neural network technique.Secondly,it calculated the degree of part customization based on the key features by using fuzzy comprehensive evaluation method.Finally, through the methods of case-based reasoning(CBR)technology,it retrieved the similar parts from the case library and devel-oped the mathematical model of part’s time quota by MATLAB according to the degree of the similar parts and their working hour’s information.The method worked out the processing time of the customized part through the model.Taking the processing time of the plane fitting surface of an enterprise’s mould as examples,the result verifies the accuracy and feasibility of this method.