基于聚类和统计分析的模具工序标准工时制定方法  

On Standard Operation Time for Mould Production Based on Clustering Analysis and Statistical Analysis

作　　者：罗文德[1] 陈庆新[1] 毛宁[1] 俞爱林[1] 刘建军[1] 

机构地区：[1]广东工业大学机电工程学院,广东广州510006

出　　处：《工业工程》2013年第4期126-132,共7页Industrial Engineering Journal

基　　金：国家自然科学基金资助项目(51175094);国家863计划CIMS资助项目(2006AA04Z132);广东省自然科学基金团队资助项目(05200197);广东省科技攻关资助项目(2004B10201030)

摘　　要：为了解决由于模具产品的种类繁多、产品结构缺乏相似性,所导致的模具产品难以进行分类统计,模具产品的标准工时难以预先估计的问题,综合运用多种成熟的统计理论和方法,提出了基于聚类和统计分析的模具工序标准工时制定方法。在该方法中,以企业实际生产的工时数据为依据,通过建立聚类分析模型对模具产品进行分类,利用统计分析模型对各类别中的工时数据进行了分布统计和显著性检验,得到了工时的统计分布和标准工时,并通过实例分析验证了方法的可行性。Due to the wide varieties of mould products and the lack of structure similarity, it is difficult to set the standard operation times in mould production. To deal with this problem, based on clustering analysis and statistical analysis, an estimation method is proposed. By this method, with the actual man-hour information collected from an enterprise as basic data, a clustering analysis model is constructed for the process to classify the products. In addition, a statistical analysis model is constructed to establish the sta- tistical distribution of operation times and standard operation times. Finally, the feasibility of the proposed method is verified by an industrial case problem.

关 键 词：标准工时 聚类分析 统计分析 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]