Data Mining for the Optimization of Production Scheduling in Flexible Manufacturing System

摘要：

Provided with plenty of data(experience),data miningtechniques are widely used to extract suitable managementskills from the data.Nevertheless,in the early stages ofa manufacturing system,only rare data can be obtained,and built scheduling knowledge is usually fragile.Inmost research process of production scheduling based onsimulation conditions,the waiting time of every essentialstep is often omitted.But the time is very important toactual flexible manufacturing system,so we propose anovel approach combing data mining technique,and themulti-agent simulation platform to find the optimizationof production scheduling.After experiments,the resultsof production scheduling problem can be significantlyimproved using the proposed method.

作者: Yan Cao Xu Xu Fengru Sun

作者单位: College of Electronic and Information Engineering Lanzhou Jiaotong University Lanzhou,730070,ER.Chin School of Economics and Management Tongji University Shanghai,201804,P.R.China Department of City Economics and Tourism Management Lanzhou City College Lanzhou,730070,P.R.China

会议类型: 国际会议

会议名称: 2008 3rd International Conference on Intelligent System and Knowledge Engineering(第三届智能系统与知识工程国际会议)(ISKE 2008)

会议地点: 厦门

会议语种:英文

页码: 252-255

在线出版日期: 2008-11-17（万方平台首次上网日期，不代表论文的发表时间）