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Women Optimization Of The Production Line Design And Simulation System

Posted on:2010-08-06Degree:MasterType:Thesis
Country:ChinaCandidate:B WangFull Text:PDF
GTID:2191360275464333Subject:Costume design and engineering
Abstract/Summary:PDF Full Text Request
With increasing global market competition and rapidly developing information technologies,how to meet the rapidly changing market has become the crucial issue for the survival and development of the garment manufacture industry.The characteristics of the market are smaller batch,more varieties and shorter cycle.The purpose of this research is to optimize and standardize process planning,shorten production cycle,and enhance the quality of process documentation.At tha same time, it can reduce the dependence on operators' technological level and experience,and adapt to the development needs of multi-type,small batch,short periods and high quality. With virtual simulation,some problems that may come along in production will be found and adjusted in advance.In this respect,factorise can improve productiong efficiency and reduce unnecessary waste.By analyzing on the actual process data in workshop,the database was builded with Delphi.Then this article studied on the design of garment production line and the optimization of personnel arranging under the FMS condition,and explored practical applied software on the basis of the Genetic Algorithms model.It was easy to use the optimization system to manage process data by linking the database and GA program. At last,the optimization result could be demonstrated by Flash MX.Based on the demo, we can adjust the arrangement.By using the VC,the study compiles program and realizes the balancing design of the dress hanger streamline.Compared with blouse,skirt and trousers,it confirmed that this banlancing system is correct and advanced.Through further perfected,the optimization system could contribute for garment manufactures to meet the requirement of modern market.
Keywords/Search Tags:Dress Optimation Design, Streamline, Smoothness Index, Genetic Algorithm, Virtual Simulation
PDF Full Text Request
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