In the textile industry,garment manufacturing contains four major pro-cesses containing cutting,sewing,finishing,and packaging.Sewing is the most crucial and intricate section,dealing with a large number of varied oper...In the textile industry,garment manufacturing contains four major pro-cesses containing cutting,sewing,finishing,and packaging.Sewing is the most crucial and intricate section,dealing with a large number of varied operations.A successful sewing process needs to be optimized regarding different factors,including time,sewing equipment,and skilled workers.Assembly lineflow is combined by a set of operations with a particular sequence.The utmost impor-tance of all garment industry is to arrange the workstations to minimize the num-ber of employees in order to produce at the best productive rate with the most reasonable cost,shortest time,and satisfying quality.In most garment factories,the production lines are balanced using the empirical judgment of the line man-agers.For the whole process the data of production time at each step,labor pro-ductivity,proper choices of equipment were always needed to calculate line efficiency.As far as the issue is concerned,there has not been an academically sewing process analyzing software providing adequate data of sewing motions and sewing time as the credible input for the line balancing tasks.Towards this goal,this paper presents the results of research on optimizing academically self-built software to analyze the sewing process of knitted products applied to industrial production using Java programming language on Google tools.The results achieved by the software are not only to analyze sewing products and the technological sewing process,calculate the sewing time on the machine but also analyze the sewing activities of workers into manipulations,movements,and motions to calculate the preparation time for two typical knitted products,namely,Polo-Shirt and T-Shirt with the case studies at General Textile Garment Joint Stock Company Hanoi and Star Fashion Company Limited.展开更多
MTM(Metal To Metal)反熔丝薄膜工艺是反熔丝工艺的关键技术。介绍了MTM反熔丝薄膜单项工艺开发采用的DOE(Design of Experiment)试验方法。基于CVD(Chemical Vapor Deposition)工艺,通过对射频RF、气体1流量以及基座间距进行DOE试验设...MTM(Metal To Metal)反熔丝薄膜工艺是反熔丝工艺的关键技术。介绍了MTM反熔丝薄膜单项工艺开发采用的DOE(Design of Experiment)试验方法。基于CVD(Chemical Vapor Deposition)工艺,通过对射频RF、气体1流量以及基座间距进行DOE试验设计,以厚度均匀性、折射率以及应力等工艺参数响应并通过容宽验证,完成反熔丝薄膜主要参数的工艺菜单开发。主要提供一种采用DOE试验设计进行单项工艺开发的方法,为科研生产中各种关键单项工艺开发提供参考和借鉴。展开更多
基金This study was carried out within the framework of the topic Science and Technology 01C–02/04–2019–3.
文摘In the textile industry,garment manufacturing contains four major pro-cesses containing cutting,sewing,finishing,and packaging.Sewing is the most crucial and intricate section,dealing with a large number of varied operations.A successful sewing process needs to be optimized regarding different factors,including time,sewing equipment,and skilled workers.Assembly lineflow is combined by a set of operations with a particular sequence.The utmost impor-tance of all garment industry is to arrange the workstations to minimize the num-ber of employees in order to produce at the best productive rate with the most reasonable cost,shortest time,and satisfying quality.In most garment factories,the production lines are balanced using the empirical judgment of the line man-agers.For the whole process the data of production time at each step,labor pro-ductivity,proper choices of equipment were always needed to calculate line efficiency.As far as the issue is concerned,there has not been an academically sewing process analyzing software providing adequate data of sewing motions and sewing time as the credible input for the line balancing tasks.Towards this goal,this paper presents the results of research on optimizing academically self-built software to analyze the sewing process of knitted products applied to industrial production using Java programming language on Google tools.The results achieved by the software are not only to analyze sewing products and the technological sewing process,calculate the sewing time on the machine but also analyze the sewing activities of workers into manipulations,movements,and motions to calculate the preparation time for two typical knitted products,namely,Polo-Shirt and T-Shirt with the case studies at General Textile Garment Joint Stock Company Hanoi and Star Fashion Company Limited.
文摘MTM(Metal To Metal)反熔丝薄膜工艺是反熔丝工艺的关键技术。介绍了MTM反熔丝薄膜单项工艺开发采用的DOE(Design of Experiment)试验方法。基于CVD(Chemical Vapor Deposition)工艺,通过对射频RF、气体1流量以及基座间距进行DOE试验设计,以厚度均匀性、折射率以及应力等工艺参数响应并通过容宽验证,完成反熔丝薄膜主要参数的工艺菜单开发。主要提供一种采用DOE试验设计进行单项工艺开发的方法,为科研生产中各种关键单项工艺开发提供参考和借鉴。
