Lubba Saha, Subir Dey Raju, Mushfiqur Rahman Chowdhury, K. Salam
{"title":"Implementation of a Web-based Technology for Readymade Garments Manufacturing Defects","authors":"Lubba Saha, Subir Dey Raju, Mushfiqur Rahman Chowdhury, K. Salam","doi":"10.1109/CONIT51480.2021.9498295","DOIUrl":null,"url":null,"abstract":"Readymade garments (RMG) manufacturing defects carry a significant role in reducing the quality of the products. Real-time production data tracking can play an important role to track those defects. A web-based software like InTrack can be a pioneer to produce that trackable data. InTrack is a Quality Control (QC) web-application to track RMG manufacturing defects using production line data. It requires complex architectural decisions for the backend and intricate management of frontend states and components. We have studied in-depth into the engineering of such a data intensive web-application and applicable for the RMG industies.","PeriodicalId":426131,"journal":{"name":"2021 International Conference on Intelligent Technologies (CONIT)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Intelligent Technologies (CONIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CONIT51480.2021.9498295","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Readymade garments (RMG) manufacturing defects carry a significant role in reducing the quality of the products. Real-time production data tracking can play an important role to track those defects. A web-based software like InTrack can be a pioneer to produce that trackable data. InTrack is a Quality Control (QC) web-application to track RMG manufacturing defects using production line data. It requires complex architectural decisions for the backend and intricate management of frontend states and components. We have studied in-depth into the engineering of such a data intensive web-application and applicable for the RMG industies.