{"title":"机织物生产过程控制的知识管理系统设计方法","authors":"D. Dzemydienė, Edgaras Arbataitis, Ignas Dzemyda","doi":"10.22364/BJMC.2019.7.2.03","DOIUrl":null,"url":null,"abstract":"The aim of effective management of manufacturing processes requires special methods of knowledge management integrated in multi-layered architecture of components of enterprise recourse planning system. Our research work is devoted for extension of knowledge-based management system by integration of specific business management rules for adaptable control of manufacturing processes of woven fabrics. The proposed framework can help for manufacturing process realization of woven fabrics by solving key issues related to rules and data for product design and process planning. This could help knowledge-based system self-learn and change in order to cope with ever-changing business requirements. With this study, we are trying to fill the gap related with knowledge-based methods for effective manufacturing process of woven fabrics.","PeriodicalId":431209,"journal":{"name":"Balt. J. Mod. Comput.","volume":"290 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The Design Approach of Knowledge-based Management System for Control of Manufacturing Processes of Woven Fabrics\",\"authors\":\"D. Dzemydienė, Edgaras Arbataitis, Ignas Dzemyda\",\"doi\":\"10.22364/BJMC.2019.7.2.03\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The aim of effective management of manufacturing processes requires special methods of knowledge management integrated in multi-layered architecture of components of enterprise recourse planning system. Our research work is devoted for extension of knowledge-based management system by integration of specific business management rules for adaptable control of manufacturing processes of woven fabrics. The proposed framework can help for manufacturing process realization of woven fabrics by solving key issues related to rules and data for product design and process planning. This could help knowledge-based system self-learn and change in order to cope with ever-changing business requirements. With this study, we are trying to fill the gap related with knowledge-based methods for effective manufacturing process of woven fabrics.\",\"PeriodicalId\":431209,\"journal\":{\"name\":\"Balt. J. Mod. Comput.\",\"volume\":\"290 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Balt. J. Mod. Comput.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.22364/BJMC.2019.7.2.03\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Balt. J. Mod. Comput.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22364/BJMC.2019.7.2.03","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Design Approach of Knowledge-based Management System for Control of Manufacturing Processes of Woven Fabrics
The aim of effective management of manufacturing processes requires special methods of knowledge management integrated in multi-layered architecture of components of enterprise recourse planning system. Our research work is devoted for extension of knowledge-based management system by integration of specific business management rules for adaptable control of manufacturing processes of woven fabrics. The proposed framework can help for manufacturing process realization of woven fabrics by solving key issues related to rules and data for product design and process planning. This could help knowledge-based system self-learn and change in order to cope with ever-changing business requirements. With this study, we are trying to fill the gap related with knowledge-based methods for effective manufacturing process of woven fabrics.