Arijit Ghosh, Suchitra Kumari, S. Mondal, A. Ahmadian
{"title":"Industry 4.0 and Its Practice in Terms of Fuzzy Uncertain Environment","authors":"Arijit Ghosh, Suchitra Kumari, S. Mondal, A. Ahmadian","doi":"10.1201/9781003138341-4-4","DOIUrl":null,"url":null,"abstract":"Industry 4.0 comprises an optimum mix of speed, flexibility, quality, technology, business efficiency and environmental efficiency which leads to a safer and secured future. The previous revolutions have all been designed on the idea of creating newer technologies and have thereby chanced upon editing the flaws which comes with creating but the newest Industry 4.0 deals with taking whatever technology is already present in the market and actively removing all the clutter associated with it which eventually makes this process an innovation through and through. In spite of innovating upon the base technology to build processes for a better industrial future, there are some problems which do not have a clear-cut solution and this is where Fuzzy mathematical modeling comes into play.\n Moreover, with talks of Industry 5.0 surfacing, which is considered as the age of robots, a robot is given clear cut instructions as to a manufacturing process even in an uncertain environment. Thus, the process is slightly modified; a fuzzy modeling will be capable of handling such imprecise situations.","PeriodicalId":143757,"journal":{"name":"Soft Computing Approach for Mathematical Modeling of Engineering Problems","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Soft Computing Approach for Mathematical Modeling of Engineering Problems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1201/9781003138341-4-4","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
Industry 4.0 comprises an optimum mix of speed, flexibility, quality, technology, business efficiency and environmental efficiency which leads to a safer and secured future. The previous revolutions have all been designed on the idea of creating newer technologies and have thereby chanced upon editing the flaws which comes with creating but the newest Industry 4.0 deals with taking whatever technology is already present in the market and actively removing all the clutter associated with it which eventually makes this process an innovation through and through. In spite of innovating upon the base technology to build processes for a better industrial future, there are some problems which do not have a clear-cut solution and this is where Fuzzy mathematical modeling comes into play.
Moreover, with talks of Industry 5.0 surfacing, which is considered as the age of robots, a robot is given clear cut instructions as to a manufacturing process even in an uncertain environment. Thus, the process is slightly modified; a fuzzy modeling will be capable of handling such imprecise situations.