Mohamed Amejwal, Asmae El Jaouhari, Jabir Arif, Soumaya Fellaki, F. Jawab
{"title":"Production Flow Management Based on Industry 4.0 Technologies","authors":"Mohamed Amejwal, Asmae El Jaouhari, Jabir Arif, Soumaya Fellaki, F. Jawab","doi":"10.1109/LOGISTIQUA55056.2022.9938064","DOIUrl":null,"url":null,"abstract":"The industry 4.0 technologies are transforming the current industry into a smart industry. While at the same time, the application of the lean manufacturing tools has reduced the wastes and improving efficiency. The technologies of industry 4.0 have facilitated the management of production flows from the raw material to the delivery of the finished product to the final customer. Several technologies have been used to manage the workflow, such as Internet of Things (IoT), artificial intelligence (AI), cloud computing, machine learning, security, Big data, Block chain, Deep learning, Digitization, and Cyber-physical system (CPS), without knowing the best of these technologies are adapted to the management of production flows. Therefore, there is an increased need for automated solutions in the production flow management (PFM) in order to increasing the production efficiency and reduce the lead times by using these industry 4.0 technologies. Such solutions need to replace the manual effort and creating new ways of innovation technologies and development. The aims of this paper is the study the application of industry 4.0 technologies to manage the production flow in automotive industry. The results of this study show that RFID, IoT, CPS and AI are the most technologies of industry 4.0 applied in the production lines in order to minimize the production time, and the on-time delivery.","PeriodicalId":253343,"journal":{"name":"2022 14th International Colloquium of Logistics and Supply Chain Management (LOGISTIQUA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 14th International Colloquium of Logistics and Supply Chain Management (LOGISTIQUA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LOGISTIQUA55056.2022.9938064","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The industry 4.0 technologies are transforming the current industry into a smart industry. While at the same time, the application of the lean manufacturing tools has reduced the wastes and improving efficiency. The technologies of industry 4.0 have facilitated the management of production flows from the raw material to the delivery of the finished product to the final customer. Several technologies have been used to manage the workflow, such as Internet of Things (IoT), artificial intelligence (AI), cloud computing, machine learning, security, Big data, Block chain, Deep learning, Digitization, and Cyber-physical system (CPS), without knowing the best of these technologies are adapted to the management of production flows. Therefore, there is an increased need for automated solutions in the production flow management (PFM) in order to increasing the production efficiency and reduce the lead times by using these industry 4.0 technologies. Such solutions need to replace the manual effort and creating new ways of innovation technologies and development. The aims of this paper is the study the application of industry 4.0 technologies to manage the production flow in automotive industry. The results of this study show that RFID, IoT, CPS and AI are the most technologies of industry 4.0 applied in the production lines in order to minimize the production time, and the on-time delivery.