{"title":"Prisma Analysis of Innovative Technologies on Advancement of Optimisation of Manufacturing Industry","authors":"N. Mulongo, Mahtlatse Matlala, K. Mushavhanamadi","doi":"10.1109/SmartNets58706.2023.10215876","DOIUrl":null,"url":null,"abstract":"The swift advancement of modern innovation has created a significant change within various sectors, particularly in manufacturing industry. Consequently, several companies have started to investigate for innovative administrative configuration and policy in order to implement artificial intelligence technologies into their production routes. Hence, the tool such as, the Computer Aided Manufacturing is considered as a key player in optimizing the manufacturing industry and mostly in the change to smart manufacturing. The advent of industry 4.0 has resulted in novel business patterns, which are more and more adopted in the manufacturing sector. To this end, the present research paper sought to use the Prisma approach to critically review the existing literature in the field of artificial intelligence to demonstrates and outlines its key role on the advancement and optimising the production processes of goods within the manufacturing industry. The review process demonstrates that the advent of artificial intelligence has the ability to significantly improve the productivity, flexibility, and efficiency whilst enabling smart decision-making of the operations related to supply chain. The study sought to offer a clear idea for company and organization that wishes to provide a roadmap for digitizing the various manufacturing operations and techniques. It is also expected that by presenting this review, both academics and industrial practitioners will gain access to a hands-on library of information on impact of new technology and Artificial Intelligence. In assuring the credibility of the Prisma approach, each search term or keyword was separately examined.","PeriodicalId":301834,"journal":{"name":"2023 International Conference on Smart Applications, Communications and Networking (SmartNets)","volume":"125 5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Smart Applications, Communications and Networking (SmartNets)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SmartNets58706.2023.10215876","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
The swift advancement of modern innovation has created a significant change within various sectors, particularly in manufacturing industry. Consequently, several companies have started to investigate for innovative administrative configuration and policy in order to implement artificial intelligence technologies into their production routes. Hence, the tool such as, the Computer Aided Manufacturing is considered as a key player in optimizing the manufacturing industry and mostly in the change to smart manufacturing. The advent of industry 4.0 has resulted in novel business patterns, which are more and more adopted in the manufacturing sector. To this end, the present research paper sought to use the Prisma approach to critically review the existing literature in the field of artificial intelligence to demonstrates and outlines its key role on the advancement and optimising the production processes of goods within the manufacturing industry. The review process demonstrates that the advent of artificial intelligence has the ability to significantly improve the productivity, flexibility, and efficiency whilst enabling smart decision-making of the operations related to supply chain. The study sought to offer a clear idea for company and organization that wishes to provide a roadmap for digitizing the various manufacturing operations and techniques. It is also expected that by presenting this review, both academics and industrial practitioners will gain access to a hands-on library of information on impact of new technology and Artificial Intelligence. In assuring the credibility of the Prisma approach, each search term or keyword was separately examined.