David Chinalu Anaba, Azeez Jason Kess-Momoh, Sodrudeen Abolore Ayodeji
{"title":"The role of 3D modeling in supply chain optimization: Innovations and applications","authors":"David Chinalu Anaba, Azeez Jason Kess-Momoh, Sodrudeen Abolore Ayodeji","doi":"10.53022/oarjst.2024.11.2.0082","DOIUrl":null,"url":null,"abstract":"The role of 3D modeling in supply chain optimization has grown significantly, offering transformative benefits in design, prototyping, inventory management, production planning, logistics, and quality control. This paper explores the impact of 3D modeling technologies on these key areas, highlighting how they enhance efficiency, reduce costs, and improve overall supply chain responsiveness. It addresses high implementation costs, technical integration issues, and data management complexities. Additionally, the paper anticipates future trends, including integrating artificial intelligence and machine learning, the proliferation of cloud-based 3D modeling platforms, and advancements in additive manufacturing. Recommendations for successful implementation include investing in training, prioritizing data quality, and adopting a phased approach to integrate 3D modeling into supply chain processes. The findings underscore the critical role of 3D modeling in driving innovation and competitiveness in modern supply chains, emphasizing its potential to revolutionize the industry through enhanced visualization, simulation, and customization capabilities.","PeriodicalId":499957,"journal":{"name":"Open access research journal of science and technology","volume":"12 10","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Open access research journal of science and technology","FirstCategoryId":"0","ListUrlMain":"https://doi.org/10.53022/oarjst.2024.11.2.0082","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 role of 3D modeling in supply chain optimization has grown significantly, offering transformative benefits in design, prototyping, inventory management, production planning, logistics, and quality control. This paper explores the impact of 3D modeling technologies on these key areas, highlighting how they enhance efficiency, reduce costs, and improve overall supply chain responsiveness. It addresses high implementation costs, technical integration issues, and data management complexities. Additionally, the paper anticipates future trends, including integrating artificial intelligence and machine learning, the proliferation of cloud-based 3D modeling platforms, and advancements in additive manufacturing. Recommendations for successful implementation include investing in training, prioritizing data quality, and adopting a phased approach to integrate 3D modeling into supply chain processes. The findings underscore the critical role of 3D modeling in driving innovation and competitiveness in modern supply chains, emphasizing its potential to revolutionize the industry through enhanced visualization, simulation, and customization capabilities.