{"title":"数字孪生模型在板式家具行业包装流程中的应用","authors":"Guokun Wang, Xianqing Xiong, Ying Ma, Xiutong Xu","doi":"10.13073/fpj-d-24-00001","DOIUrl":null,"url":null,"abstract":"\n The packaging process in panel furniture manufacturing enterprises is the final process in production. However, there exists a lack of effective interaction and integration between the manufacturing processes and the information system. This challenge becomes more significant in the context of intelligent manufacturing. To address this, we propose a generalized digital twin workshop model for the packaging process in panel furniture manufacturing enterprises. Using this model, we establish a digital twin workshop for Company W’s packaging process, which improves interaction and integration with the information system. By analyzing the data from the workshop service system and the workshop twin data, we identify inefficiencies in the automatic packaging line and propose an optimization scheme using the digital twin workshop model. Through simulation in the virtual workshop and actual verification, we demonstrate that the proposed scheme improves the production efficiency of the automatic packaging line by approximately 20 percent and reduces the need for 5 to 6 packaging workers. Our study presents a new solution for upgrading the information system in the packaging process of panel furniture, contributing to the development and optimization of the furniture industry in the era of intelligent manufacturing.","PeriodicalId":502668,"journal":{"name":"Forest Products Journal","volume":"30 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of a Digital Twin Model in the Packaging Process of the Panel Furniture Industry\",\"authors\":\"Guokun Wang, Xianqing Xiong, Ying Ma, Xiutong Xu\",\"doi\":\"10.13073/fpj-d-24-00001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n The packaging process in panel furniture manufacturing enterprises is the final process in production. However, there exists a lack of effective interaction and integration between the manufacturing processes and the information system. This challenge becomes more significant in the context of intelligent manufacturing. To address this, we propose a generalized digital twin workshop model for the packaging process in panel furniture manufacturing enterprises. Using this model, we establish a digital twin workshop for Company W’s packaging process, which improves interaction and integration with the information system. By analyzing the data from the workshop service system and the workshop twin data, we identify inefficiencies in the automatic packaging line and propose an optimization scheme using the digital twin workshop model. Through simulation in the virtual workshop and actual verification, we demonstrate that the proposed scheme improves the production efficiency of the automatic packaging line by approximately 20 percent and reduces the need for 5 to 6 packaging workers. Our study presents a new solution for upgrading the information system in the packaging process of panel furniture, contributing to the development and optimization of the furniture industry in the era of intelligent manufacturing.\",\"PeriodicalId\":502668,\"journal\":{\"name\":\"Forest Products Journal\",\"volume\":\"30 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Forest Products Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.13073/fpj-d-24-00001\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Forest Products Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.13073/fpj-d-24-00001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
板式家具制造企业的包装过程是生产的最后一道工序。然而,生产过程与信息系统之间缺乏有效的互动和集成。在智能制造的背景下,这一挑战变得更加严峻。针对这一问题,我们提出了板式家具制造企业包装流程的通用数字孪生车间模型。利用该模型,我们为 W 公司的包装流程建立了数字孪生车间,从而提高了与信息系统的交互和集成。通过分析车间服务系统的数据和车间孪生数据,我们发现了自动包装生产线的低效问题,并利用数字孪生车间模型提出了优化方案。通过虚拟车间仿真和实际验证,我们证明了所提出的方案可将自动包装线的生产效率提高约 20%,并减少对 5 至 6 名包装工人的需求。我们的研究为板式家具包装过程中的信息系统升级提出了一种新的解决方案,有助于家具行业在智能制造时代的发展和优化。
Application of a Digital Twin Model in the Packaging Process of the Panel Furniture Industry
The packaging process in panel furniture manufacturing enterprises is the final process in production. However, there exists a lack of effective interaction and integration between the manufacturing processes and the information system. This challenge becomes more significant in the context of intelligent manufacturing. To address this, we propose a generalized digital twin workshop model for the packaging process in panel furniture manufacturing enterprises. Using this model, we establish a digital twin workshop for Company W’s packaging process, which improves interaction and integration with the information system. By analyzing the data from the workshop service system and the workshop twin data, we identify inefficiencies in the automatic packaging line and propose an optimization scheme using the digital twin workshop model. Through simulation in the virtual workshop and actual verification, we demonstrate that the proposed scheme improves the production efficiency of the automatic packaging line by approximately 20 percent and reduces the need for 5 to 6 packaging workers. Our study presents a new solution for upgrading the information system in the packaging process of panel furniture, contributing to the development and optimization of the furniture industry in the era of intelligent manufacturing.