{"title":"后疫情时代智能制造企业智能物流供应链路径研究–––––以东莞BG科技有限公司为例","authors":"Fei Lei, Xiaoshuang Yi, Yifang Zhan, Xuehua Lv, Qi Xiao, Ziming Tong, Shixing Lei","doi":"10.1109/WCMEIM56910.2022.10021410","DOIUrl":null,"url":null,"abstract":"The new crown epidemic sweeping the world has brought great challenges and uncertainties to the logistics supply chain of intelligent manufacturing enterprises. In the post-epidemic era where epidemic prevention is normalized, the traditional supply chain management of intelligent manufacturing enterprises relying on traditional labor, low informationization and low efficiency has revealed long material procurement cycle, serious information silos, difficulty in meeting customer delivery time, difficulty in improving efficiency and effectiveness, and high operation costs. The rise and development of smart supply chain provides an effective method and path for smart manufacturing to highly effect the rapidly uncertain changing logistics situation and the increasingly fierce international market competition. If smart manufacturing enterprises want to give full play to the potential and advantages of smart supply chain, they need to build a scientific, systematic and collaborative smart supply chain management system as a support. Based on this, the article proposes to build a networked, automated, digital and intelligent technology and management integrated system of smart supply chain for smart manufacturing enterprises to continuously improve the core competitiveness of the supply chain, and expects to provide some reference for smart manufacturing enterprises to quickly build a smart logistics system.","PeriodicalId":202270,"journal":{"name":"2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Study on the Smart Logistics Supply Chain Path for Smart Manufacturing Enterprises in the Post-Epidemic Era–––––Taking Dongguan BG Technology Co. as an Example\",\"authors\":\"Fei Lei, Xiaoshuang Yi, Yifang Zhan, Xuehua Lv, Qi Xiao, Ziming Tong, Shixing Lei\",\"doi\":\"10.1109/WCMEIM56910.2022.10021410\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The new crown epidemic sweeping the world has brought great challenges and uncertainties to the logistics supply chain of intelligent manufacturing enterprises. 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Study on the Smart Logistics Supply Chain Path for Smart Manufacturing Enterprises in the Post-Epidemic Era–––––Taking Dongguan BG Technology Co. as an Example
The new crown epidemic sweeping the world has brought great challenges and uncertainties to the logistics supply chain of intelligent manufacturing enterprises. In the post-epidemic era where epidemic prevention is normalized, the traditional supply chain management of intelligent manufacturing enterprises relying on traditional labor, low informationization and low efficiency has revealed long material procurement cycle, serious information silos, difficulty in meeting customer delivery time, difficulty in improving efficiency and effectiveness, and high operation costs. The rise and development of smart supply chain provides an effective method and path for smart manufacturing to highly effect the rapidly uncertain changing logistics situation and the increasingly fierce international market competition. If smart manufacturing enterprises want to give full play to the potential and advantages of smart supply chain, they need to build a scientific, systematic and collaborative smart supply chain management system as a support. Based on this, the article proposes to build a networked, automated, digital and intelligent technology and management integrated system of smart supply chain for smart manufacturing enterprises to continuously improve the core competitiveness of the supply chain, and expects to provide some reference for smart manufacturing enterprises to quickly build a smart logistics system.