本文探讨了智慧物流背景下研究应用型高校物流管理专业的教学改革。智慧物流依托物联网、大数据等新兴技术,具有智能化和灵活性,对物流人才提出了更高要求,包括大数据分析、智能仓储管理及适应自动化发展的能力。然而,传统物流管理课程...本文探讨了智慧物流背景下研究应用型高校物流管理专业的教学改革。智慧物流依托物联网、大数据等新兴技术,具有智能化和灵活性,对物流人才提出了更高要求,包括大数据分析、智能仓储管理及适应自动化发展的能力。然而,传统物流管理课程在师资力量、培养目标、实践教学、校企合作及科研项目等方面存在诸多局限性。为此,研究应用型高校需从以下方面进行改革:加强师资队伍建设、优化课程体系、创新实践教学模式、深化校企合作、推动智慧物流技术在教学中的应用、提升科研与实践的结合度、完善多元化评价机制、优化智慧物流工程师的培养路径。通过这些措施,研究应用型高校将能够培养出适应智慧物流时代需求的高素质应用型人才,推动物流管理专业的持续发展。This paper explores the teaching reform of logistics management majors in applied research universities under the background of smart logistics. Smart logistics, relying on emerging technologies such as the Internet of Things and big data, features intelligence and flexibility, demanding higher skills from logistics professionals, including big data analysis, intelligent warehouse management, and adaptability to automation developments. However, traditional logistics management courses face many limitations in terms of faculty strength, training objectives, practical teaching, industry-university cooperation, and research projects. To address these issues, applied research universities need to reform in the following areas: strengthen faculty development, optimize the curriculum system, innovate practical teaching models, deepen industry-university cooperation, promote the application of smart logistics technologies in teaching, enhance the integration of research and practice, improve the multi-faceted evaluation mechanism, and optimize the training path for smart logistics engineers. Through these measures, applied research universities will be able to cultivate high-quality application-oriented talents that meet the demands of the smart logistics era and drive the sustainable development of logistics management majors.展开更多
文摘本文探讨了智慧物流背景下研究应用型高校物流管理专业的教学改革。智慧物流依托物联网、大数据等新兴技术,具有智能化和灵活性,对物流人才提出了更高要求,包括大数据分析、智能仓储管理及适应自动化发展的能力。然而,传统物流管理课程在师资力量、培养目标、实践教学、校企合作及科研项目等方面存在诸多局限性。为此,研究应用型高校需从以下方面进行改革:加强师资队伍建设、优化课程体系、创新实践教学模式、深化校企合作、推动智慧物流技术在教学中的应用、提升科研与实践的结合度、完善多元化评价机制、优化智慧物流工程师的培养路径。通过这些措施,研究应用型高校将能够培养出适应智慧物流时代需求的高素质应用型人才,推动物流管理专业的持续发展。This paper explores the teaching reform of logistics management majors in applied research universities under the background of smart logistics. Smart logistics, relying on emerging technologies such as the Internet of Things and big data, features intelligence and flexibility, demanding higher skills from logistics professionals, including big data analysis, intelligent warehouse management, and adaptability to automation developments. However, traditional logistics management courses face many limitations in terms of faculty strength, training objectives, practical teaching, industry-university cooperation, and research projects. To address these issues, applied research universities need to reform in the following areas: strengthen faculty development, optimize the curriculum system, innovate practical teaching models, deepen industry-university cooperation, promote the application of smart logistics technologies in teaching, enhance the integration of research and practice, improve the multi-faceted evaluation mechanism, and optimize the training path for smart logistics engineers. Through these measures, applied research universities will be able to cultivate high-quality application-oriented talents that meet the demands of the smart logistics era and drive the sustainable development of logistics management majors.
