智慧物流发展的动因、架构和建议
|
摘要
当前,受物流行业规模和网络经济达到拐点、资源整合红利吸引科技企业进入、物流需求快速迭代升级、智能技术逐步实现商业化应用、人工智能替代劳动力以应对劳动力供给长期短缺等五方面因素驱动,我国物流信息化正加速进入以物流业务数字化和物流数据业务化为主要特征的智慧物流时代,智慧物流时代即将到来。智慧物流核心逻辑框架下,物流活动主要由基础层、作业层、感知层、传输层、分析层、决策层组成,具有自动感知、自我判断、智慧决策、自动执行、深度协同、智能学习等特点。为更好地推动我国智慧物流发展和现代物流运作模式、企业经营管理模式、政府监管模式变革,必须正确认识当前我国智慧物流发展面临的诸多障碍,进一步加快完善智慧物流标准体系建设,加快推动物流企业数字化改造,充分利用智慧物流协作共享空间,加强物流数据政企共享合作应用,向多式联运上下游产业链延伸。
Logistics informalization in China has entered into a new era of intelligent logistics,which is featured by the digitalization of logistics process and the industrialization of logistics data. There are several reasons for the speeding up of intelligent logistics,including the scale economy of logistics industry reaching break point,the entering of high-tech startups due to resource integration benefits,the upgrading of logistic demands,the commercial application of intelligent technology and the replacement of robotics to overcome the shortage of labor force. Within the core logic framework of the intelligent logistics era,logistics activities will be composed of basic layer,operation layer,perception layer,transmission layer,analysis layer and decision-making layer,featuring automatic perception,self-judgment,intelligent decision-making,automatic execution,deep coordination and intelligent learning. To better promote the development of China’s intelligent logistics,and changes in the pattern of modern logistic operation,operational management as well as government regulation,we should fully understand the existing barriers hindering the development of China’s intelligent logistics,further perfect the standardization of intelligent logistics system,accelerate the digital transformation of logistics enterprises,give full play to the role of the coordinated sharing space,strengthen the data cooperation between government and enterprises,and extend to the down-and up-stream industrial chain.
Logistics informalization in China has entered into a new era of intelligent logistics,which is featured by the digitalization of logistics process and the industrialization of logistics data. There are several reasons for the speeding up of intelligent logistics,including the scale economy of logistics industry reaching break point,the entering of high-tech startups due to resource integration benefits,the upgrading of logistic demands,the commercial application of intelligent technology and the replacement of robotics to overcome the shortage of labor force. Within the core logic framework of the intelligent logistics era,logistics activities will be composed of basic layer,operation layer,perception layer,transmission layer,analysis layer and decision-making layer,featuring automatic perception,self-judgment,intelligent decision-making,automatic execution,deep coordination and intelligent learning. To better promote the development of China’s intelligent logistics,and changes in the pattern of modern logistic operation,operational management as well as government regulation,we should fully understand the existing barriers hindering the development of China’s intelligent logistics,further perfect the standardization of intelligent logistics system,accelerate the digital transformation of logistics enterprises,give full play to the role of the coordinated sharing space,strengthen the data cooperation between government and enterprises,and extend to the down-and up-stream industrial chain.
引文
[1]胥军,李金,湛志勇.智能物流系统的相关理论及技术与应用研究[J].科技创新与生产力,2011(4):13-18.
[2]石亚萍.基于物联网的智慧物流[J].物流技术,2011,30(17):44-49.
[3]董淑华,刘敬佳.智能物流系统架构与解决方案[J].信息化研究,2012,38(5):6-15.
[4]张向阳,袁泽沛.网购时代我国“智慧云物流”平台体系与协同运营模式研究[J].中国科技论坛,2013(7):99-104.
[5]王之泰.城镇化需要“智慧物流”[J].中国流通经济,2014,28(3):4-8.
[6]邵广利.基于物联网技术的智慧物流发展模式研究[J].物流工程与管理,2015,37(11):111-114.
[7]张玲玲,薛劝劝,赵鸣.基于云平台的智慧物流系统构建[J].信息与电脑(理论版),2016(4):15-17.
[8]何黎明.中国智慧物流发展趋势[J].中国流通经济,2017,31(6):3-7.
[9]工业4.0:打造数字化企业运输和物流业重要发现[EB/OL].(2016-09-28)[2018-09-01].https://www.pwccn.com/zh/industries/real-estate/publications/industry-40-building-the-digital-enterprise-transportation-and-logisticskey-findings.html.
[10]王先庆,彭雷清.物流革命与物流创新的方向、路径及策略[J].中国流通经济,2017(7):120-126.
[11]交通运输部.中国道路运输发展报告(2017)[M].北京:人民交通出版社,2018:35-37.
[12]高宁,倪立明.物联网在智慧物流管理中的应用[J].物流工程与管理,2016(1):37-40.
[13]付平德.基于大数据的智慧物流模式构建[J].物流技术,2018(1):135-139.
[14]CAMHI J.How AI will reshape the logistics and transport industry[R].BI Intelligence,2018.
[15]孙毅,范灵俊,洪学海.区块链技术发展及应用:现状与挑战[J].中国工程科学,2018(2):27-32.
[2]石亚萍.基于物联网的智慧物流[J].物流技术,2011,30(17):44-49.
[3]董淑华,刘敬佳.智能物流系统架构与解决方案[J].信息化研究,2012,38(5):6-15.
[4]张向阳,袁泽沛.网购时代我国“智慧云物流”平台体系与协同运营模式研究[J].中国科技论坛,2013(7):99-104.
[5]王之泰.城镇化需要“智慧物流”[J].中国流通经济,2014,28(3):4-8.
[6]邵广利.基于物联网技术的智慧物流发展模式研究[J].物流工程与管理,2015,37(11):111-114.
[7]张玲玲,薛劝劝,赵鸣.基于云平台的智慧物流系统构建[J].信息与电脑(理论版),2016(4):15-17.
[8]何黎明.中国智慧物流发展趋势[J].中国流通经济,2017,31(6):3-7.
[9]工业4.0:打造数字化企业运输和物流业重要发现[EB/OL].(2016-09-28)[2018-09-01].https://www.pwccn.com/zh/industries/real-estate/publications/industry-40-building-the-digital-enterprise-transportation-and-logisticskey-findings.html.
[10]王先庆,彭雷清.物流革命与物流创新的方向、路径及策略[J].中国流通经济,2017(7):120-126.
[11]交通运输部.中国道路运输发展报告(2017)[M].北京:人民交通出版社,2018:35-37.
[12]高宁,倪立明.物联网在智慧物流管理中的应用[J].物流工程与管理,2016(1):37-40.
[13]付平德.基于大数据的智慧物流模式构建[J].物流技术,2018(1):135-139.
[14]CAMHI J.How AI will reshape the logistics and transport industry[R].BI Intelligence,2018.
[15]孙毅,范灵俊,洪学海.区块链技术发展及应用:现状与挑战[J].中国工程科学,2018(2):27-32.