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3D打印对物流产业的影响及对策创新
引用本文:金玉然,;戢守峰,;李天柱,;董晓东,;刘小琴.3D打印对物流产业的影响及对策创新[J].技术经济与管理研究,2014(8):105-108.
作者姓名:金玉然  ;戢守峰  ;李天柱  ;董晓东  ;刘小琴
作者单位:[1]东北大学工商管理学院,辽宁沈阳110819; [2]辽宁科技大学工商管理学院,辽宁鞍山114051
基金项目:国家自然科学基金项目(71372121);教育部人文社会科学研究规划基金项目(13YJA630031);2012年度辽宁省社会科学规划基金项目(L12CJY039);2014年辽宁省教育厅人文社会科学研究项目;辽宁科技大学青年科研基金项目(2012QN12);2014年鞍山市科学技术计划资助项目。
摘    要:3D打印的强劲发展必然对传统物流产业形成重要影响。论文梳理了3D打印的发展态势与典型特征,并在此基础上,系统性地剖析了3D打印对物流产业的12项深远影响,即全球性物流网络面临战略性收缩、物流企业竞争加剧、仓储职能弱化、第四方物流公司强劲发展、原料业务成为新宠儿、零部件物流业面临生死抉择、物流污染得到改善、物流企业与消费者直接交互增多等多个方面。最后,提出了物流业的四大创新性对策,即涉足3D打印业务、借力大数据建设智慧物流、发展控制塔业务和打造供应链战略合作联盟。

关 键 词:D打印  物流企业  供应链管理  控制塔  大数据

The Impacts of 3D Printing on Logistics Industry and Measures Innovation
Institution:JIN Yu-ran, JI Shou-feng, LI Tian-zhu, DONG Xiao-dong, LIU Xiao-qin (1. School of Business Administration, Northeastern University, Shenyang Liaoning 110819, China; 2. School of Business Administration, University of Science and Technology, Anshan Liaoning 114051, China)
Abstract:Strong development of 3D printing will inevitably lead to a significant impact on traditional logistics industry. The paper analyzed the development trend and typical characteristics of 3D printing. On this basis , twenty profound impacts from the 3D printing on the logistics industry were analyzed systematically. For example , the global logistics networks will face strategic contraction , logistics companies will compete fiercely, warehousing functions will be weakened, the fourth party logistics companies will develop vigorously, the material business will become a new darling, spare parts logistics industry will face life and death decisions, logistics pollution will be improved, direct interactions will increase between logistics companies and consumer and so on. Finally, the four Innovative countermeasures for logistics industry, including logistics companies carry on the 3D printing business, leverage Big Data to build wisdom logistics, develop the control tower operations and construct the supply chain strategic alliance.
Keywords:3D printing  Logistics enterprise  Supply chain management  Control tower  Big data
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