是孤军奋战,还是统筹协同?——浙江国自机器人技术股份有限公司供应链一体化研究
Is It Fighting Alone or Coordinating?—Research on Supply Chain Integration of Zhejiang Guozi Robot Technology Co., Ltd.
摘要: 近年来,技术革新已经逐渐替代人口红利成为中国互联网经济发展的最主要推动力之一。人工智能是目前全球最受关注和最具前景的新技术应用手段。本文立足供应链一体化理论基础,以浙江国自机器人技术股份有限公司(以下简称“浙江国自”)为研究对象,对该企业供应链发展现状进行调查研究,创新性地构建供应链一体化模型,并针对该模型提出供应链管理支持体系。对于人工智能行业的创新型企业是在孤军奋战还是统筹协调,整合互通给出肯定的答案,以期对中国智能制造业高质量发展提供一定的参考。
Abstract:
In recent years, technological innovation has gradually replaced the demographic dividend and become one of the main driving forces for the development of China’s Internet economy. Artificial intelligence is the most concerned and promising new technology application in the world. Based on the theoretical basis of supply chain integration, taking Zhejiang Guozi Robot Technology Co., Ltd. (hereinafter referred to as “Zhejiang Guozi”) as the research object, this paper investigates the current situation of the enterprise’s supply chain development, creatively constructs the supply chain integration model, and puts forward the supply chain management support system for the model. Give a positive answer to whether the innovative enterprises in the artificial intelligence industry are fighting alone or coordinating as a whole, integrating and interworking, in order to provide some reference for the high-quality development of China’s intelligent manufacturing industry.
参考文献
|
[1]
|
张鑫, 王明辉. 中国人工智能发展态势及其促进策略[J]. 改革, 2019(9): 31-44.
|
|
[2]
|
张继德, 时斐. 基于电子商务的供应链管理应用研究——以苏宁易购为例[J]. 会计之友, 2014(36): 122-126.
|
|
[3]
|
戴钰慧, 王靖雅, 金丽萍. 园艺产业供应链一体化发展探究——以虹越花卉为例[J]. 现代园艺, 2020, 43(22): 135-138.
|
|
[4]
|
Stevens, G.C. (1990) Successful Supply Chain Management. Management Decision, 28, 25-30. [Google Scholar] [CrossRef]
|
|
[5]
|
刘跃, 楚实. 制造业供应链一体化能力构建问题与对策[J]. 改革与战略, 2010, 26(6): 159-162.
|
|
[6]
|
Beamon, B.M. (1998) Supply Chain Design and Analysis: Models and Methods. International Journal of Production Economics, 55, 281-294. [Google Scholar] [CrossRef]
|
|
[7]
|
张先敏. 供应链及供应链管理概念重构[J]. 财会通讯, 2015(15): 116-123.
|
|
[8]
|
郭向阳. 供应链一体化下的战略采供关系研究[J]. 深圳信息职业技术学院学报, 2006, 4(1): 43-47.
|
|
[9]
|
刘玉伟, 贾涛, 高艳. 考虑分组策略的供应链一体化生产-配送模型[J]. 工业工程与管理, 2015, 20(2): 7-15.
|
|
[10]
|
孙富奇. 国自机器人: 深入场景定制破局光伏智能——专访浙江国自机器人技术股份有限公司智慧物流事业部产品总监金律君[J]. 中国储运, 2021(8): 66-67.
|
|
[11]
|
刘巧. 基于物联网构架的服务供应链企业管理创新研究[J]. 商场现代化, 2015(12): 92-93.
|
|
[12]
|
陆朦朦, 刘辉. 内容2.0的未来: 智能化生产盈利模式探析[J]. 出版广角, 2019(7): 18-22.
|
|
[13]
|
吴汉东. 人工智能时代的制度安排与法律规制[J]. 法律科学(西北政法大学学报), 2017, 35(5): 128-136.
|
|
[14]
|
谢磊, 马士华, 桂华明, 黄培. 供应物流协同影响机制实证分析[J]. 科研管理, 2014, 35(3): 147-154.
|
|
[15]
|
闫飞. 信息化与供应链物流[J]. 现代企业, 2013(8): 58-59.
|
|
[16]
|
胡爽, 董周战. 基于层次分析法的供应商风险评估指标[J]. 航空标准化与质量, 2016(2): 35-38.
|