Intelligent Factory Production Organization and Collaborative Management in the Context of Digital Intelligence:Design and Manufacturing Integration Collaborative Research and Development Model
Sun Yuxiang1, He Daiwei 1, Zhou Xianzhong 1,2
1. School of Management and Engineering,Nanjing University,Nanjing 210093,China; 2. Research Center for Novel Technology of Intelligent Equipment,Nanjing University,Nanjing 210093,China
Abstract：In the environment of rapid development of big data and intelligent algorithms,this article studies the matching management theories and methods for intelligent manufacturing in intelligent factories,that is,matching intelligent management theories,methods and technologies for optimization and control of product production service integration.This article is based on the theory of shared value networks and proposes four contents for intelligent optimization and control in the operation and management of intelligent factories:product design management,production management,resource management,and knowledge discovery and management.By integrating product design and production in intelligent factories,adaptive online design and production network collaboration mechanism,production intelligent scheduling and dynamic optimization models and algorithms,intelligent grading and control of resources,collaboration and sharing of manufacturing resources in distributed heterogeneous environments,resource management under the value concept of demand traction and sharing,and construction and management of intelligent factory knowledge system.The resource status analysis and knowledge discovery based on big data and the knowledge discovery and application oriented to intelligent factory management are studied in depth to realize the optimization of production and management of intelligent factory in the whole life cycle under the background of intelligent factory,so as to achieve the level of collaboration,intelligence,flexible reorganization,and mass customization of intelligent factory management,and maximize the resource utilization of intelligent factory.It provides a theory and method system with theoretical significance and practical value for manufacturing enterprises to comply with the strategic plan of“Made in China 2025”and realize intelligent operation management of product R&D,design,production and operation throughout the life cycle.
孙宇祥, 何代炜, 周献中. 数智化情境下智能工厂生产组织与协同管理:设计制造一体化协同研发模式[J]. 中国科技论坛, 2024(10): 152-165.
Sun Yuxiang, He Daiwei , Zhou Xianzhong. Intelligent Factory Production Organization and Collaborative Management in the Context of Digital Intelligence:Design and Manufacturing Integration Collaborative Research and Development Model. , 2024(10): 152-165.
[1]那什.人工智能成为新生产力引擎[N].人民邮电,2023-07-13(6). [2]何宇,陈珍珍,盛三化.人工智能与全球价值链重构:理论机制与中国对策[J/OL].西安财经大学学报:1-12[2024-03-08].https://doi.org/10.19331/j.cnki.jxufe.20240304.002. [3]吕越,张杰.人工智能与产业链韧性提升[J].西安交通大学学报(社会科学版),2024,44(2):29-38. [4]何茜茜,高翔,黄建忠.工业机器人应用与制造业产业链供应链韧性提升——来自中国企业全球价值链嵌入的证据[J].国际贸易问题,2024(2):71-89. [5]HUMPHREY J,SCHMITZ H.Governance in global value chains[J].IDS Bulletin,2001,32(3):19-29. [6]王琴.基于价值网络重构的企业商业模式创新[J].中国工业经济,2011(1):79-88. [7]张文德,潘雅婷,刘田.基于价值网络的高校科技成果转化模式研究[J].情报探索,2022,301(11):43-49. [8]卢益清,李忱.O2O商业模式及发展前景研究[J].企业经济,2013(11):98-101. [9]刘子龙.B2C商业模式比较研究[J].电子商务,2009(1):55-59. [10]戴国良.C2B电子商务的概念、商业模型与演进路径[J].商业经济研究,2013(17):53-54. [11]刘思宇.B2C和C2C商业模式下微商运营方式探究[J].科教导刊(上旬刊),2017(28):149-150. [12]飞,韩晓媛,陈瑞华.新质生产力赋能现代化产业体系:内在逻辑与实现路径[J].当代经济管理,2024,46(6):12-19. [13]洪银兴.发展新质生产力建设现代化产业体系[J].当代经济研究,2024(2):7-9. [14]RAMON C M,JOAN E R. From strategy to business models and onto tactics[J].Long Range Planning,2010,43(2/3):1-215. [15]CHESBROUGH H.Business model jnnovation:it's not just about technology anymore[J].Strategy & Leadership,2013,35(6):12-17. [16]MATZLER K,BAILOM F,VOND E S F,et al.Business model innovation:coffee triumphs for nespresso[J].Journal of Business Strategy,2013,34(2):30-37. [17]曹路苹,郭韬,李盼盼.科技创新生态位、数字经济与科技型企业商业模式创新[J].科技进步与对策,2024,41(14):21-30. [18]周文泳,胡雯,陈康辉,等.低碳背景下制造业商业模式创新策略研究——以卡特彼勒公司为例[J].管理评论,2012,24(11):20-27. [19]韩继超.系统集成与价值网络协作——陕西鼓风机集团的盈利模式创新[J].企业管理,2013(11):74-75. [20]郝乐.AI人机交互用户个性化推荐中隐私信息披露影响因素研究[J].情报理论与实践,2024,47(7):69-80. [21]邹波,杨晓龙,唐倩,等.花开并蒂:人与AI协同的场景化产品开发机会识别案例研究[J].南开管理评论,2024,27(1):51-65. [22]彭贤哲,石进,李明.基于用户数据驱动的智能书目系统构建[J].图书馆建设,2024(1):108-120. [23]吴松强,张佳惠,蔡婷婷.元宇宙价值创造:理论逻辑与运行机制[J].外国经济与管理,2023,45(3):86-100. [24]赵晶,程栖云,尹曼青.融通创新如何驱动传统制造业企业高端化转型:基于价值链重构视角的案例研究[J/OL].南开管理评论:1-30[2024-03-08].http://kns.cnki.net/kcms/detail/12.1288.F.20240304.1155.002.html. [25]姜尚荣,乔晗,张思,等.价值共创研究前沿:生态系统和商业模式创新[J].管理评论,2020,32(2):3-17. [26]柳学信,曹成梓,孔晓旭.大国竞争背景下新质生产力形成的理论逻辑与实现路径[J].重庆大学学报(社会科学版),2024,30(1):145-155. [27]乌尔里希·森德勒.工业4.0[M].北京:机械工业出版社,2014. [28]王红春,刘帅.大数据在供应链管理中的应用研究综述[J].物流科技,2017,40(8):104-107. [29]成思玥,李浩然,白卫岗,等.基于多智能体深度强化学习的测运控一体化资源调度方法[J].天地一体化信息网络,2023,4(1):12-22. [30]刘璐,朱越,郭伟杰,等.工业互联网环境下智能仪表安全任务一体化调度方法研究[J].信息安全研究,2023,9(4):321-330. [31]GOMES M C,BARBOSA POVOA A P,NOVAIS A Q.Reactive scheduling in a make-to-order flexible job shop with re-entrant process and assembly:a mathematical programming approach[J].International Journal of Production Research,2013,51(17):5120-5141. [32]王如玉,柴忠东,林家兴.全球供应链空间重构下的中国外贸“三新”:新格局、新动能与新质生产力[J].重庆大学学报(社会科学版),2024,30(3):18-35. [33]李惠,王熙,左治亚.多目标下航天产品生产车间柔性资源配置与调度集成优化[J/OL].中国管理科学:1-10[2024-03-08].https://doi.org/10.16381/j.cnki.issn1003-207x.2021.1831. [34]刘善仕,孙博.组织人力资源大数据研究框架与文献述评[J],管理学报,2018,15(7):1098-1106. [35]姚加权,张锟澎,郭李鹏,等.人工智能如何提升企业生产效率:基于劳动力技能结构调整的视角[J].管理世界,2024,40(2):101-116,133,117-122. [36]魏龙,刘嘉利,蔡培民.工业智能化与高技术产业全球价值链地位:基于社会网络分析视角[J/OL].软科学:1-13[2024-03-08].http://kns.cnki.net/kcms/detail/51.1268.G3.20240229.1612.010.html. [37]MARIE-PIERRE P L,DAMIEN T,Designing intelligent manufacturing systems through human-machine cooperation principles:a human-centered approach[J].Computers & Industrial Engineering,2017,111:581-595. [38]朱咸军,周献中.面向新型决策系统的人件模型研究[J].中国科技论坛,2016(6):121-127. [39]WANG B,ZHOU X,SHENG Y.Research on interface of humanware service-oriented decision support system[J].Journal of Frontiers of Computer Science ＆ Technology,2013,7(1):46-54. [40]陶莎,靳晶,周晶.考虑线上-线下协同的项目调度与人员指派集成优化研究[J/OL].中国管理科学:1-16[2024-03-08].https://doi.org/10.16381/j.cnki.issn1003-207x.2023.0374. [41]王文泽.以智能制造作为新质生产力支撑引领现代化产业体系建设[J].当代经济研究,2024(2):105-115. [42]王炳成,宰飞飞.人尽其才:员工优势使用如何赋能数字化商业模式创新——一个链式中介模型[J/OL].软科学:1-12[2024-03-08].http://kns.cnki.net/kcms/detail/51.1268.G3.20231228.1632.006.html. [43]王维,张萌萌,郭韬.商业模式创新对新创企业组织韧性的影响机制研究[J].科技进步与对策,2024,41(9):108-118.
2024, 
