面向智能制造的产业模式演变与创新应用

doi:10.3901/JME.2022.18.303

机械工程学报 ›› 2022, Vol. 58 ›› Issue (18): 303-318.doi: 10.3901/JME.2022.18.303

扫码分享

面向智能制造的产业模式演变与创新应用

薛塬¹, 臧冀原¹, 孔德婧², 周源³, 王柏村⁴, 冷杰武⁵, 黄庆学⁶

1. 中国工程院战略咨询中心北京 100088;
2. 北京邮电大学现代邮政学院(自动化学院) 北京 100876;
3. 清华大学公共管理学院北京 100084;
4. 浙江大学流体动力与机电系统国家重点实验室杭州 310027;
5. 广东工业大学精密电子制造技术与装备国家重点实验室广州 510006;
6. 太原理工大学机械与运载工程学院太原 030024

收稿日期:2022-03-25 修回日期:2022-08-10 出版日期:2022-09-20 发布日期:2022-12-08
通讯作者: 臧冀原(通信作者)，男，1981年出生，博士，副研究员。主要研究方向为制造强国、智能制、产业基础等。E-mail：zangjy@cae.cn
作者简介:薛塬,男,1990年出生,博士,助理研究员。主要研究方向为智能制造、制造业模式业态创新、产业基础等;E-mail:xy@cae.cn;黄庆学,男,1960年出生,中国工程院院士,博士,教授,博士研究生导师。主要研究方向为大型轧钢设备设计方法、技术开发及工程化等;E-mail:hqx@tyust.edu.cn
基金资助:
国家自然科学基金(72004016)、中国博士后科学基金(2021M703022)、中国工程院院地合作(2020SX1)、中国工程院咨询研究(2021-HZ-11)和浙江省软科学研究计划(2022C35040)资助项目。

Evolution and Innovative Implementation of Industrial Model for Intelligent Manufacturing

XUE Yuan¹, ZANG Jiyuan¹, KONG Dejing², ZHOU Yuan³, WANG Baicun⁴, LENG Jiewu⁵, HUANG Qingxue⁶

1. Strategic Consulting Center of Chinese Academy of Engineering, Beijing 100088;
2. School of Modern Post(School of Automation), Beijing University of Posts and Telecommunications, Beijing 100876;
3. School of Public Policy & Management, Tsinghua University, Beijing 100084;
4. State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027;
5. State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment, Guangdong University of Technology, Guangzhou 510006;
6. College of Mechanical and Vehicle Engineering, Taiyuan University of Technology, Taiyuan 030024

Received:2022-03-25 Revised:2022-08-10 Online:2022-09-20 Published:2022-12-08

摘要/Abstract

摘要： 随着市场需求的牵引和智能制造技术的驱动，服务在制造业全生命周期中的作用越来越重要，制造业产业模式与产业形态正在发生革命性变革。基于价值链理论和“微笑曲线”，从价值创造的角度阐述了产业模式的演变过程；总结提出产业模式的创新业务形式。研究表明，日益增长的美好生活需要和智能制造等新兴技术正在推动制造业从“以产品为中心”向“以客户为中心”转变，不同终端制造企业将会选择不同的业务发展途径。在分析当前所面临挑战的基础上，针对产业模式创新应用提出建议：提高对服务型制造的认识、持续支持服务型制造相关基础工作、加强服务型制造相关技术的研究与应用，努力推动制造业从产业链中低端走向中高端。

关键词: 智能制造, 智能服务, 产业模式, 以客户为中心, 服务型制造

Abstract: With the traction of market demand and the drive of intelligent manufacturing technology development, service plays a more and more important role in the whole life cycle of the manufacturing industry, and the industrial model and industrial form of the manufacturing industry are undergoing revolutionary changes. Based on the value chain theory and the "smile curve", it expounds on the evolution process of the industrial model from the perspective of value creation; and summarizes the innovative business form of the industrial model. Studies show that the growing need for a better life and emerging technologies such as intelligent manufacturing is driving the transformation of the manufacturing industry from "product-centered" to "customer-centered", and different terminal manufacturers will choose different business development paths. On the basis of analyzing the current challenges, suggestions are put forward for the innovative applications of industrial model: improving the understanding of service-oriented manufacturing, continuously supporting the basic work of service-oriented manufacturing, strengthening the research and application of service-oriented manufacturing-related technologies, to promote the manufacturing industry shifting from the low end to the middle and high end of industrial chains.

Key words: intelligent manufacturing, intelligent service, industrial model, customer-centricity, service-oriented manufacturing

中图分类号:

薛塬, 臧冀原, 孔德婧, 周源, 王柏村, 冷杰武, 黄庆学. 面向智能制造的产业模式演变与创新应用[J]. 机械工程学报, 2022, 58(18): 303-318.

XUE Yuan, ZANG Jiyuan, KONG Dejing, ZHOU Yuan, WANG Baicun, LENG Jiewu, HUANG Qingxue. Evolution and Innovative Implementation of Industrial Model for Intelligent Manufacturing[J]. Journal of Mechanical Engineering, 2022, 58(18): 303-318.

导出引用管理器 EndNote|Reference Manager|ProCite|BibTeX|RefWorks

链接本文: http://www.cjmenet.com.cn/CN/10.3901/JME.2022.18.303

http://www.cjmenet.com.cn/CN/Y2022/V58/I18/303

参考文献

[1] 周济. 智能制造——“中国制造 2025”的主攻方向[J]. 中国机械工程，2015，26(17):2273-2284. ZHOU Ji. Intelligent manufacturing:Main direction of “Made in China 2025” [J]. China Mechanical Engineering，2015，26(17):2273-2284.
[2] ZHOU Ji，LI Peigen，ZHOU Yanhong，et al. Toward new-generation intelligent manufacturing[J]. Engineering，2018，4(1):11-20.
[3] White House Office of the Press. President Obama launches advanced manufacturing partnership [R/OL]. [2017-12-20]. Washington，DC:White House，https://obamawhitehouse.archives.gov/the-press-office/2011/06/24/president-obama-launches-advanced-manufacturing-partnership.
[4] Kagermann H，Wahlster W，Helbig J. Recommendations for implementing the strategic initiative Industrie 4.0:Final report of the Industrie 4.0 Working Group[R]. Munich:National Academy of Science and Engineering(acatech)，2013.
[5] Foresight. The future of manufacturing:A new era of opportunity and challenge for the UK[R]. London:The Government Office for Science，2013.
[6] MacDougall W. INDUSTRIE4.0:Smart manufacturing for the future[R]. Berlin:Germany Trade & Invest，2014.
[7] 朱高峰. 从制造大国到制造强国[J]. 清华管理评论，2020(3):6-14. ZHU Gaofeng. From a large manufacturing country to a world manufacturing power[J]. Tsinghua Business Review，2020(3):6-4.
[8] ZHOU Ji，ZHOU Yanhong，WANG Baicun，et al. Human-cyber-physical systems (HCPSs) in the context of new-generation intelligent manufacturing[J]. Engineering，2019，5(4):624-636.
[9] TAO Fei，CHENG Jiangfeng，QI Qinglin，et al. Digital twin-driven product design，manufacturing and service with big data[J]. Int. J. Adv. Manuf. Technol.，2018，94(9-12):3563-3576.
[10] Vogel-Heuser B，Wildermann S，Teich J. Towards the co-evolution of industrial products and its production systems by combining models from development and hardware/software deployment in cyber-physical systems[J]. Prod. Eng.，2017，11(6):687-694.
[11] LIU Xihui，LIU Huirong，ZHANG Yanming. The new role of design in innovation:A policy perspective from China[J]. An International Journal for All Aspects of Design，2018，21(1):37-58.
[12] Uhlemann THJ，Lehmann C，Steinhilper R. The digital twin:Realizing the cyber-physical production system for Industry 4.0[J]. Procedia. CIRP，2017，61:335-340.
[13] Barquet A P B，de Oliveira M G，Amigo C R，et al. Employing the business model concept to support the adoption of product-service systems (PSS)[J]. Industrial Marketing Management，2013，42(5):693-704.
[14] ZHENG Pai，WANG Zuoxu，CHEN C H，et al. A survey of smart product-service systems:Key aspects，challenges and future perspectives[J]. Advanced Engineering Informatics，2019，42:100973.
[15] Schaltegger S， Hansen E G， Ludeke-Freund F. Business models for sustainability:Origins，present research，and future avenues[J]. Organization & Environment，2016，29(1):3-10.
[16] Weil K E， Empresas R R D A D， Diniz E. Competitive advantage :Creating and sustaining superior performance[J]. RAE - Revista de Administração de Empresas，1998，25(1):94.
[17] 简兆权，伍卓深. 制造业服务化的路径选择研究——基于微笑曲线理论的观点[J]. 科学学与科学技术管理，2011，32(12):137-143. JIAN Zhaoquan，WU Zhuoshen. Research on the path choice of service-oriented manufacturing:Views based on the smile curve theory[J]. Science and Technology Management，2011，32(12):137-143.
[18] 吕乃基，兰霞. 微笑曲线的知识论释义[J]. 东南大学学报，2010，12(3):18-22. LÜ Naiji，LAN Xia. The epistemological interpretation of the smile curve[J]. Journal of Southeast University，2010，12(3):18-22.
[19] 庄解忧. 世界上第一次工业革命的经济社会影响[J]. 厦门大学学报，1985(4):54-60，68. ZHUANG Jieyou. The economic and social impact of the world’s first industrial revolution[J]. Journal of Xiamen University，1985(4):54-60，68.
[20] Brynjolfsson E，McAfee A. The second machine age:Work，progress，and prosperity in a time of brilliant technologies[R]. New York:W.W. Norton & Company， 2014.
[21] Freeman C，Louca F. As time goes by:From the industrial revolutions to the information revolution[M]. Oxford:Oxford University Press，2002.
[22] 中国社会科学院工业经济研究所课题组. 第三次工业革命与中国制造业的应对战略[J]. 学习与探索，2012(9):93-98. Research Group of the Institute of Industrial Economics，Chinese Academy of Social Sciences. The third industrial revolution and the replying Strategy of China’s Manufacturing Industry[J]. Learning and Exploration，2012(9):93-98.
[23] PAN Yunhe. Heading toward artificial intelligence 2.0[J]. Engineering，2016，2(4):409-413.
[24] ZHUANG Yueting，WU Fei，CHEN Chun，PAN Yunhe. Challenges and opportunities:From big data to knowledge in AI 2.0[J]. Front. Inf. Technol. Electron. Eng.，2017，18(1):3-14.
[25] 迈克尔·瓦伦丁，陈明浩. 超级制造:后精益生产时代,第四次工业革命的新模式[M]. 北京:社会科学文献出版社，2022. Valentin M，CHEN Minghao. Super manufacturing:post-lean production era，a new model of the fourth industrial revolution[M]. Beijing:Social Sciences Literature Press，2022.
[26] 孟涛，周小柯. 工业4.0时代生产新模式及管理创新探讨[J]. 现代管理科学，2017(8):36-38. MENG Tao，ZHOU Xiaoke. Discussion on the new production pattern and management innovation under industry 4.0[J]. Modern Management Science，2017(8):36-38.
[27] JIANG Zhouzhou，FENG Guangqi，YI Zenlong，et al. Service-oriented manufacturing:A literature review and future research directions[J]. Frontiers of Engineering Management，2022，9((1):71-88.
[28] TAO Fei，QI Qinglin. New IT driven service-oriented smart manufacturing:framework and characteristics[J]. IEEE Transactions on Systems，Man，and Cybernetics:Systems，2017，49(1):81-91.
[29] Mastrogiacomo L，Barravecchia F，Franceschini F. A worldwide survey on manufacturing servitization[J]. The International Journal of Advanced Manufacturing Technology，2019，103(9):3927-3942.
[30] 陶飞，戚庆林. 面向服务的智能制造[J]. 机械工程学报，2018，54(16):11-23. TAO Fei，QI Qinglin. Service-oriented intelligent manufacturing[J]. Journal of Mechanical Engineering，2018，54(16):11-23.
[31] 王柏村，薛塬，延建林，等. 以人为本的智能制造:理念、技术与应用[J]. 中国工程科学，2020，22(4):139-146. WANG Baicun，XUE Yuan，YAN Jianlin，et al. Human-oriented intelligent manufacturing:Concept，technology，and application[J]. China Engineering Science，2020，22(4):139-146.
[32] 李杰其，胡良兵. 基于机器学习的设备预测性维护方法综述[J]. 计算机工程与应用，2020，56(21):11-19. LI Jieqi，HU Liangbing. Review of predictive equipment maintenance methods based on machine learning[J]. Computer Engineering and Applications，2020，56(21):11-19.
[33] 北京发那科机电有限公司. FANUC CNC维修与调整(0i-D)培训教程[M]. 北京:高等教育出版社，2011. Beijing FANUC Electromechanical Co.，Ltd. FANUC CNC maintenance and adjustment (0i-D) training[M]. Beijing:Higher Education Press，2011.
[34] 黎宇科，高洋. 德国动力电池回收利用经验及启示[J].资源再生，2013(10):48-50. LI Yuke，GAO Yang. Power battery recycling experience and enlightenment in German[J]. Resource Regeneration，2013(10):48-50.
[35] TSAI W T，BAI Xiaoying，HUANG Yu. Software- as-a-service (SaaS):Perspectives and challenges[J]. Science China Information Sciences ，2014(5):1-15.
[36] 金俊华，兰茹婷. 工程机械行业信用销售财务风险控制研究——以三一重工和中联重科为例[J]. 财会通讯，2014(10):19-21. JIN Junhua，LAN Ruting. Research on financial risk control of credit sales in construction machinery industry - Taking SANY and zoomlion as examples[J]. Finance and Accounting Communications，2014(10):19-21.
[37] 王博阳. 苹果iTunes网上音乐商店:版权制度的未来模式?[J]. 电子知识产权，2009(6):28-32. WANG Boyang. Apple iTunes online music store:The future mode of copyright system?[J]. Electronic Intellectual Property，2009(6):28-32.
[38] 刘成良，林洪振，李彦明，等. 农业装备智能控制技术研究现状与发展趋势分析[J]. 农业机械学报，2020，51(1):1-18. LIU Chengliang，LIN Hongzhen，LI Yanming，et al. Analysis of the research status and development trend of intelligent control technology for agricultural equipment[J]. Journal of Agricultural Machinery，2020，51(1):1-18.
[39] 肖红军. 共享价值、商业生态圈与企业竞争范式转变[J]. 改革，2015(7):129-141. XIAO Hongjun. Shared value，business ecosystem，and paradigm shift in corporate competition[J]. Reform，2015(7):129-141.
[40] WANG Kangzhou，JIANG Zhibin，PENG Bo，et al. Servitization of manufacturing in the new ICTs era:A survey on operations management[J]. Frontiers of Engineering Management，2021，8(2):223-235.
[41] 三一重工股份有限公司. 践行服务战略，三一路机持续打造差异化优质服务[J]. 中国公路，2021(4):49-51. Sany Heavy Industry Co.，Ltd. Practicing service strategy，Sany machinery continues to create differentiated high-quality services[J]. China Highway，2021(4):49-51.
[42] 黄震，徐娟. 我国再制造产业发展的模式选择与政策调整[C/CD]// 2009中国汽车零部件再制造技术交流与应用研讨会. 中国资源综合利用协会，中国能源环境科技协会，2009. HUANG Zhen，XU Juan. Mode selection and policy adjustment of China’s remanufacturing industry development[C/CD]// 2009 China Auto Parts Remanufacturing Technology Exchange and Application Seminar. China Association for Comprehensive Utilization of Resources，China Energy Environment Science and Technology Association，2009.
[43] 安筱鹏. 基于产品效能提升的增值服务:航空发动机产业的实时在线支持服务[J]. 中国信息界，2010(6):27-30. AN Xiaopeng. Value-added services based on product efficiency improvement:Real-time online support services for aero-engine industry[J]. China Information Industry，2010(6):27-30.
[44] 罗东. 雷军的盒子[J]. 21世纪商业评论，2012(22):67. LUO Dong. Lei Jun’s box[J]. 21st Century Business Review，2012(22):67.
[45] 赵曙光. 传统电视的社会化媒体转型:内容、社交与过程[J]. 清华大学学报，2016，31(1):182-188,193. ZHAO Shuguang. The socialized media transformation of traditional TV:Content，social interaction，and process[J]. Journal of Tsinghua University，2016，31(1):182-188，193.
[46] 金风科技. 金风科技“风电整体解决方案”亮相乌洽会[J]. 电机与控制应用，2010，37(9):70. Goldwind Technology. Goldwind’s “Wind Power Overall Solution”Unveiled at urumqi foreign economic and trade fair[J]. Motor and Control Application，2010，37(9):70.
[47] 美的. M-Smart智慧家居成果发布[J]. 现代家电，2016(6):69. Midea. M-smart smart home achievements released[J]. Modern Home Appliances，2016(6):69.
[48] 余冰雁. 智能家居产业发展趋势分析[J]. 高科技与产业化，2016(12):48-51. YU Bingyan. Analysis on the development trend of smart home industry[J]. High-tech and Industrialization，2016(12):48-51.
[49] 周济，李培根. 智能制造导论[M]. 北京:高等教育出版社，2021. ZHOU Ji，LI Peigen. Introduction to intelligent manufacturing[M]. Beijing:Higher Education Press，2021.
[50] National Manufacturing Strategy Advisory Committee，Center of Strategic Studies of the Chinese Academy of Engineering. Intelligent manufacturing[R]. Beijing:Publishing House of Electronics Industry，2016.
[51] 黄群慧，贺俊. “第三次工业革命”,制造的重新定义与中国制造业发展[J]. 工程研究:跨学科视野中的工程，2013，5(2):10. HUANG Qunhui，HE Jun. “The Third Industrial Revolution”，the redefinition of manufacturing and the development of China’s manufacturing industry[J]. Engineering Research:Engineering under an Interdisciplinary Perspective，2013，5(2):10.
[52] 臧冀原，刘宇飞，王柏村，等. 面向2035的智能制造技术预见和路线图研究[J]. 机械工程学报，2022，58(4):285-308. ZANG Jiyuan，LIU Yufei，WANG Baicun，et al. Foresight and roadmap on intelligent manufacturing technology for 2035[J]. Journal of Mechanical Engineering，2022，58(4):285-308.
[53] 中国机械工程学会. 中国机械工程技术路线图[M]. 北京:机械工业出版社，2022. Chinese Mechanical Engineering Society. China mechanical engineering technology roadmap[M]. Beijing:China Machine Press，2022.

面向智能制造的产业模式演变与创新应用

Evolution and Innovative Implementation of Industrial Model for Intelligent Manufacturing

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	程鼎豪, 胡炳涛, 冯毅雄, 杨晨, 王飞, 袁富邦, 汪勇, 谭建荣. 面向铅酸蓄电池的未来工厂适应性数据模型体系及关键技术研究[J]. 机械工程学报, 2026, 62(3): 458-478.
[2]	李嘉佳, 易茜, 冯毅雄, 朱鹏兴, 易树平. 人本智造单元中人-智能系统协同双智能体工作机制研究[J]. 机械工程学报, 2025, 61(3): 105-118.
[3]	黄思翰, 陈建鹏, 徐哲, 阎艳, 王国新. 基于大语言模型和机器视觉的智能制造系统人机自主协同作业方法[J]. 机械工程学报, 2025, 61(3): 130-141.
[4]	牛帅, 仝晓萌, 蔡茂林, 李毅波, 岳烜德. 面向智能制造的数控加工工艺重用关键技术：系统回顾[J]. 机械工程学报, 2025, 61(20): 301-317.
[5]	周汶蓉, 熊世权, 杨秦秦, 叶驰川, 徐梦宇, 易茜, 冯毅雄, 易树平. 一种主观人因失效防范的核电建造协同质量智能见证方法[J]. 机械工程学报, 2025, 61(15): 324-338.
[6]	高金吉. 人工自愈开辟智能流程制造向安健发展新途径[J]. 机械工程学报, 2025, 61(14): 117-129.
[7]	韩飞, 宁梓淮. 辊弯成形技术研究现状与发展趋势[J]. 机械工程学报, 2025, 61(11): 279-300.
[8]	张党, 赵永宣, 王振军, 张映锋. 数据-知识混合驱动的离散制造系统智能控制体系构架研究[J]. 机械工程学报, 2024, 60(6): 1-10,20.
[9]	狄子钧, 袁东风, 李东阳, 梁道君, 周晓天, 信苗苗, 曹凤, 雷腾飞. 基于多尺度-高效通道注意力网络的刀具故障诊断方法[J]. 机械工程学报, 2024, 60(6): 82-90.
[10]	王跃飞, 王超, 许于涛, 孙睿, 肖锴, 王凯林. 边-云协同下智能制造单元作业的数字孪生任务调度方法[J]. 机械工程学报, 2024, 60(6): 137-152.
[11]	苏建涛, 董绍华, 朱诗敏. 多目标混合流水车间机器故障重调度问题研究[J]. 机械工程学报, 2024, 60(4): 438-448.
[12]	王耀南, 谢核, 邓晶丹, 毛建旭, 李文龙, 张辉. 智能制造测量机器人关键技术研究综述[J]. 机械工程学报, 2024, 60(16): 1-18.
[13]	王文波, 张映锋, 顾寄南, 张耿, 完严. 数据驱动的离散制造系统性能退化机理建模与预测控制方法研究[J]. 机械工程学报, 2024, 60(16): 400-411.
[14]	郑湃, 李成熙, 殷悦, 张荣, 鲍劲松, 王柏村, 谢海波, 王力翚. 增强现实辅助的互认知人机安全交互系统[J]. 机械工程学报, 2023, 59(6): 173-184.
[15]	丁明娜, 刘献礼, 岳彩旭, 范梦超, 顾浩. 面向智能制造过程的刀具设计、制备与管控技术[J]. 机械工程学报, 2023, 59(19): 429-459.