面向智能制造的汽车产业升级路径研究Research on Automotive Industry Upgrading Path for Intelligent Manufacturing
刘宗巍,张保磊,赵福全
摘要(Abstract):
智能制造是全球公认的制造业发展方向,中国明确提出建设制造强国,其核心指向即在于实现智能制造的全面升级。本文对制造业的本质和智能制造的内涵进行了解析和阐释,对传统制造业向智能制造体系升级的要点进行了梳理和分析,在此基础上,重点针对汽车产业,全面论述了面向智能制造的升级路径,并为企业提出了具体的行动策略建议。
关键词(KeyWords): 智能制造;汽车产业;数字化;网联化;智能化
基金项目(Foundation):
作者(Author): 刘宗巍,张保磊,赵福全
DOI: 10.19710/J.cnki.1003-8817.20180276
参考文献(References):
- [1] Omar Y M, Minoufekr M, Plapper P. Lessons from social network analysis to Industry 4.0[J]. Manufacturing Letters,2017.
- [2] Rauch E, Unterhofer M, Dallasega P. Industry sector analysis for the application of additive manufacturing in smart and distributed manufacturing systems[J].Manufacturing Letters, 2017.
- [3] Yan H, Hua Q, Wang Y, et al. Cloud robotics in Smart Manufacturing Environments:Challenges and countermeasures[J]. Computers&Electrical Engineering,2017,63:56-65.
- [4] Angrish A, Starly B, Lee Y, et al. A flexible data schema and system architecture for the virtualization of manufacturing machines(VMM)[J]. Journal of Manufacturing Systems, 2017,45:236-247.
- [5] Kumar A. Methods and Materials for Smart Manufacturing:Additive Manufacturing, Internet of Things, Flexible Sensors and Soft Robotics[J]. Manufacturing Letters, 2017.
- [6] Zhou F, Lin X, Luo X, et al. Visually enhanced situation awareness for complex manufacturing facility monitoring in smart factories[J]. Journal of Visual Languages&Computing, 2018,44:58-69.
- [7] Colombo A W, Mendes J M, Leit?o P, et al. Serviceoriented SCADA and MES supporting Petri nets based orchestrated automation systems:IECON 2012-Conference on IEEE Industrial Electronics Society, 2012[C].
- [8] Tao F, Qi Q, Liu A, et al. Data-driven smart manufacturing[J]. Journal of Manufacturing Systems, 2018.
- [9] Wang J, Ma Y, Zhang L, et al. Deep learning for smart manufacturing:Methods and applications[J]. Journal of Manufacturing Systems, 2018.
- [10] Edgar T F, Pistikopoulos E N. Smart manufacturing and energy systems[J]. Computers&Chemical Engineering,2017.
- [11] Lee A Y, An J, Chua C K. Two-Way 4D Printing:A Review on the Reversibility of 3D-Printed Shape Memory Materials[J]. Engineering, 2017,3(5):663-674.
- [12]赵福全.《中国制造2025》促进汽车产业转型与升级[J].金属加工(冷加工), 2015(23):8-10.
- [13]赵福全,刘宗巍.工业4.0浪潮下中国制造业转型策略研究[J].中国科技论坛, 2016(01):58-62.
- [14]赵福全,刘宗巍,史天泽.工业4.0与精益思想关系辨析及中国中小企业应对策略[J].科技管理研究, 2018(3):1-5.
- [15]赵福全,苏瑞琦,刘宗巍.洞见汽车强国梦[M].北京:机械工业出版社, 2016.
- [16]魏雪艳,钱燕云.移动互联网时代的工业4.0——从B2C到C2B[J].电子商务, 2015(08):18-19.
- [17] Chen T, Tsai H. Ubiquitous manufacturing:Current practices, challenges, and opportunities[J]. Robotics and Computer-Integrated Manufacturing, 2017,45:126-132.
- [18] Cheng Y, Chen K, Sun H, et al. Data and knowledge mining with big data towards smart production[J].Journal of Industrial Information Integration, 2017.
- [19] Zhao L, Feng M. Study on the Transformation and Upgrade of E-Commerce Application in Manufacturing Industry, 2017[C].
- [20] Grundstein S, Freitag M, Scholz-Reiter B. A new method for autonomous control of complex job shops–Integrating order release, sequencing and capacity control to meet due dates[J]. Journal of Manufacturing Systems, 2017,42:11-28.
- [21] Francalanza E, Borg J, Constantinescu C. A knowledgebased tool for designing cyber physical production systems[J]. Computers in Industry, 2017,84:39-58.
- [22] Wang S, Wan J, Zhang D, et al. Towards smart factory for industry 4.0:a self-organized multi-agent system with big data based feedback and coordination[J]. Computer Networks, 2016,101:158-168.
- [23] Wieland M, Hirmer P, Steimle F, et al. Towards a Rulebased Manufacturing Integration Assistant[J]. Procedia CIRP, 2016,57:213-218.
- [24] Bernstein W Z, Bala Subramaniyan A, Brodsky A, et al.Research directions for an open unit manufacturing process repository:A collaborative vision[J].Manufacturing Letters, 2017.
- [25] Rossit D, TohméF. Scheduling research contributions to Smart manufacturing[J]. Manufacturing Letters, 2017.
- [26]刘宗巍.赵福全论汽车产业[M].北京:机械工业出版社, 2017.