• Zude Zhou
  • Shane (Shengquan) Xie
  • Dejun Chen
Part of the Springer Series in Advanced Manufacturing book series (SSAM)


Manufacturing is defined in the Oxford English Dictionary as the action or process of manufacturing something; production, fabrication, and also the sector of the economy engaged in industrial production. Original manufacturing was accomplished by hand, but most modern manufacturing operations are highly mechanized and automated. The history of manufacturing is as long as the history of human civilization, and it has become the basis of human being’s existence and development. We cannot imagine how the world would be without manufacturing, so manufacturing develops with the progress of human beings, and manufacturing technology progresses alongside the progress of human society.


Manufacturing System Computer Numerical Control Flexible Manufacture System Advanced Manufacturing Technology Total Quality Management 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    Tapscott D (1996) Digital economy. McGraw-Hill, New YorkGoogle Scholar
  2. 2.
    Womack JP, Jones DT et al (1991) The machine that changed the world: the story of lean production. Rawson Associates, New York, pp 1–5Google Scholar
  3. 3.
    Zhou Z (2004) Digital manufacturing. Science Press, BeijingGoogle Scholar
  4. 4.
    Zhou Z, Yu W, Chen Y (2001) Concept and related scientific problems of digital manufacturing. China Mech Eng 12(1):100–105Google Scholar
  5. 5.
    Freedman S (1999) Overview of fully integrated digital manufacturing technology. In: Proceedings of winter simulation conference, Dec 5–8 1999, pp 281–285Google Scholar
  6. 6.
    Monostori L, Haidegger G, Váncza J, Viharos ZsJ, Digital enterprises: a national R&D project in Hungary, Computer and Automation Research Institute, Hungarian Academy of SciencesGoogle Scholar
  7. 7.
    Lee YS (1999) Manufacturing-drive geometric analysis and prototyping: an investigation of computational manufacturing. In: Proceedings of 1999 NSF design and manufacturing grantees conference, Long Beach, CA, Jan. 5–8Google Scholar
  8. 8.
    Xiong Y et al (2002) Robot manipulator. Hubei Technology and Science Press, WuhanGoogle Scholar
  9. 9.
    Xiong Y, Yin Z (2002) Geometric reasoning and virtual prototyping for rapid product development. China Mech Eng 13(4):328–332Google Scholar
  10. 10.
    Zhou Z, Long Y, Liu Q (2007) Embedded-based network numerical control technology and system. Chin J Mech Eng 43(5):1–5CrossRefGoogle Scholar
  11. 11.
    Yin Y, Zhou Z, Liu Q, Li F, Long Y (2006) Resource node construction of an embedded NC system in a manufacturing grid. Mech Sci Technol 25(8):976–979Google Scholar
  12. 12.
    Tao F, Hu Y, Ding Y, Sheng B, Zhou Z (2005) Resource optimization selection evaluation model based on agents in manufacturing grid systems. China Mech Eng 16(24):2192–2197Google Scholar
  13. 13.
    Tao F, Hu YF, Ding YF, Sheng BY (2006) Resources publication and discovery in manufacturing grid. Zhejiang University Sci A 7(10):1676–1682MATHCrossRefGoogle Scholar
  14. 14.
    Szykman S, Sriram RD, Regli WC (2001) The role of knowledge in next-generation product development systems. ASME J Comput Inf Sci Eng 1:3–11CrossRefGoogle Scholar
  15. 15.
    Roy U, Bharadwaj B (2002) Design with part behaviors: behavior model, representation and applications. Comput Aided Des 34:613–636CrossRefGoogle Scholar
  16. 16.
    Varady T, Martin RR, Cox J (1997) Reverse engineering of geometric models—an introduction. Comput Aided Des 29(4):255–268CrossRefGoogle Scholar
  17. 17.
    Hongzan BIN (2000) Sustainability knowledge-base digitalization visualization—on the innovation strategy for manufacturing technology in the 21st century. China Mech Eng 11(1–2):110–113Google Scholar
  18. 18.
    Zhou K, Zhao JS, Mao DZ (2002) Research on an intelligent manufacturing system based on an information-localizing machining mode. J Mater Process Technol 129:597–602CrossRefGoogle Scholar
  19. 19.
    Apostolopoulos DS (2001) Analytical configuration of wheeled robotic locomotion. Ph.D. dissertation, The Robotics Institute, Carnegie Mellon University, Pittsburgh, AprilGoogle Scholar
  20. 20.
    Balasubramaniam M, Ho S, Sanjay S, Adachi Y (2002) Generation of collision-free 5-axis tool paths using a haptic surface. Comput Aided Des 34:267–279CrossRefGoogle Scholar
  21. 21.
    Erkorkmaz K, Altintas Y (2001) High speed CNC system. Part II: modeling and identification of feed drives. Int J Mach Tools Manuf 41:1487–1509CrossRefGoogle Scholar
  22. 22.
    Erkorkmaz K, Altintas Y (2001) High speed CNC system. Part III: high speed tracking and contouring control of feed drives. Int J Mach Tools Manuf 41:1637–1658CrossRefGoogle Scholar
  23. 23.
    Liu J, Yamazaki K, Yokoyama Y (1998) Dynamic gain motion control with multi-axis trajectory monitoring for machine tool systems. In: Proceedings of the 1998 international workshop on advanced motion control, AMC’98, pp 316–321Google Scholar
  24. 24.
    Edgar TF, Butler SW, Campbell WJ, Pfeiffer C, Bode C, Hwang SB, Balakrishnan KS, Hahn J (2000) Automatic control in microeletronics manufacturing: practices, challenges, and possibilities. Automatica 36:1567–1603MATHCrossRefGoogle Scholar
  25. 25.
    Chen Y-M, Liang M-W (2000) Design and implementation of a collaborative engineering information system for allied concurrent engineering. Int J Comput Integr Manuf 13(1):11–30MATHCrossRefGoogle Scholar
  26. 26.
    Yoo M-J (2002) An industrial application of agents for dynamic planning and scheduling. In: International conference on autonomous agents. Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1, Bologna, Italy. ACM Press, NY, USA, pp 264–271Google Scholar
  27. 27.
    Barták R (2000) Mixing planning and scheduling to model complex process environments. Extended version of the paper to be presented at PACLP2000, Manchester, UKGoogle Scholar
  28. 28.
    Ford Motor Company (2002) Ford motor company advanced product quality planning (APQP) status reporting guideline.
  29. 29.
    Seino T, Ikeda Y, Kinoshita M et al (2001) The impact of “digital manufacturing” on technology management, International Conference on Management of Engineering and Technology, Portland: 31–32Google Scholar
  30. 30.
    Kramer TR, Senehi MK (1993) Feasibility study: reference architecture for machine control systems integration.

Copyright information

© Springer-Verlag London Limited 2011

Authors and Affiliations

  1. 1.Hubei Digital Manufacturing Key LabWuhan University of TechnologyWuhan HubeiPeople’s Republic of China
  2. 2.Department of Mechanical EngineeringUniversity of AucklandAucklandNew Zealand
  3. 3.School of Information EngineeringWuhan University of TechnologyWuhan HubeiPeople’s Republic of China

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