Manufacturing and Engineering in the Information Society: Responding to Global Challenges

  • Jan B.M. Goossenaerts
  • Eiji Arai
  • John J. Mills
  • Fumihiko Kimura
Part of the IFIP — The International Federation for Information Processing book series (IFIPAICT, volume 183)

Abstract

This introductory paper to the DIISM’04 volume explains the DIISM problem statement and applies principles of architecture descriptions for evolutionary systems (IEEE 1471–2000) to the information infrastructure for engineering and manufacturing. In our vision, knowledge and skill chains depend on infrastructure systems fulfilling missions in three kinds of environments: the socio-industrial domain of society and its production systems as a whole, the knowledge domain for a scientific discipline, and the sectorial domain, which includes the operational entities (companies, organizational units, engineers, workers) in engineering and manufacturing.

The relationships between these different domains are captured in a domain paradigm An information infrastructure that enables responses to global challenges must draw on a wide range of both industrial and academic excellence, vision, knowledge, skill, and ability to execute. Responses have a scope, from the company, the factory floor and the engineering office to external collaboration and to man-system collaboration. In all scopes a system can offer services to different operational levels: operations, development or engineering, and research. The dimensions of scope and service level are briefly explained in relation to the architecting of an infrastructure. Papers are grouped according to their contribution to an infrastructure scenario or to an infrastructure component.

Keywords

architecture engineering information infrastructure manufacturing 

References

  1. Aral, E., J. Goossenaerts, F. Kimura and K. Shirase (eds.) (2005) Knowledge and Skill Chains in Engineering and Manufacturing: Information Infrastructure in the Era of Global Communications, Springer.Google Scholar
  2. Goossenaerts, J., F. Kimura and J.C. Wortmann (eds.) (1997) Information Infrastructure Systems for Manufacturing, Chapman & Hall, London, UKGoogle Scholar
  3. IEEE (2000) Recommended Practice for Architectural Description of Software-Intensive Systems IEEE Std 1471-2000. July 2000.Google Scholar
  4. Kimura, F. (2005) Engineering Information Infrastructure for Product Life Cycle Management. In F. Kimura and K. Shirase Knowledge and Skill Chains in Engineering and Manufacturing: Information Infrastructure in the Era of Global Communications, Springer Arai, E. et al (2005), pp 13–22Google Scholar
  5. Kruchten, P. (1995), Architectural Blueprints-The ‘4+1’ View Model of Software Architecture, IEEE Software, 12(6)Google Scholar
  6. Mills, J. and F. Kimura (eds.) (1999) Information Infrastructure Systems for Manufacturing II’ Kluwer Academic Publishers, Boston Google Scholar
  7. Mo, J.P.T. and L. Nemes (eds.) (2001) Global Engineering, Manufacturing and Enterprise Networks, Kluwer Academic Publishers, BostonGoogle Scholar
  8. Yoshikawa, H. and J. Goossenaerts (eds.) (1993) Information Infrastructure Systems for Manufacturing. IFIP Transaction B-14. Elsevier Science B.V. (North Holland)Google Scholar
  9. Yoshikawa, H. (1993) Intelligent Manufacturing Systems: Technical Cooperation that Transcends Cultural Differences. In: Yoshikawa, H. and J. Goossenaerts (1993) pp. 19–40Google Scholar

Copyright information

© International Federation for Information Processing 2005

Authors and Affiliations

  • Jan B.M. Goossenaerts
    • 1
  • Eiji Arai
    • 2
  • John J. Mills
    • 3
  • Fumihiko Kimura
    • 4
  1. 1.Dept. of Technology ManagementEindhoven University of Technologythe Netherlands
  2. 2.Dept. of Manufacturing Science, Graduate School of Eng.Osaka Univ.Japan
  3. 3.Dept. of Mechanical and Aerospace Eng.The Univ. of TexasArlingtonUSA
  4. 4.Dept. of Precision Machinery Eng.The Univ. of TokyoJapan

Personalised recommendations