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A new generation of decision support systems for advanced manufacturing enterprises

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Abstract

The characteristics and environment of advanced manufacturing enterprises are analysed. A process model is briefly proposed to formulate the structured, semistructured, and unstructured decision problems. A framework for a decision support system is proposed that is capable of coordinating with the hybrid models and targeted to build an open system which can be self-organized to respond to a changing and unpredictable environment. Belief network and object-oriented technology are employed to help the system reason and reconfigure itself.

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References

  • Bode and Xiping Zhang (1995) Inserting background knowledge in perception through modification of learning algorithm, in Proceedings of the 1995 IEEE International Conference on Neural Networks, Perth Australia, Vol 2, Rundle Mall, Australia, pp. 807–812.

    Google Scholar 

  • Falconer, K. (1990) Fractal Geometry: Mathematical Foundations and Applications, Wiley, Chichester, pp. xx–xxi.

    Google Scholar 

  • Haken, H. (1983) Advanced Synergistics, Springer-Verlag, Berlin.

    Google Scholar 

  • Jacobson, I. (1992) Object-Oriented Software Engineering: A Use Case Driven Approach, Addison-Wesley, Reading MA.

    Google Scholar 

  • Judea Pearl, I. (1986) Fusion propagation and structuring in belief networks. Artificial Intelligence, 29, 241–288.

    Google Scholar 

  • Nagel, R. and Dove, D. (1991) 21st Century Manufacturing Enterprise Strategy, Lacocca Institute, Lehigh University, Bethehem PA.

    Google Scholar 

  • Ren, S. (1993) A systems view of concurrent engineering, in Proceedings of ICCIM93, The expert committe of Automa-tion Technology, The National High-Tech R&D Program, Beijing, pp. 214–220.

  • Sullivan, L. P. (1986) Quality function deployment. Quality Progress, 19, 39–50.

    Google Scholar 

  • Wasserman, G. S. (1993) On how to prioritize design requirements during the QFD planning process. IIE Transactions, 25, 59–65.

    Google Scholar 

  • Xiping Zhang (1996) Neural Networks in quality function deployment. Computer Industrial Engineering, 31, 669–673.

    Google Scholar 

Download references

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Authors and Affiliations

  1. Department of Automation, Tsinghua University, Beijing, 100084, China

    SHOUJU REN , XIAO DONG ZHANG  & XI PING ZHANG

Authors
  1. SHOUJU REN
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  2. XIAO DONG ZHANG
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  3. XI PING ZHANG
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REN , S., ZHANG , X.D. & ZHANG , X.P. A new generation of decision support systems for advanced manufacturing enterprises. Journal of Intelligent Manufacturing 8, 335–343 (1997). https://doi.org/10.1023/A:1018597930191

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  • DOI: https://doi.org/10.1023/A:1018597930191

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