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The development of intelligent decision support tools to aid the design of flexible manufacturing systems

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  • Chan, Felix T. S.
  • Jiang, Bing
  • Tang, Nelson K. H.

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  • Chan, Felix T. S. & Jiang, Bing & Tang, Nelson K. H., 2000. "The development of intelligent decision support tools to aid the design of flexible manufacturing systems," International Journal of Production Economics, Elsevier, vol. 65(1), pages 73-84, April.
    • Handle: RePEc:eee:proeco:v:65:y:2000:i:1:p:73-84
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    References listed on IDEAS

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    1. Denis Borenstein, 1998. "Intelligent decision support system for flexible manufacturing system design," Annals of Operations Research, Springer, vol. 77(0), pages 129-156, January.
    2. Abdel-Malek, Layek & Wolf, Carl, 1991. "Evaluating flexibility of alternative FMS designs -- A comparative measure," International Journal of Production Economics, Elsevier, vol. 23(1-3), pages 3-10, October.
    3. Barad, M. & Hoang, K., 1995. "Cutting tools versus machine tools investments in FMS design," International Journal of Production Economics, Elsevier, vol. 42(1), pages 29-40, November.
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    Cited by:

    1. S.H.Sundarani & M. N. Qureshi, 2017. "Study Of Adoption Barriers For Flexible Manufacturing System In Industry," Working papers 2017-03-19, Voice of Research.
    2. Heo, Eunnyeong & Kim, Jinsoo & Boo, Kyung-Jin, 2010. "Analysis of the assessment factors for renewable energy dissemination program evaluation using fuzzy AHP," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(8), pages 2214-2220, October.
    3. Loureiro, Sandra Maria Correia & Guerreiro, João & Tussyadiah, Iis, 2021. "Artificial intelligence in business: State of the art and future research agenda," Journal of Business Research, Elsevier, vol. 129(C), pages 911-926.
    4. Olivier Cardin & Damien Trentesaux & André Thomas & Pierre Castagna & Thierry Berger & Hind Bril El-Haouzi, 2017. "Coupling predictive scheduling and reactive control in manufacturing hybrid control architectures: state of the art and future challenges," Journal of Intelligent Manufacturing, Springer, vol. 28(7), pages 1503-1517, October.
    5. Kahraman, Cengiz & Cebeci, Ufuk & Ruan, Da, 2004. "Multi-attribute comparison of catering service companies using fuzzy AHP: The case of Turkey," International Journal of Production Economics, Elsevier, vol. 87(2), pages 171-184, January.
    6. Perrone, Giovanni & Amico, Michele & Lo Nigro, Giovanna & Noto La Diega, Sergio, 2002. "Long term capacity decisions in uncertain markets for advanced manufacturing systems incorporating scope economies," European Journal of Operational Research, Elsevier, vol. 143(1), pages 125-137, November.
    7. Mitra, Sovan & Karathanasopoulos, Andreas & Sermpinis, Georgios & Dunis, Christian & Hood, John, 2015. "Operational risk: Emerging markets, sectors and measurement," European Journal of Operational Research, Elsevier, vol. 241(1), pages 122-132.
    8. Sandhya Dixit & Suman Gothwal & Tilak Raj, 2022. "A LAPTOP methodology to evaluate the transition of CMS into FMS: a case study," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 516-534, February.
    9. L. A. Shah & A. Etienne & A. Siadat & F. Vernadat, 2016. "Decision-making in the manufacturing environment using a value-risk graph," Journal of Intelligent Manufacturing, Springer, vol. 27(3), pages 617-630, June.
    10. Wong, Bo K. & Lai, Vincent S., 2011. "A survey of the application of fuzzy set theory in production and operations management: 1998-2009," International Journal of Production Economics, Elsevier, vol. 129(1), pages 157-168, January.
    11. Wang, Ge & Huang, Samuel H. & Dismukes, John P., 2004. "Product-driven supply chain selection using integrated multi-criteria decision-making methodology," International Journal of Production Economics, Elsevier, vol. 91(1), pages 1-15, September.

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