IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v83y1995i2p271-282.html
   My bibliography  Save this article

FUN: A dynamic method for scheduling problems

Author

Listed:
  • Bugnon, B.
  • Stoffel, K.
  • Widmer, M.

Abstract

No abstract is available for this item.

Suggested Citation

  • Bugnon, B. & Stoffel, K. & Widmer, M., 1995. "FUN: A dynamic method for scheduling problems," European Journal of Operational Research, Elsevier, vol. 83(2), pages 271-282, June.
  • Handle: RePEc:eee:ejores:v:83:y:1995:i:2:p:271-282
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0377-2217(95)00006-C
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Vukadinovic, Katarina & Teodorovic, Dusan, 1994. "A fuzzy approach to the vessel dispatching problem," European Journal of Operational Research, Elsevier, vol. 76(1), pages 155-164, July.
    2. Teodorovic, Dusan, 1994. "Fuzzy sets theory applications in traffic and transportation," European Journal of Operational Research, Elsevier, vol. 74(3), pages 379-390, May.
    3. Kagaya, Seiichi & Kikuchi, Shinya & Donnelly, Robert A., 1994. "Use of a fuzzy theory technique for grouping of trips in the vehicle routing and scheduling problem," European Journal of Operational Research, Elsevier, vol. 76(1), pages 143-154, July.
    4. Hintz, G. W. & Zimmermann, H. -J., 1989. "A method to control flexible manufacturing systems," European Journal of Operational Research, Elsevier, vol. 41(3), pages 321-334, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yeh, Chung-Hsing & J. Willis, Robert & Deng, Hepu & Pan, Hongqi, 1999. "Task oriented weighting in multi-criteria analysis," European Journal of Operational Research, Elsevier, vol. 119(1), pages 130-146, November.
    2. Chang, Y-H & Yeh, C-H & Cheng, J-H, 1998. "Decision Support for Bus Operations under Uncertainty: a Fuzzy Expert System Approach," Omega, Elsevier, vol. 26(3), pages 367-380, June.
    3. Chang, Yu-Hern & Yeh, Chung-Hsing, 2004. "A new airline safety index," Transportation Research Part B: Methodological, Elsevier, vol. 38(4), pages 369-383, May.
    4. Shih, Li-Hsing, 1999. "Cement transportation planning via fuzzy linear programming," International Journal of Production Economics, Elsevier, vol. 58(3), pages 277-287, January.
    5. Vukadinovic, Katarina & Teodorovic, Dusan & Pavkovic, Goran, 1997. "A neural network approach to the vessel dispatching problem," European Journal of Operational Research, Elsevier, vol. 102(3), pages 473-487, November.
    6. Adamopoulos, George I. & Pappis, Costas P., 1996. "A fuzzy-linguistic approach to a multi-criteria sequencing problem," European Journal of Operational Research, Elsevier, vol. 92(3), pages 628-636, August.
    7. Yeh, Chung-Hsing & Deng, Hepu & Chang, Yu-Hern, 2000. "Fuzzy multicriteria analysis for performance evaluation of bus companies," European Journal of Operational Research, Elsevier, vol. 126(3), pages 459-473, November.
    8. Navid Khademi & Mojtaba Rajabi & Afshin S. Mohaymany & Mahdi Samadzad, 2016. "Day-to-day travel time perception modeling using an adaptive-network-based fuzzy inference system (ANFIS)," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 5(1), pages 25-52, March.
    9. Gutierrez, Isabel & Carmona, Salvador, 1995. "Ambiguity in multicriteria quality decisions," International Journal of Production Economics, Elsevier, vol. 38(2-3), pages 215-224, March.
    10. Tien-Fu Liang, 2012. "Integrated manufacturing/distribution planning decisions with multiple imprecise goals in an uncertain environment," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(1), pages 137-153, January.
    11. Karsak, E. Ertugrul & Kuzgunkaya, Onur, 2002. "A fuzzy multiple objective programming approach for the selection of a flexible manufacturing system," International Journal of Production Economics, Elsevier, vol. 79(2), pages 101-111, September.
    12. Dubois, Didier & Fargier, Helene & Fortemps, Philippe, 2003. "Fuzzy scheduling: Modelling flexible constraints vs. coping with incomplete knowledge," European Journal of Operational Research, Elsevier, vol. 147(2), pages 231-252, June.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ejores:v:83:y:1995:i:2:p:271-282. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.