IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v33y1994i1-3p45-52.html
   My bibliography  Save this article

The usefulness of possibilistic programming in production planning problems

Author

Listed:
  • Inuiguchi, Masahiro
  • Sakawa, Masatoshi
  • Kume, Yasufumi

Abstract

No abstract is available for this item.

Suggested Citation

  • Inuiguchi, Masahiro & Sakawa, Masatoshi & Kume, Yasufumi, 1994. "The usefulness of possibilistic programming in production planning problems," International Journal of Production Economics, Elsevier, vol. 33(1-3), pages 45-52, January.
  • Handle: RePEc:eee:proeco:v:33:y:1994:i:1-3:p:45-52
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0925-5273(94)90117-1
    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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yong Zeng & Yanpeng Cai & Guohe Huang & Jing Dai, 2011. "A Review on Optimization Modeling of Energy Systems Planning and GHG Emission Mitigation under Uncertainty," Energies, MDPI, vol. 4(10), pages 1-33, October.
    2. Panda, D. & Kar, S. & Maity, K. & Maiti, M., 2008. "A single period inventory model with imperfect production and stochastic demand under chance and imprecise constraints," European Journal of Operational Research, Elsevier, vol. 188(1), pages 121-139, July.
    3. SakallI, Ümit Sami & Baykoç, Ömer Faruk, 2011. "An optimization approach for brass casting blending problem under aletory and epistemic uncertainties," International Journal of Production Economics, Elsevier, vol. 133(2), pages 708-718, October.
    4. Mike Spiliotis & Dionissis Latinopoulos & Lampros Vasiliades & Kyriakos Rafailidis & Eleni Koutsokera & Ifigenia Kagalou, 2022. "Flexible Goal Programming for Supporting Lake Karla’s (Greece) Sustainable Operation," Sustainability, MDPI, vol. 14(7), pages 1-19, April.
    5. Maity, K. & Maiti, M., 2007. "Possibility and necessity constraints and their defuzzification--A multi-item production-inventory scenario via optimal control theory," European Journal of Operational Research, Elsevier, vol. 177(2), pages 882-896, March.
    6. Liu, Ming Long & Sahinidis, Nikolaos V., 1997. "Process planning in a fuzzy environment," European Journal of Operational Research, Elsevier, vol. 100(1), pages 142-169, July.
    7. Mula, Josefa & Peidro, David & Poler, Raul, 2010. "The effectiveness of a fuzzy mathematical programming approach for supply chain production planning with fuzzy demand," International Journal of Production Economics, Elsevier, vol. 128(1), pages 136-143, November.

    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:proeco:v:33:y:1994:i:1-3:p:45-52. 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.

    We have no bibliographic references for this item. You can help adding them by using 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/ijpe .

    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.