IDEAS home Printed from https://ideas.repec.org/a/epw/ejeng0/v5y2020i6id61813.html

Uncertainty Approaches for Solving Generalized Machine Maintenance Problem

Author

Listed:
  • Samir Abdou Abass
  • Asmaa S. Abdallah
  • Marwa Shehata Elsayed
  • Eman Massoud Ahmed

Abstract

In this paper, the generalized machine maintenance problem is formulated as linear programming model. The objective is to maximize the percentage production hours available per maintenance cycle of each machine. Data in many real life engineering and economic problems suffers from inexactness. There are different approaches to deal with uncertain optimization problems. In this paper two different approaches of uncertainty, Fuzzy programming and rough interval programming approaches will be introduced. We deal the concerned problem with uncertain data in coefficients of the constraints for the two approaches. A numerical example is introduced to clarify the two proposed approaches. A comparison study between the obtained results of the two proposed approaches and the results of interval approach for Samir A. and Marwa Sh [3] will be introduced.

Suggested Citation

  • Samir Abdou Abass & Asmaa S. Abdallah & Marwa Shehata Elsayed & Eman Massoud Ahmed, 2020. "Uncertainty Approaches for Solving Generalized Machine Maintenance Problem," European Journal of Engineering and Technology Research, European Open Science, vol. 5(6), pages 675-682, June.
    • Handle: RePEc:epw:ejeng0:v:5:y:2020:i:6:id:61813
    DOI: 10.24018/ejeng.2020.5.6.1813
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/ejeng/article/view/61813
    File Function: Abstract page
    Download Restriction: no
    File URL: https://eu-opensci.org/index.php/ejeng/article/download/61813/12439
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.24018/ejeng.2020.5.6.1813?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Youness, Ebrahim A., 2006. "Characterizing solutions of rough programming problems," European Journal of Operational Research, Elsevier, vol. 168(3), pages 1019-1029, February.
    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. M. A. Elsisy & M. H. Eid & M. S. A. Osman, 2017. "Qualitative analysis of basic notions in parametric rough convex programming (parameters in the objective function and feasible region is a rough set)," OPSEARCH, Springer;Operational Research Society of India, vol. 54(4), pages 724-734, December.
    2. Atteya, T.E.M., 2016. "Rough multiple objective programming," European Journal of Operational Research, Elsevier, vol. 248(1), pages 204-210.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:epw:ejeng0:v:5:y:2020:i:6:id:61813. 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: Support (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejeng .

    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.