IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v84y2003i1p85-100.html
   My bibliography  Save this article

Selecting the most efficient maintenance approach using fuzzy multiple criteria decision making

Author

Listed:
  • Al-Najjar, Basim
  • Alsyouf, Imad

Abstract

No abstract is available for this item.

Suggested Citation

  • Al-Najjar, Basim & Alsyouf, Imad, 2003. "Selecting the most efficient maintenance approach using fuzzy multiple criteria decision making," International Journal of Production Economics, Elsevier, vol. 84(1), pages 85-100, April.
    • Handle: RePEc:eee:proeco:v:84:y:2003:i:1:p:85-100
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925-5273(02)00380-8
    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. Liang, Gin-Shuh, 1999. "Fuzzy MCDM based on ideal and anti-ideal concepts," European Journal of Operational Research, Elsevier, vol. 112(3), pages 682-691, February.
    2. Pintelon, L. M. & Gelders, L. F., 1992. "Maintenance management decision making," European Journal of Operational Research, Elsevier, vol. 58(3), pages 301-317, May.
    3. Gits, C. W., 1992. "Design of maintenance concepts," International Journal of Production Economics, Elsevier, vol. 24(3), pages 217-226, March.
    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. Swanson, Laura, 2003. "An information-processing model of maintenance management," International Journal of Production Economics, Elsevier, vol. 83(1), pages 45-64, January.
    2. Reynir S. Atlason & Gudmundur V. Oddsson & Runar Unnthorsson, 2014. "Geothermal Power Plant Maintenance: Evaluating Maintenance System Needs Using Quantitative Kano Analysis," Energies, MDPI, vol. 7(7), pages 1-16, July.
    3. Swanson, Laura, 1997. "An empirical study of the relationship between production technology and maintenance management," International Journal of Production Economics, Elsevier, vol. 53(2), pages 191-207, November.
    4. Kuschel, Torben & Bock, Stefan, 2016. "The weighted uncapacitated planned maintenance problem: Complexity and polyhedral properties," European Journal of Operational Research, Elsevier, vol. 250(3), pages 773-781.
    5. Coria, V.H. & Maximov, S. & Rivas-Dávalos, F. & Melchor, C.L. & Guardado, J.L., 2015. "Analytical method for optimization of maintenance policy based on available system failure data," Reliability Engineering and System Safety, Elsevier, vol. 135(C), pages 55-63.
    6. Vineyard, Michael & Amoako-Gyampah, Kwasi & Meredith, Jack R., 1999. "Failure rate distributions for flexible manufacturing systems: An empirical study," European Journal of Operational Research, Elsevier, vol. 116(1), pages 139-155, July.
    7. Lupo, Toni, 2015. "Fuzzy ServPerf model combined with ELECTRE III to comparatively evaluate service quality of international airports in Sicily," Journal of Air Transport Management, Elsevier, vol. 42(C), pages 249-259.
    8. Swanson, Laura, 2001. "Linking maintenance strategies to performance," International Journal of Production Economics, Elsevier, vol. 70(3), pages 237-244, April.
    9. Hamzeh Soltanali & Mehdi Khojastehpour & Siamak Kheybari, 2023. "Evaluating the critical success factors for maintenance management in agro-industries using multi-criteria decision-making techniques," Operations Management Research, Springer, vol. 16(2), pages 949-968, June.
    10. Tae-Woo Kim & Yenjae Chang & Dae-Wook Kim & Man-Keun Kim, 2020. "Preventive Maintenance and Forced Outages in Power Plants in Korea," Energies, MDPI, vol. 13(14), pages 1-12, July.
    11. Chang, Yu-Hern & Yeh, Chung-Hsing, 2002. "A survey analysis of service quality for domestic airlines," European Journal of Operational Research, Elsevier, vol. 139(1), pages 166-177, May.
    12. Hoskins, R. P. & Brint, A. T. & Strbac, G., 1999. "A structured approach to Asset Management within the electricity industry," Utilities Policy, Elsevier, vol. 7(4), pages 221-232, February.
    13. Vanneste, S. G. & Van Wassenhove, L. N., 1995. "An integrated and structured approach to improve maintenance," European Journal of Operational Research, Elsevier, vol. 82(2), pages 241-257, April.
    14. Alsyouf, Imad, 2007. "The role of maintenance in improving companies' productivity and profitability," International Journal of Production Economics, Elsevier, vol. 105(1), pages 70-78, January.
    15. Olcer, A. I. & Odabasi, A. Y., 2005. "A new fuzzy multiple attributive group decision making methodology and its application to propulsion/manoeuvring system selection problem," European Journal of Operational Research, Elsevier, vol. 166(1), pages 93-114, October.
    16. Faccio, M. & Persona, A. & Sgarbossa, F. & Zanin, G., 2014. "Industrial maintenance policy development: A quantitative framework," International Journal of Production Economics, Elsevier, vol. 147(PA), pages 85-93.
    17. S. Mostafa Mokhtari & Hamid Alinejad-Rokny & Hossein Jalalifar, 2014. "Selection of the best well control system by using fuzzy multiple-attribute decision-making methods," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(5), pages 1105-1121, May.
    18. Hung, Yick-Hin & Li, Leon Y.O. & Cheng, T.C.E., 2022. "Uncovering hidden capacity in overall equipment effectiveness management," International Journal of Production Economics, Elsevier, vol. 248(C).
    19. Alaa Alden Al Mohamed & Sobhi Al Mohamed & Moustafa Zino, 2023. "Application of fuzzy multicriteria decision-making model in selecting pandemic hospital site," Future Business Journal, Springer, vol. 9(1), pages 1-22, December.
    20. Toon Vanderschueren & Robert Boute & Tim Verdonck & Bart Baesens & Wouter Verbeke, 2022. "Prescriptive maintenance with causal machine learning," Papers 2206.01562, arXiv.org.

    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:84:y:2003:i:1:p:85-100. 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/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.