IDEAS home Printed from https://ideas.repec.org/a/eee/juipol/v7y1999i4p221-232.html
   My bibliography  Save this article

A structured approach to Asset Management within the electricity industry

Author

Listed:
  • Hoskins, R. P.
  • Brint, A. T.
  • Strbac, G.

Abstract

No abstract is available for this item.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:juipol:v:7:y:1999:i:4:p:221-232
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0957-1787(98)00015-0
    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. Pintelon, L. M. & Gelders, L. F., 1992. "Maintenance management decision making," European Journal of Operational Research, Elsevier, vol. 58(3), pages 301-317, May.
    2. Cho, Danny I. & Parlar, Mahmut, 1991. "A survey of maintenance models for multi-unit systems," European Journal of Operational Research, Elsevier, vol. 51(1), pages 1-23, March.
    3. Richard Barlow & Larry Hunter, 1960. "Optimum Preventive Maintenance Policies," Operations Research, INFORMS, vol. 8(1), pages 90-100, February.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Mirzaei, Mohammad Javad & Amirioun, Mohammad Hassan & Kazemi, Ahad & Dashti, Reza, 2020. "Optimal contracting strategies for public-lighting asset management:A case study from Iran," Utilities Policy, Elsevier, vol. 64(C).
    2. Mirzaei, Mohammad Javad & Dashti, Reza & Kazemi, Ahad & Amirioun, Mohammad Hassan, 2015. "An asset-management model for use in the evaluation and regulation of public-lighting systems," Utilities Policy, Elsevier, vol. 32(C), pages 19-28.

    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. Jaturonnatee, J. & Murthy, D.N.P. & Boondiskulchok, R., 2006. "Optimal preventive maintenance of leased equipment with corrective minimal repairs," European Journal of Operational Research, Elsevier, vol. 174(1), pages 201-215, October.
    2. Crespo Marquez, Adolfo & Gupta, Jatinder N.D., 2006. "Contemporary maintenance management: process, framework and supporting pillars," Omega, Elsevier, vol. 34(3), pages 313-326, June.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Briš, Radim & Byczanski, Petr & Goňo, Radomír & Rusek, Stanislav, 2017. "Discrete maintenance optimization of complex multi-component systems," Reliability Engineering and System Safety, Elsevier, vol. 168(C), pages 80-89.
    8. Silver, Edward A. & Fiechter, Claude-Nicolas, 1995. "Preventive maintenance with limited historical data," European Journal of Operational Research, Elsevier, vol. 82(1), pages 125-144, April.
    9. Dmitry BANNIKOV & Nina SIRINA & Alexander SMOLYANINOV, 2018. "Model Of The Maintenance And Repair System In Service Maintenance Management," Transport Problems, Silesian University of Technology, Faculty of Transport, vol. 13(3), pages 5-14, September.
    10. Su, Chao-Ton & Wu, Sung-Chi & Chang, Cheng-Chang, 2000. "Multiaction maintenance subject to action-dependent risk and stochastic failure," European Journal of Operational Research, Elsevier, vol. 125(1), pages 133-148, August.
    11. Sidibé, I.B. & Khatab, A. & Diallo, C. & Adjallah, K.H., 2016. "Kernel estimator of maintenance optimization model for a stochastically degrading system under different operating environments," Reliability Engineering and System Safety, Elsevier, vol. 147(C), pages 109-116.
    12. Insua, David Rios & Ruggeri, Fabrizio & Soyer, Refik & Wilson, Simon, 2020. "Advances in Bayesian decision making in reliability," European Journal of Operational Research, Elsevier, vol. 282(1), pages 1-18.
    13. Francesco Corman & Sander Kraijema & Milinko Godjevac & Gabriel Lodewijks, 2017. "Optimizing preventive maintenance policy: A data-driven application for a light rail braking system," Journal of Risk and Reliability, , vol. 231(5), pages 534-545, October.
    14. Meller, Russell D. & Kim, David S., 1996. "The impact of preventive maintenance on system cost and buffer size," European Journal of Operational Research, Elsevier, vol. 95(3), pages 577-591, December.
    15. Aghezzaf, El-Houssaine & Khatab, Abdelhakim & Tam, Phuoc Le, 2016. "Optimizing production and imperfect preventive maintenance planning׳s integration in failure-prone manufacturing systems," Reliability Engineering and System Safety, Elsevier, vol. 145(C), pages 190-198.
    16. Zhang, Xiaohong & Zeng, Jianchao, 2015. "A general modeling method for opportunistic maintenance modeling of multi-unit systems," Reliability Engineering and System Safety, Elsevier, vol. 140(C), pages 176-190.
    17. Wang, Hongzhou, 2002. "A survey of maintenance policies of deteriorating systems," European Journal of Operational Research, Elsevier, vol. 139(3), pages 469-489, June.
    18. Wang, Jingjing & Qiu, Qingan & Wang, Huanhuan, 2021. "Joint optimization of condition-based and age-based replacement policy and inventory policy for a two-unit series system," Reliability Engineering and System Safety, Elsevier, vol. 205(C).
    19. Sandve, Kjell & Aven, Terje, 1999. "Cost optimal replacement of monotone, repairable systems," European Journal of Operational Research, Elsevier, vol. 116(2), pages 235-248, July.
    20. Scarf, Philip A., 1997. "On the application of mathematical models in maintenance," European Journal of Operational Research, Elsevier, vol. 99(3), pages 493-506, 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:juipol:v:7:y:1999:i:4:p:221-232. 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: https://www.sciencedirect.com/journal/utilities-policy .

    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.