IDEAS home Printed from https://ideas.repec.org/a/sae/risrel/v229y2015i2p151-168.html
   My bibliography  Save this article

A multi-constrained maintenance scheduling optimization model for a hydrocarbon processing facility

Author

Listed:
  • Qadeer Ahmed
  • Kamran S Moghaddam
  • Syed A Raza
  • Faisal I Khan

Abstract

A maintenance scheduling optimization model considering equipment risk, total maintenance cost, system reliability and availability is proposed. This work is motivated by gas processing operator’s concern of high maintenance cost, poor availability and reliability caused by inefficient maintenance scheduling. The approach presented in this article addresses the optimization of maintenance cost by efficiently scheduling maintenance task subject to reliability and availability constraints. Four maintenance actions are considered for each equipment, namely, corrective, replacement, maintenance and inspection. The proposed solution develops maintenance schedules for complex repairable system with equipment operating in series. Two single-objective, nonlinear mathematical models are presented to find the optimal maintenance cost subject to reliability and system reliability subject to availability constraint. A goal programming model is also proposed to simultaneously deal with multiple criteria based on their importance and defined goals. A gas absorption system of a hydrocarbon processing facility is used to ensure the practicality of the proposed formulation to real industry problems. A comparison of existing and proposed formulation is carried out to show that the proposed optimization approach is an efficient method for optimizing maintenance schedules and flexibility to adjust schedules in a complex operating system.

Suggested Citation

  • Qadeer Ahmed & Kamran S Moghaddam & Syed A Raza & Faisal I Khan, 2015. "A multi-constrained maintenance scheduling optimization model for a hydrocarbon processing facility," Journal of Risk and Reliability, , vol. 229(2), pages 151-168, April.
  • Handle: RePEc:sae:risrel:v:229:y:2015:i:2:p:151-168
    DOI: 10.1177/1748006X15573166
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1748006X15573166
    Download Restriction: no

    File URL: https://libkey.io/10.1177/1748006X15573166?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. Sander, Peter & Wang, Wenbin, 2000. "Maintenance and reliability," International Journal of Production Economics, Elsevier, vol. 67(1), pages 1-2, 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. Braglia, Marcello & Carmignani, Gionata & Frosolini, Marco & Zammori, Francesco, 2012. "Data classification and MTBF prediction with a multivariate analysis approach," Reliability Engineering and System Safety, Elsevier, vol. 97(1), pages 27-35.
    2. Wenbin Cao & Xisheng Jia & Yu Liu & Qiwei Hu & Jianmin Zhao, 2019. "Selective maintenance optimisation considering random common cause failures and imperfect maintenance," Journal of Risk and Reliability, , vol. 233(3), pages 427-443, June.
    3. Wang, Wenbin, 2012. "An overview of the recent advances in delay-time-based maintenance modelling," Reliability Engineering and System Safety, Elsevier, vol. 106(C), pages 165-178.
    4. W Wang, 2003. "Modelling condition monitoring intervals: A hybrid of simulation and analytical approaches," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(3), pages 273-282, March.

    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:sae:risrel:v:229:y:2015:i:2:p:151-168. 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: SAGE Publications (email available below). General contact details of provider: .

    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.