IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v126y2004i1p159-17510.1023-banor.0000012279.78938.6b.html
   My bibliography  Save this article

Random Demand Satisfaction in Unreliable Production–Inventory–Customer Systems

Author

Listed:
  • Jingshan Li
  • Emre Enginarlar
  • Semyon Meerkov

Abstract

A method for calculating the probability of customer demand satisfaction in production–inventory–customer systems with Markovian machines, finite finished goods buffers, and random demand is developed. Using this method, the degradation of this probability as a function of demand variability is quantified. In addition, it is shown by examples that the probability of customer demand satisfaction depends primarily on the coefficient of variation, rather than on the complete distribution, of the demand. Copyright Kluwer Academic Publishers 2004

Suggested Citation

  • Jingshan Li & Emre Enginarlar & Semyon Meerkov, 2004. "Random Demand Satisfaction in Unreliable Production–Inventory–Customer Systems," Annals of Operations Research, Springer, vol. 126(1), pages 159-175, February.
    • Handle: RePEc:spr:annopr:v:126:y:2004:i:1:p:159-175:10.1023/b:anor.0000012279.78938.6b
    DOI: 10.1023/B:ANOR.0000012279.78938.6b
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1023/B:ANOR.0000012279.78938.6b
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1023/B:ANOR.0000012279.78938.6b?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
    ---><---

    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. Yihai He & Changchao Gu & Xiao Han & Jiaming Cui & Zhaoxiang Chen, 2017. "Mission reliability modeling for multi-station manufacturing system based on Quality State Task Network," Journal of Risk and Reliability, , vol. 231(6), pages 701-715, December.
    2. Shib Sana, 2015. "An EOQ model for stochastic demand for limited capacity of own warehouse," Annals of Operations Research, Springer, vol. 233(1), pages 383-399, October.
    3. Jiarong Luo & Xu Chen, 2017. "Risk hedging via option contracts in a random yield supply chain," Annals of Operations Research, Springer, vol. 257(1), pages 697-719, October.

    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:spr:annopr:v:126:y:2004:i:1:p:159-175:10.1023/b:anor.0000012279.78938.6b. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.