IDEAS home Printed from https://ideas.repec.org/a/pal/jorsoc/v52y2001i12d10.1057_palgrave.jors.2601238.html
   My bibliography  Save this article

Joint determination of production quantity, inspection schedule, and quality control for an imperfect process with deteriorating products

Author

Listed:
  • M A Rahim

    (University of New Brunswick)

  • M Ben-Daya

    (King Fahd University of Petroleum and Minerals)

Abstract

In this paper, we study the simultaneous effects of both deteriorating product items and deteriorating production processes on economic production quantity, inspection schedules, and the economic design of control charts. Deterioration times for both product and process are assumed to follow arbitrary probability distributions. The product quality characteristic, however, is assumed to be normally distributed. Applications of the proposed model are demonstrated through illustrative examples.

Suggested Citation

  • M A Rahim & M Ben-Daya, 2001. "Joint determination of production quantity, inspection schedule, and quality control for an imperfect process with deteriorating products," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 52(12), pages 1370-1378, December.
    • Handle: RePEc:pal:jorsoc:v:52:y:2001:i:12:d:10.1057_palgrave.jors.2601238
    DOI: 10.1057/palgrave.jors.2601238
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/palgrave.jors.2601238
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1057/palgrave.jors.2601238?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. Jeang, Angus, 2012. "Simultaneous determination of production lot size and process parameters under process deterioration and process breakdown," Omega, Elsevier, vol. 40(6), pages 774-781.
    2. Castellano, Davide & Glock, Christoph H., 2024. "Economic production quantity for a decaying item with stochastic demand and positive lead time," International Journal of Production Economics, Elsevier, vol. 267(C).
    3. Chakraborty, Tulika & Giri, B.C. & Chaudhuri, K.S., 2009. "Production lot sizing with process deterioration and machine breakdown under inspection schedule," Omega, Elsevier, vol. 37(2), pages 257-271, April.
    4. Yoo, Seung Ho & Kim, DaeSoo & Park, Myung-Sub, 2009. "Economic production quantity model with imperfect-quality items, two-way imperfect inspection and sales return," International Journal of Production Economics, Elsevier, vol. 121(1), pages 255-265, September.
    5. Chiu, Singa Wang & Chou, Chung-Li & Wu, Wen-Kuei, 2013. "Optimizing replenishment policy in an EPQ-based inventory model with nonconforming items and breakdown," Economic Modelling, Elsevier, vol. 35(C), pages 330-337.
    6. A. Azadeh & M. Sheikhalishahi & S. Mortazavi & E. Ahmadi Jooghi, 2017. "Joint quality control and preventive maintenance strategy: a unique taguchi approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(1), pages 123-134, March.
    7. Budai-Balke, G. & Dekker, R. & Nicolai, R.P., 2006. "A review of planning models for maintenance and production," Econometric Institute Research Papers EI 2006-44, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    8. Yoo, Seung Ho & Kim, DaeSoo & Park, Myung-Sub, 2012. "Lot sizing and quality investment with quality cost analyses for imperfect production and inspection processes with commercial return," International Journal of Production Economics, Elsevier, vol. 140(2), pages 922-933.
    9. Byung Duk Song & Young Dae Ko, 2017. "Effect of Inspection Policies and Residual Value of Collected Used Products: A Mathematical Model and Genetic Algorithm for a Closed-Loop Green Manufacturing System," Sustainability, MDPI, vol. 9(9), pages 1-14, September.
    10. Chakraborty, Tulika & Giri, B.C. & Chaudhuri, K.S., 2008. "Production lot sizing with process deterioration and machine breakdown," European Journal of Operational Research, Elsevier, vol. 185(2), pages 606-618, 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:pal:jorsoc:v:52:y:2001:i:12:d:10.1057_palgrave.jors.2601238. 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.palgrave-journals.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.