IDEAS home Printed from https://ideas.repec.org/a/ids/ijsoma/v45y2023i2p170-186.html
   My bibliography  Save this article

Cancer-curing supply chain planning with regard to hospital bed-capacity efficiency: a plan for Iran in 2040

Author

Listed:
  • Mina Haghshenas
  • Arash Nemati
  • Ebrahim Asadi-Gangraj

Abstract

Nowadays, historical data show an increasing trend in cancer occurrence worldwide. Gathering all specialised cancer services in a cancer hospital increases cancer patients' satisfaction by decreasing fatigue, stress, and wasted time. This paper addresses the cancer hospital location-allocation problem as an important issue in cancer curing supply chain management. A mixed-integer linear mathematical model is developed to locate the cancer hospitals in candidate regions and allocate the cancer patients to proper destinations under bed-capacity efficiency consideration. The model minimises the total cost, including the cancer patients' travelling cost, and the allocated bed-capacity providing cost. The cancer hospitals' bed-capacity efficiency is mentioned as an important constraint of the model. The model is applied in the case of Iran in 2040. The cost parameters are calculated based on the time value of money concept. The annual cancer new cases in each province are forecasted by using simple linear regression models. Finally, 24 provinces are selected to construct at least one cancer hospital, and all cancer patients are allocated to them. The results can be used by Iran's governmental healthcare authorities or by private sector managers to do feasibility studies on cancer hospital construction until 2040.

Suggested Citation

  • Mina Haghshenas & Arash Nemati & Ebrahim Asadi-Gangraj, 2023. "Cancer-curing supply chain planning with regard to hospital bed-capacity efficiency: a plan for Iran in 2040," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 45(2), pages 170-186.
  • Handle: RePEc:ids:ijsoma:v:45:y:2023:i:2:p:170-186
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=131495
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:ids:ijsoma:v:45:y:2023:i:2:p:170-186. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=150 .

    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.