IDEAS home Printed from https://ideas.repec.org/a/wsi/apjorx/v25y2008i02ns0217595908001687.html
   My bibliography  Save this article

An Eoq Model With Controllable Selling Rate

Author

Listed:
  • HORNG-JINH CHANG

    (Asia University, Taichung 413, Taiwan)

  • PO-YU CHEN

    (Graduate Institute of Management Sciences, Tamkang University, Taipei 251, Taiwan)

Abstract

According to the marketing principle, a decision maker may control demand rate through selling price and the unit facility cost of promoting transaction. In fact, the upper bound of willing-to-pay price and the transaction cost probably depend upon the subjective judgment of individual consumer in purchasing merchandise. This study therefore attempts to construct a bivariate distribution function to simultaneously incorporate the willing-to-pay price and the transaction cost into the classical economic order quantity (EOQ) model. Through the manipulation of the constructed bivariate distribution function, the demand function faced by the supplier can be expressed as a concrete form. The proposed mathematical model mainly concerns how to determine the initial inventory level for each business cycle, so that the profit per unit time is maximized by means of the selling price and the unit-transaction cost to control the selling rate. Furthermore, the sensitivity analysis of optimal solution is performed and the implication of this extended inventory model is also discussed.

Suggested Citation

  • Horng-Jinh Chang & Po-Yu Chen, 2008. "An Eoq Model With Controllable Selling Rate," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 25(02), pages 151-167.
  • Handle: RePEc:wsi:apjorx:v:25:y:2008:i:02:n:s0217595908001687
    DOI: 10.1142/S0217595908001687
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0217595908001687
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1142/S0217595908001687?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. Miao-Sheng Chen & Meng-Feng Lin, 2018. "How to Make the Optimization Model for Parking Lots in Taipei," International Journal of Business and Management, Canadian Center of Science and Education, vol. 13(7), pages 262-262, June.
    2. Po-Yu Chen, 2017. "Optimal Retail Price Model for Partial Consignment to Multiple Retailers," Complexity, Hindawi, vol. 2017, pages 1-11, December.

    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:wsi:apjorx:v:25:y:2008:i:02:n:s0217595908001687. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/apjor/apjor.shtml .

    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.