IDEAS home Printed from https://ideas.repec.org/a/ids/ijpman/v11y2018i1p36-52.html
   My bibliography  Save this article

A production inventory model for deteriorating products with selling price dependent consumption rate and shortages under inflationary environment

Author

Listed:
  • Mohit Rastogi
  • S.R. Singh

Abstract

In today's highly competitive market, every business needs a high investment which is directly correlated to the return of the investment. The business will not be advantageous, if the return rate of investment is lesser than the inflation rate. In almost developed models, it is believed that distinct costs related with inventory systems will be constant all the time but in reality it is not true. As the time increases, inflation becomes a considerable function and the costs related to the model differ. This research article presents a production inventory model for deteriorating products with selling price dependent demand and shortages under inflationary environment. The production rate considered here is a function of occurring demand. The shortages during stock out assumed to be partially backlogged. The intention of this study is to compute the optimal value of production period and shortage period. A solution procedure and numerical example are presented to illustrate the implementation of proposed study. A sensitivity analysis with respect to distinct system parameters is also presented to check the stability of the optimal solution.

Suggested Citation

  • Mohit Rastogi & S.R. Singh, 2018. "A production inventory model for deteriorating products with selling price dependent consumption rate and shortages under inflationary environment," International Journal of Procurement Management, Inderscience Enterprises Ltd, vol. 11(1), pages 36-52.
  • Handle: RePEc:ids:ijpman:v:11:y:2018:i:1:p:36-52
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=88614
    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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Md Sadikur Rahman & Subhajit Das & Amalesh Kumar Manna & Ali Akbar Shaikh & Asoke Kumar Bhunia & Leopoldo Eduardo Cárdenas-Barrón & Gerardo Treviño-Garza & Armando Céspedes-Mota, 2021. "A Mathematical Model of the Production Inventory Problem for Mixing Liquid Considering Preservation Facility," Mathematics, MDPI, vol. 9(24), pages 1-19, December.
    2. Chaman Singh & Gurudatt Rao Ambedkar, 2023. "Optimizing EOQ model for expiring items with stock, selling cost and lifetime dependent demand under inflation," OPSEARCH, Springer;Operational Research Society of India, vol. 60(1), pages 174-187, 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:ids:ijpman:v:11:y:2018:i:1:p:36-52. 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=255 .

    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.