IDEAS home Printed from https://ideas.repec.org/a/ids/ijpman/v6y2013i4p444-465.html
   My bibliography  Save this article

Production policy for ameliorating/deteriorating items with ramp type demand

Author

Listed:
  • S.K. Goyal
  • S.R. Singh
  • Himani Dem

Abstract

The present work emphasises on livestock production systems having demand varying according to season. Almost all the inventory models have been developed based on such products assuming that all units ameliorate till the stock lasts. However, we have considered a more practical approach considering the gap between the time up to which the entire produced lot ameliorates and the time up to which stock depletes fully. Seasonal variations are commonly observed in livestock consumption across geographies. Therefore, demand varying production is the key to control the yield to avoid the loss due to overstocking. The purpose of this study is to determine the optimal production running, amelioration and shortage time so as to minimise the total relevant cost of the system. A genetic algorithm (GA) has been scripted to solve the mathematically developed economic production quantity (EPQ) model. Numerical examples and some sensitivity analyses are presented to illustrate the model.

Suggested Citation

  • S.K. Goyal & S.R. Singh & Himani Dem, 2013. "Production policy for ameliorating/deteriorating items with ramp type demand," International Journal of Procurement Management, Inderscience Enterprises Ltd, vol. 6(4), pages 444-465.
    • Handle: RePEc:ids:ijpman:v:6:y:2013:i:4:p:444-465
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=54753
    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. Narayan Singh & Bindu Vaish & Shiv Ray Singh, 2014. "A collaborative strategy for a three echelon supply chain with ramp type demand, deterioration and inflation," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 24(3), pages 77-100.
    2. Beatrice Marchi & Lucio E. Zavanella & Simone Zanoni, 2023. "Supply chain finance for ameliorating and deteriorating products: a systematic literature review," Journal of Business Economics, Springer, vol. 93(3), pages 359-388, April.
    3. Udayan Chanda & Alok Kumar, 2019. "Optimization of EOQ Model for New Products Under Multi-Stage Adoption Process," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(02), pages 1-25, April.
    4. Ajoy Hatibaruah & Sumit Saha, 2023. "An inventory model for two-parameter Weibull distributed ameliorating and deteriorating items with stock and advertisement frequency dependent demand under trade credit and preservation technology," OPSEARCH, Springer;Operational Research Society of India, vol. 60(2), pages 951-1002, June.

    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:6:y:2013:i:4:p:444-465. 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.