IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-01672382.html
   My bibliography  Save this paper

Analysis of the Newsboy Problem subject to price dependent demand and multiple discounts

Author

Listed:
  • Shouyu Ma

    (LGI - Laboratoire Génie Industriel - EA 2606 - CentraleSupélec)

  • Zied Jemai
  • Evren Sahin

    (LGI - Laboratoire Génie Industriel - EA 2606 - CentraleSupélec)

  • Yves Dallery

    (LGI - Laboratoire Génie Industriel - EA 2606 - CentraleSupélec)

Abstract

Existing papers on the Newsboy Problem that deal with price dependent demand and multiple discounts often analyze those two problems separately. This paper considers a setting where price dependence and multiple discounts are observed simultaneously, as is the case of the apparel industry. Henceforth, we analyze the optimal order quantity, initial selling price and discount scheme in the News-Vendor Problem context. The term of discount scheme is often used to specify the number of discounts as well as the discount percentages. We present a solution procedure of the problem with general demand distributions and two types of price-dependent demand: additive case and multiplicative case. We provide interesting insights based on a numerical study. An approximation method is proposed which confirms our numerical results.

Suggested Citation

  • Shouyu Ma & Zied Jemai & Evren Sahin & Yves Dallery, 2018. "Analysis of the Newsboy Problem subject to price dependent demand and multiple discounts," Post-Print hal-01672382, HAL.
  • Handle: RePEc:hal:journl:hal-01672382
    DOI: 10.3934/jimo.2017083
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Ma, Shouyu & Jemai, Zied & Bai, Qingguo, 2022. "Optimal pricing and ordering decisions for a retailer using multiple discounts," European Journal of Operational Research, Elsevier, vol. 299(3), pages 1177-1192.
    2. Mehran Ullah & Irfanullah Khan & Biswajit Sarkar, 2019. "Dynamic Pricing in a Multi-Period Newsvendor Under Stochastic Price-Dependent Demand," Mathematics, MDPI, vol. 7(6), pages 1-15, June.

    More about this item

    Statistics

    Access and download statistics

    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:hal:journl:hal-01672382. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.