IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/2453703.html
   My bibliography  Save this article

Selecting the Optimal Green Supplier and Order Allocation under Linear Discount

Author

Listed:
  • C. Lakshmanpriya
  • A. Kumaravel
  • M. Saravanan
  • P. Manoj Kumar
  • Arunava Majumder

Abstract

Selecting the right supplier can be one of the most critical decisions for manufacturing firms. Strategic issues often dictate whether a company thrives or fails. When making important decisions, certain people consider the importance of green-friendly criteria before selecting a supplier. Various companies prioritize green suppliers in their selection process. This work considers the grey method of choosing green suppliers by considering the excellence and weakness. In addition to the green suppliers, the allocation of orders is carried out. The green vendors are focused on utilizing grey, and the demand is assigned by utilizing linear discounts for multiple products and time periods. This work introduces an integrated model with multiple products and time periods for determining demand using green criteria. The outcome of this work is to assign orders to the best suppliers to increase total purchase value while reducing total purchase costs. Then, the method is depicted with a numerical model in a linear discount scenario. A sensitivity analysis was carried out. TVP and TCP differences in order quantity and optimum solution are illustrated in the sensitivity analysis. The numerical model is programmed and resolved by LINGO 18.

Suggested Citation

  • C. Lakshmanpriya & A. Kumaravel & M. Saravanan & P. Manoj Kumar & Arunava Majumder, 2022. "Selecting the Optimal Green Supplier and Order Allocation under Linear Discount," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-13, April.
    • Handle: RePEc:hin:jnlmpe:2453703
    DOI: 10.1155/2022/2453703
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/mpe/2022/2453703.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/mpe/2022/2453703.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2022/2453703?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
    ---><---

    Citations

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


    Cited by:

    1. Anqi Ren & Xintao Zhao & Qi Liu & Lixingbo Yu & Fengfan Han & Fei Jia & Haochen Hou & Ying Liu, 2023. "Green Supplier Assessment and Selection for Sea Cucumber ( Apostichopus japonicus ) Processing Enterprise: Case Study in China," Sustainability, MDPI, vol. 15(21), pages 1-21, October.

    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:hin:jnlmpe:2453703. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    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.