IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-642-37270-4_50.html
   My bibliography  Save this book chapter

A Mixed-Integer Linear Programming Model for an Integrated Planting, Harvesting, and Procuring in Pickled Ginger Industry

In: The 19th International Conference on Industrial Engineering and Engineering Management

Author

Listed:
  • A. Ritvirool

    (Naresuan University)

  • A. Pantong

    (University of Phayao)

Abstract

This paper addresses a production and procuring problem for fresh ginger rhizomes in a real-world pickled ginger industry. Planting and harvesting schedules affect fresh ginger rhizomes requirements for producing a pickled ginger. The management faces with the unbalance of fresh ginger rhizomes supply due to the lack of a decision support tool. Consequently, the requirements of the plant are not satisfied. A mixed-integer linear programming model has been developed for the problem to minimize the total cost, including cultivating cost, harvesting cost, inbound transportation cost, and purchasing cost. The numerical examples using the data from an industrial case study of pickled ginger plant are presented to illustrate how the proposed model could be applied to actual systems.

Suggested Citation

  • A. Ritvirool & A. Pantong, 2013. "A Mixed-Integer Linear Programming Model for an Integrated Planting, Harvesting, and Procuring in Pickled Ginger Industry," Springer Books, in: Ershi Qi & Jiang Shen & Runliang Dou (ed.), The 19th International Conference on Industrial Engineering and Engineering Management, edition 127, chapter 0, pages 521-529, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-37270-4_50
    DOI: 10.1007/978-3-642-37270-4_50
    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.

    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:spr:sprchp:978-3-642-37270-4_50. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.