IDEAS home Printed from https://ideas.repec.org/a/ids/injams/v7y2015i2p93-122.html
   My bibliography  Save this article

A fuzzy collaborative supply chain inventory model with controllable setup cost and service level constraint for imperfect items

Author

Listed:
  • Nughthoh Arfawi Kurdhi
  • Sri Maria Puji Lestari
  • Yuliana Susanti

Abstract

This paper presents a fuzzy collaborative vendor-buyer production-inventory model under service level constraint. The vendor's production process is imperfect and an order lot may contain a certain number of imperfect items with a known probability density function. This article assumes that setup cost and lead time can be reduced at an investing cost and at a crashing cost, respectively. The fuzzy total joint cost under fuzzy average demand is also considered. In this study, we consider two cases of lead time demand that are normal distribution and distribution free. The objective is to simultaneously optimise the lot size, lead time, reorder point, setup cost and number of shipment in one production cycle, constrained on a service level, such that minimise the total joint cost. In distribution free case, we apply a minimax distribution free procedure to determine the optimal solution. Numerical examples are used to illustrate the benefits of integration.

Suggested Citation

  • Nughthoh Arfawi Kurdhi & Sri Maria Puji Lestari & Yuliana Susanti, 2015. "A fuzzy collaborative supply chain inventory model with controllable setup cost and service level constraint for imperfect items," International Journal of Applied Management Science, Inderscience Enterprises Ltd, vol. 7(2), pages 93-122.
  • Handle: RePEc:ids:injams:v:7:y:2015:i:2:p:93-122
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=69265
    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. Ritu Motla & Ashok Kumar & S. R. Singh & Neha Saxena, 2021. "A fuzzy integrated inventory system with end of life treatment: a possibility in sports industry," OPSEARCH, Springer;Operational Research Society of India, vol. 58(4), pages 869-888, December.

    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:injams:v:7:y:2015:i:2:p:93-122. 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=286 .

    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.