[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/ids/ijpman/v9y2016i6p733-750.html
   My bibliography  Save this article

A collaborative supply chain inventory model with defective items, adjusted production rate and variable lead time

Author

Listed:
  • Wakhid Ahmad Jauhari
  • Nelita Putri Sejati
  • Cucuk Nur Rosyidi
Abstract
This paper proposes a production-inventory model for supply chain system consisting of single-vendor and single-buyer. The buyer uses periodic review policy to manage his inventory. The lead time is formulated by considering production time and transportation time. Moreover, the demand in buyer side is assumed to be normally distributed and the shortage is assumed to be fully backordered. The production process maybe deteriorated during production time hence the lot received by the buyer may contain some defective items. The defective rate of the items is assumed to be fixed. The objective of the proposed model is to determine review period, production rate and number of deliveries to minimise the joint total cost. An iterative procedure is proposed for finding the solutions of the model. A numerical example and sensitivity analysis are illustrated to show the model's behaviour.

Suggested Citation

  • Wakhid Ahmad Jauhari & Nelita Putri Sejati & Cucuk Nur Rosyidi, 2016. "A collaborative supply chain inventory model with defective items, adjusted production rate and variable lead time," International Journal of Procurement Management, Inderscience Enterprises Ltd, vol. 9(6), pages 733-750.
    • Handle: RePEc:ids:ijpman:v:9:y:2016:i:6:p:733-750
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=79983
    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. Dhahri, Akrem & Gharbi, Ali & Ouhimmou, Mustapha, 2022. "Integrated production-delivery control policy for an unreliable manufacturing system and multiple retailers," International Journal of Production Economics, Elsevier, vol. 245(C).
    2. Wakhid Ahmad Jauhari & I Nyoman Pujawan & Mokh Suef, 2023. "Sustainable inventory management with hybrid production system and investment to reduce defects," Annals of Operations Research, Springer, vol. 324(1), pages 543-572, May.
    3. Glock, Christoph H. & Grosse, Eric H., 2021. "The impact of controllable production rates on the performance of inventory systems: A systematic review of the literature," European Journal of Operational Research, Elsevier, vol. 288(3), pages 703-720.

    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:9:y:2016:i:6:p:733-750. 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.