IDEAS home Printed from https://ideas.repec.org/a/ids/eujine/v16y2022i3p268-293.html
   My bibliography  Save this article

A decision-support model for dock and transport management after inbound logistics disruptions in the automotive sector

Author

Listed:
  • Mohammadtaghi Falsafi
  • Davide Masera
  • Julien Mascolo
  • Rosanna Fornasiero

Abstract

One of the major disruptions in automotive supply chain is related to the on-time arrival of components from suppliers to assembly plants. In this paper, we develop an operative decision-support model to avoid the ripple effect of these disruptions on production scheduling. In particular, based on strategies for truck-dock re-assignment and transport mode selection, the model is applied to a case study at Fiat Chrysler Automobiles (FCA). Moreover, the paper elaborates on the resilience and robustness of the supply chain in dealing with vulnerabilities in different phases of decision-making. The model allows supply chain managers to efficiently organise the transport modes of delayed orders, the in-plant material handling equipment, the arrival of trucks in the parking lot, and the use of inbound docks. [Submitted: 10 January 2021; Accepted: 5 April 2021]

Suggested Citation

  • Mohammadtaghi Falsafi & Davide Masera & Julien Mascolo & Rosanna Fornasiero, 2022. "A decision-support model for dock and transport management after inbound logistics disruptions in the automotive sector," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 16(3), pages 268-293.
    • Handle: RePEc:ids:eujine:v:16:y:2022:i:3:p:268-293
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=121895
    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. Nan Li & Muzi Chen & Difang Huang, 2022. "How Do Logistics Disruptions Affect Rural Households? Evidence from COVID-19 in China," Sustainability, MDPI, vol. 15(1), pages 1-17, 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:eujine:v:16:y:2022:i:3:p:268-293. 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=210 .

    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.