IDEAS home Printed from https://ideas.repec.org/a/ids/ijlsma/v49y2024i1p36-65.html
   My bibliography  Save this article

Conceptual framework to model and analyse the distribution structure decisions in logistics

Author

Listed:
  • Rajiv Kumar Sharma

Abstract

The purpose of this research paper is to present a conceptual framework to model and analyse the structural relationship among various dimensions which affect distribution structure decisions in logistics. Based upon the critical scrutiny of literature studies eight dimensions associated with the selection of distribution structure decisions in logistics are identified. These dimensions are validated through questionnaire survey followed by the hypothesis testing using non-parametric statistical tests. The dimensions are used to build the structural relationship model using interpretive structure modelling. From the ISM model it is observed that demand level, service level, logistics cost, and business strategy are placed at the topmost level in the ISM model followed by product characteristics and labour and land availability at middle level and location accessibility, and organisational factors at bottom level of the model. MICMAC analysis depicts the driving and dependence power among the dimensions. Further, based upon fuzzy logic approach the effect of dependent dimensions on the selection of distribution structure is analysed. It is evident from the simulation experiments that the proposed model successfully narrows down the intricacies involved in distribution structure selection.

Suggested Citation

  • Rajiv Kumar Sharma, 2024. "Conceptual framework to model and analyse the distribution structure decisions in logistics," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 49(1), pages 36-65.
  • Handle: RePEc:ids:ijlsma:v:49:y:2024:i:1:p:36-65
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=141529
    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.

    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:ijlsma:v:49:y:2024:i:1:p:36-65. 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=134 .

    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.