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A systematic literature review on uncertainties in cross-docking operations

Citation

Ardakani, A and Fei, J, A systematic literature review on uncertainties in cross-docking operations, Modern Supply Chain Research and Applications pp. 1-21. ISSN 2631-3871 (2020) [Refereed Article]


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Copyright Statement

Allahyar (Arsalan) Ardakani and Jiangang Fei. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http:// creativecommons.org/licences/by/4.0/legalcode

DOI: doi:10.1108/MSCRA-04-2019-0011

Abstract

The technique of cross-docking is attractive to organisations because of the lower warehousing and transportation (consolidated shipments) costs. This concept is based on the fast movement of products. Accordingly, cross-docking operations should be monitored carefully and accurately. Several factors in cross-docking operations can be impacted by uncertain sources that can lead to inaccuracy and inefficiency of this process. Although many papers have been published on different aspects of cross-docking, there is a need for a comprehensive review to investigate the sources of uncertainties in cross-docking. Therefore, the purpose of this paper is to analyse and categorise sources of uncertainty in cross-docking operations. A systematic review has been undertaken to analyse methods and techniques used in cross-docking research.

Item Details

Item Type:Refereed Article
Keywords:warehousing, supply chain management, uncertainties, cross-docking, distribution centres, systematic literature review
Research Division:Commerce, Management, Tourism and Services
Research Group:Business and Management
Research Field:Logistics and Supply Chain Management
Objective Division:Transport
Objective Group:Ground Transport
Objective Field:Road Freight
UTAS Author:Ardakani, A (Mr Allahyar Ardakani)
UTAS Author:Fei, J (Associate Professor Jiangang Fei)
ID Code:137654
Year Published:2020
Deposited By:Maritime and Logistics Management
Deposited On:2020-02-25
Last Modified:2020-07-31
Downloads:0

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