The impact of logistics uncertainty on sustainable transport operations

Abstract

Purpose

The purpose of this paper is to refine a logistics triad uncertainty model taking a supply chain perspective, to determine and assess the different causes and sources of supply chain uncertainty that impact on the sustainability of the UK road freight transport sector.

Design/methodology/approach

To clarify the link between sustainability and transport uncertainty, a methodological triangulation strategy is applied combining the results of eight focus groups and an online structured questionnaire.

Findings

The findings indicate that the main drivers impacting the sustainability of transport operations are delays, variable demand/poor information, delivery constraints and insufficient supply chain integration. The consequence of these problems is to reduce the efficiency of transport operations.

Research limitations/implications

The model has been refined based only on participants' perceptions. Therefore, the finding should also be verified through the investigation of real‐world situations. Moreover, the transport uncertainty model needs to be incorporated within a wider business process re‐engineering approach to evaluate solutions to reduce transport uncertainty within supply chains.

Practical implications

The findings further strengthen the understanding of the main uncertainty sources within supply chains in the UK. The internal root causes of uncertainty can be mitigated while external issues have to be accommodated; therefore, mitigation techniques, methods and strategies for reducing external and internal supply chain uncertainty in transport operations need to be identified through the research.

Originality/value

This paper determines the industry perceived economic and environmental risks associated with transport operations in four UK sectors.

Citation

Sanchez‐Rodrigues, V., Potter, A. and Naim, M.M. (2010), "The impact of logistics uncertainty on sustainable transport operations", International Journal of Physical Distribution & Logistics Management, Vol. 40 No. 1/2, pp. 61-83. https://doi.org/10.1108/09600031011018046