Developing “Extra Distance” as a measure for the evaluation of road freight transport performance

Abstract

Purpose

The purpose of this paper is to develop a measure that links the causes and consequences of disruptions in freight transport operations. Such a measure is needed to quantify the scale of impact and identify the root causes of disruptions.

Design/methodology/approach

In order to develop this measure, an inductive approach was adopted, using four primary case studies to test the measure in an industrial environment. The case studies are from the fast moving consumer goods sector with primary and secondary distribution networks included. The “Extra Distance” measure has been evaluated against established generic criteria that define the quality of any performance measure.

Findings

The research indicates good compliance with the criteria used to evaluate the “Extra Distance” measure. The measure is also found to be useful for practitioners who are able to directly relate the measure to their distribution network operations.

Research limitations/implications

Further research should see the “Extra Distance” measure further tested in other freight transport operations and industrial sectors.

Practical implications

The measure is directly related to a number of causes of uncertainty which helps freight transport managers to quickly identify potential solutions. The “Extra Distance” measure can be used to quantify the effects of disruptions which can occur in road freight transport networks generate unnecessary cost within distribution networks, potentially eroding profit margins which are known to be very low in the road freight transport industry.

Originality/value

This paper presents a novel approach to the assessment of the impact caused by uncertainty within freight transport operations.

Citation

Sanchez Rodrigues, V., Cowburn, J., Potter, A., Naim, M. and Whiteing, A. (2014), "Developing “Extra Distance” as a measure for the evaluation of road freight transport performance", International Journal of Productivity and Performance Management, Vol. 63 No. 7, pp. 822-840. https://doi.org/10.1108/IJPPM-05-2013-0091