Evaluating the logistics performance of intermodal transportation in Thailand

Abstract

Purpose The purpose of this paper is to evaluate the logistics performance of intermodal freight transportation, a reasonably innovative methodology, to Thailand. Design/methodology/approach Fuzzy set techniques are applied to assess the meaning of logistics performance within the decision process of freight operators. The fuzzy‐analytical hierarchy process is applied to identify the relative significance among the attributes in the hierarchy framework levels. Consequently, the fuzzy‐multi‐criteria analysis is used to assess decision makers' perception of the logistics performance via proper assignment of numerical scores. The subjective judgments for hierarchical attributes are transformed into fuzzy degrees of score. Findings Results show a summary of performance indices for different levels in the hierarchy framework. The results demonstrate that the lack of coordination among modes limit the attractiveness of intermodal system. In addition, the methodology is proposed to examine changing variables regarding modal shift and challenge the truck dominance in Thailand. Research limitations/implications The proposed framework is only a starting point for integrating the views of logistics operators in the analytical processes. This study did not include several external social costs such as accidents, congestion, and environmental costs. Practical implications The methodology provides an approach lead to the index values for assessment and comparative analysis. The strengths and limitations of each alternative were benchmarked relative to a set of hierarchical attributes. Sensitivity analyses of significant variables are performed to examine the impact on changed costs and services levels. The model can entail use of corresponding parameters to improve a logistics system. Originality/value The performance measurement is formulated from the modal choice perspective with a human decision problem. The use of logistics performance base indicators has been linked to the intermodal transport system. This study extends the newly developed methodological framework to evaluate the logistics performance of intermodal transportation.

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