Abstract
For companies active in various sectors, the implementation of transport services and other logistics activities has become one of the key factors of efficiency in the total supply chain. Logistics outsourcing is becoming more and more important, and there is an increasing number of third party logistics providers. In this paper, logistics providers were evaluated using the Rough SWARA (Step-Wise Weight Assessment Ratio Analysis) and Rough WASPAS (Weighted Aggregated Sum Product Assessment) models. The significance of the eight criteria on the basis of which evaluation was carried out was determined using the Rough SWARA method. In order to allow for a more precise consensus in group decision-making, the Rough Dombi aggregator was developed in order to determine the initial rough matrix of multi-criteria decision-making. A total of 10 logistics providers dealing with the transport of dangerous goods for chemical industry companies were evaluated using the Rough WASPAS approach. The obtained results demonstrate that the first logistics provider is also the best one, a conclusion confirmed by a sensitivity analysis comprised of three parts. In the first part, parameter ρ was altered through 10 scenarios in which only alternatives four and five change their ranks. In the second part of the sensitivity analysis, a calculation was performed using the following approaches: Rough SAW (Simple Additive Weighting), Rough EDAS (Evaluation Based on Distance from Average Solution), Rough MABAC (MultiAttributive Border Approximation Area Comparison), and Rough TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution). They showed a high correlation of ranks determined by applying Spearman’s correlation coefficient in the third part of the sensitivity analysis.
Highlights
Modern market demands lead to an increase in the volume of dangerous goods production at a global level
A total of 10 logistics providers dealing with the transport of dangerous goods for chemical industry companies were evaluated using the Rough Weighted Aggregated Sum Product Assessment (WASPAS) approach
This paper presents the mathematical formulation of a new rough Dombi weighted geometric averaging (RDWGA) operator for the aggregation of rough expert preference
Summary
Modern market demands lead to an increase in the volume of dangerous goods production at a global level. The number of transport requests for relocating this specific type of good inevitably increases. The basic difference in relation to the transport of classic types of goods is that, in the transport of dangerous materials, participants are faced with additional safety requirements. This type of transport is specific because of the risks that present themselves during the realization of this logistics process [1], which, due to the dangerous properties of the transported matter and potential. That is why the domain of hazardous substances is, at both the national and international levels, one of the most regulated areas in terms of set directives, which are tailored for each type of transport.
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