Abstract
Asphalt production plants play an important role in the field of civil engineering, but also in the entire economic system since the construction of roads enables uninterrupted functioning within it. In this paper, the ranking of asphalt production plants on the territory of the Autonomous Province of Vojvodina has been performed. The modern economy needs contemporary models and methods to solve complicated MCDM problems and, for these purposes, it has been developed an original Interval Rough Number (IRN) Multi-criteria decision-making (MCDM) model that implies an extension of two methods belonging to the field with interval rough numbers. After forming a list of eight most significant criteria for assessing the efficiency of asphalt production plants, the Interval Rough Number PIvot Pairwise RElative Criteria Importance Assessment (IRN PIPRECIA) method was developed to determine the significance of the criteria. A total of 21 locations with asphalt mixture installation were considered. For that purpose, seven asphalt production plants were included, and for their ranking, the IRN EDAS (Evaluation based on Distance from Average Solution) method was created. The aim of this paper is to develop a novel interval rough model that can be useful for determining the efficiency of asphalt production plants. Averaging in group decision-making (GDM) for both methods was performed using an IRN Dombi weighted geometric averaging (IRNDWGA) aggregator. The obtained results show that (A15) Ruma (SP)–Mačvanska Mitrovica–Zasavica has the best characteristics out of the set of locations considered in this study. However, Alternatives A6 and A19 are also variants with remarkably good characteristics since there is very little difference in values compared to the first-ranked alternative. Also, the obtained results have shown that the developed model is applicable, which is proven through a comparative analysis.
Highlights
In today’s modern environment conditions in which we operate, transportation and logistics networks play a very important role in adequately achieving the sustainability of the economic system
After evaluating the alternatives according to the criteria, it is first necessary to transform the values of individual decision-makers’ responses in group decision-making
For the purposes of ranking and selection of asphalt production plants, an original Interval Rough Multi-criteria decision-making (MCDM) model has been developed. It has been formed a group decision-making model, which includes the evaluation of a total of 21 locations for road infrastructure maintenance by seven asphalt production plants in the area of Vojvodina on the basis of eight criteria
Summary
In today’s modern environment conditions in which we operate, transportation and logistics networks play a very important role in adequately achieving the sustainability of the economic system Their task is to enable the movement of all types of flows, fostering further development and searching for optimal solutions within the processes that are being implemented. On the one hand, we strive to rationalize costs and resources in asphalt production, and, on the other hand, extend the lifespan of the road as long as possible, it is necessary to evaluate the efficiency of asphalt production plants For this purpose, it is possible to apply various scientific methods that, according to Pasha et al [2], enable resource savings in road construction management. If we take into account that the asphalt plant is a complex system that has goals to produce a high quality hot asphalt mixture, the assessment of their efficiency is of greater importance
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