Route planning of raw materials transportation in the industrial hub of Mariupol city

The multi-modal freight transportation routes planning problem is viewed in this paper. The case study of iron ore deliveries to the metallurgical enterprises of Mariupol from Kryvyi Rih is presented. Based on the analysis of Ukrainian railroads and sea ports infrastructures six possible routes of multi-modal iron ore transportation are built. The paper presents a short review of route planning problem in multi-modal freight transportations, which are use sea and land parts together, regarding decision support methods of routes evaluation and selection. The lack of studies dedicated to fuzzy logic theory application for solving the stated problems is identified. The relevance of fuzzy set application to the route planning problem is proved. Taking into account the peculiarities of iron ore transportations technology, the following criterions of routes evaluation are chosen: «transportation costs», «delivery times», «transportation risks». The model of multicriterion decision-making of routes evaluation and the optimal route selection, based on fuzzy logic theory, is developed. Criteria of routes evaluation are set by three terms Gaussian and sigmoidal membership functions. The approach to each function construction is practice-based and executed together with iron ore supply chain manager. The model is created in MATLAB Fuzzy Logic Tool Box environment using Mamdani's fuzzy inference