![]() ![]() ![]() Both aspects are particularly relevant to transport, which largely contributes to the economic development of societies, but is also responsible for negative impacts on the climate, the environment, and human health. However, they also entail some negative problems. Various types of costs should also be taken into account, as both commercial and service activities are a key element of sustainable development due to their contribution to the productivity of natural and human resources although they also generate many positive benefits for the market, society, economy, and the environment. It was found that the most convenient area is shifted to the south of the voivodship and improperly adopted storage location can increase transport costs by up to 75%. It was stated that the increase in transport costs does not exceed 10% of lowest cost for 17.6% area of studied area. ![]() The constructed map allows for a better analysis of cost increases than a single point. Using spatial interpolation and geoprocessing tools, a map-showing the increase in pellet transport costs in relation to the most optimal solution-was developed. Additionally, a relative increase in costs was estimated in the case of selecting other locations. Average cost of travel for all trees obtained for existing plant locations and subsequent distribution to points of sale was 4113.7 (km), while standard deviation 735.2 (km). The new storage point is suggested near the town of Piaski. Based on the estimated transport assumptions, the lowest total cost of transport from all 18 plants was 3092.0 (km), which corresponds to an average distance to production plants of 89.7 km and 61.7 km to estimated selling distribution. The most advantageous storage location of pellets was identified by the calculation the total transport cost using a minimum-cost tree of shortest paths. The construction of the graph with the shortest paths was made on the basis of the existing network of available transport roads, and the nodes of the graph were their intersections. The most optimal location for the new pellet storage site has been determined, for which the total length of the traveled routes is the shortest, taking into account the actual shares of individual plants in the total production. Dijkstra’s algorithm is used in issues connected with finding a new storage place with a view of the optimisation of the transport costs of pellets produced by a company in 18 different towns in the Lubelskie Voivodeship in Poland. This paper deals with the problem of managing the surplus that arises during the seasonal production of pellets, which will be sold in the period of increased demand. ![]()
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