Planejamento de Pátio-Porto na Indústria de Mineração 4.0 Através de Simulação e Metaheurística VND

Abstract

This dissertation is based on the study of the solid bulk supply chain for Mining Industries 4.0 enabling the collection and analysis of data between machines, allowing faster, more flexible and more efficient processes to produce products from high quality at reduced costs. The complexity of the processes involved in this chain varies mainly depending on the quantity of existing or projected elements. To meet the increase in ore exports due to the growing demand for this product in the foreign market It is essential that mining industries develop planning techniques through simulation and optimization. In addition to the economic benefits, simulation and optimization can also contribute to reducing environmental impacts, energy expenditures, violations of various regulations and help in the most efficient way to deal with uncertainties. A natural extension of using simulation and optimization models is to evaluate various alternative scenarios in order to obtain the best performance from the production system. Thus, the methodological guidance starts from a research approach, bibliographic review of articles and dissertations in the scientific literature on industry production planning. When establishing as a method the analysis, also reflexive, we opted for an essentially quantitative and qualitative methodology. A new deterministic simulation algorithm and VND metaheuristics for the planning of ore piles in a port proposed in this dissertation, aiming to decrease the time of ships in berths. This algorithm is based on the operations of ore movement in the port terminal designed taking into consideration the processes The production process is quite refined with the interaction of large physical equipment and information systems of the handling, storage, recovery and shipping processes for ships. The objectives of this dissertation are: to model the patio-port system according to the graph theory, to define ship priorities for planning, generate an initial solution using the simulation algorithm deterministic, and propose a meta-heuristic to improve the initial solution