Name: Álvaro Daniel Oliveira Lopes
Type: MSc dissertation
Publication date: 16/07/2019

Namesort descending Role
Helder Roberto de Oliveira Rocha Advisor *
Jair Adriano Lima Silva Co-advisor *

Examining board:

Namesort descending Role
Edilson Fernandes de Arruda External Examiner *
Helder Roberto de Oliveira Rocha Advisor *
Jose Leandro Félix Salles External Examiner *
Maria Claudia Silva Boeres External Examiner *
Marta Monteiro da Costa Cruz External Examiner *

Summary: The present dissertation is based on the study of the supply chain of
for the Mining Industry 4.0 enabling the collection and analysis of data between
machines, enabling 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 number of existing or projected elements. To meet the
increase in mineral exports due to the growing demand for this product in the foreign market
it is essential that mining industries develop planning techniques by means of
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
to assist in the most efficient way of dealing with uncertainties. A natural extension of the use of models
is to evaluate various alternative scenarios in order to obtain the best possible results.
performance of the production system. Thus, the methodological orientation is based on a research approach,
bibliographic review of articles and dissertations in the scientific literature on production planning
industry. When establishing as a method the analysis, also reflective, we opted for a methodology
essentially quantitative and qualitative. A new deterministic and metaheuristic simulation algorithm \textit{VND} for the planning of the ore piles of a port proposed in this
dissertation, aiming to reduce the time of the ships in the cradles. This algorithm is based on the operations of
movement of minerals in the port terminal idealized taking into consideration the processes
with the interaction of large physical equipment and systems for the production of
information on handling, storage, retrieval and loading procedures for ships.
The objectives of this dissertation are: to model the port-pallet system according to the graph theory, to define
ship priorities for planning, generate an initial solution through the simulation algorithm
deterministic, and propose a meta-heuristic to improve the initial solution. Experiments
show the efficiency of the proposed algorithm.

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