Programação da produção em ambientes de manufatura aditiva: análise do estado-da-arte e proposta de método de resolução
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Universidade Federal de São Carlos
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Abstract
With the advancement of production technologies and materials, it is currently possible
to use Additive Manufacturing (AM), also known as 3D printing, for the large-scale
production of finished products, with numerous advantages, such as a high level of
customization, simplification of factory floor and fast delivery. Production sequencing,
known as Scheduling, is a well-established topic in his research area, but its application
within an AM environment faces specific issues that have yet to be explored by researchers.
The present study carries out a Systematic Literature Review (SLR) on the subject, in
order to identify the main mathematical models, algorithms adopted for their solution and
the main characteristics of the computational experiments carried out. The considered
environment was mathematically modeled and, subsequently, a constructive heuristic
solution multi-start based on the GRASP algorithm (Greedy Randomized Adaptive Search
Procedure) was implemented in order to solve this problem. From generated instances,
its performance was evaluated through computational experiments. The results showed
that the proposed heuristic managed to obtain good results in very little computational
time, in addition to achieving a low gap dispersion, indicating a high repeatability of the
implemented heuristic.
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DALL'AGNOL, Gabriela. Programação da produção em ambientes de manufatura aditiva: análise do estado-da-arte e proposta de método de resolução. 2023. Dissertação (Mestrado em Engenharia de Produção) – Universidade Federal de São Carlos, São Carlos, 2023. Disponível em: https://repositorio.ufscar.br/handle/20.500.14289/18419.
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Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Brazil
