Luiz Ricardo Pinto
Universidade Federal de Minas Gerais
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Publication
Featured researches published by Luiz Ricardo Pinto.
winter simulation conference | 2010
Pedro Marinho Sizenando Silva; Luiz Ricardo Pinto
Several works published in the medical and operational research literature demonstrate the existence of a direct relationship between the response time of rescue units and the probability of the survival of victims involved in accidents. This work presents the development of a methodology integrating the discreteevent simulation techniques and optimization procedures for medical emergency system analysis. The main components of the methodology are presented in detail and used for the evaluation of the emergency medical system of the city of Belo Horizonte in Brazil.
Rem-revista Escola De Minas | 2001
Luiz Ricardo Pinto; Luiz Henrique de Campos Merschmann
This paper presents mathematical models to solve operational problems in open pit mining design such as ore blending and equipment assignment. The models determine the productivity of each working bench in one mine. They also consider the ore quality in order to make the blending, production goals, truck and shovel characteristics and availability, and support both static and dynamic allocation. The dynamic allocation model provides productivity and haulage equipment assignment. The static allocation model also provides the truck assignment.
Pesquisa Operacional | 2011
Gilberto de Miranda Júnior; Ricardo Saraiva de Camargo; Luiz Ricardo Pinto; Samuel Vieira Conceição; Ricardo Poley Martins Ferreira
In this work, a mixed integer nonlinear programming model combining direct service links, demand uncertainty and congestion effects is proposed. This model is efficiently solved by Generalized Benders Decomposition, for instances of moderate sizes and reasonable number of scenarios. The deployed algorithms are further used for re-designing the Brazilian air transportation network, enabling the analysis of future demand scenarios and providing decision support about the optimal investment policy for Brazil.
Rem-revista Escola De Minas | 2005
Felippe Pereira da Costa; Marcone Jamilson Freitas Souza; Luiz Ricardo Pinto
This paper develops a goal programming model applied to mining production planning. The objective is to determine the run of each working bench, considering the allocation of load and haulage equipment, in order to supply the processing plant with an appropriate feeding. As each working bench holds different characteristics of quality, the run must be accomplished in a proportional way, being limited by the production capacity of the load and haulage equipment available in the mine. The blending of ore from each working bench should generate a feeding considering quality and production goals according to the given specifications. In this paper the truck static allocation system was adopted for being generally used by small and medium mines, due to the simplification of the operations and at the high cost of implantation of a truck dispatching system. The mathematical programming model was implemented using the optimization software LINGO 7.0 in conjunction with EXCEL 2000 spreadsheet, providing a better interaction between the user and the application. The model was validated using a test instance from the literature, added with production and quality goals.
Rem-revista Escola De Minas | 2004
Augusto Nogueira Ramos Neto; Luiz Ricardo Pinto
This article describes a group of blocks of Template Mining 1.0, developed to be used with ARENA System. The objective is to improve modeling and simulation of open pit mining operations. The blocks represent the essential activities of open pit mining, like loading, unloading, loaded and unloaded haulage and equipment maintenance. The dynamic allocation system of trucks, nowadays used in the mining companies can also be represented. The Template has a friendly interface and it has been tested with real data. These tests have produced satisfactory results, which are similar to other simulation system.
PLOS ONE | 2018
João Flávio de Freitas Almeida; Samuel Vieira Conceição; Luiz Ricardo Pinto; Ricardo Saraiva de Camargo; Gilberto de Miranda Júnior
Multiechelon supply chains are complex logistics systems that require flexibility and coordination at a tactical level to cope with environmental uncertainties in an efficient and effective manner. To cope with these challenges, mathematical programming models are developed to evaluate supply chain flexibility. However, under uncertainty, supply chain models become complex and the scope of flexibility analysis is generally reduced. This paper presents a unified approach that can evaluate the flexibility of a four-echelon supply chain via a robust stochastic programming model. The model simultaneously considers the plans of multiple business divisions such as marketing, logistics, manufacturing, and procurement, whose goals are often conflicting. A numerical example with deterministic parameters is presented to introduce the analysis, and then, the model stochastic parameters are considered to evaluate flexibility. The results of the analysis on supply, manufacturing, and distribution flexibility are presented. Tradeoff analysis of demand variability and service levels is also carried out. The proposed approach facilitates the adoption of different management styles, thus improving supply chain resilience. The model can be extended to contexts pertaining to supply chain disruptions; for example, the model can be used to explore operation strategies when subtle events disrupt supply, manufacturing, or distribution.
winter simulation conference | 2014
Luiz Ricardo Pinto; Francisco Carlos Cardoso de Campos; Ignez Helena Oliva Perpétuo; Yara Cristina Neves Marques Barbosa Ribeiro
Eighty percent of Brazilian population is assisted by the public health system (SUS), while the rest uses private health insurance. The existing number of beds do not meet the entire demand and Brazilian government has made efforts to improve the system. The Health Ministry has analyzed a new proposal for planning the bed capacity. This proposal uses a queuing model and a new categorization of hospitalization and beds, taking into account specialties, age of the patients, and appropriate occupancy rates. In this paper, we use the proposed technique to estimate the required beds for Belo Horizonte, a mid-sized city in Brazil. We compare number of beds required by centralized and non-centralized administration. A simulation model was developed to analyze the dynamic behavior of the system and searching for the best configuration. This model was used to evaluate the results obtained by queuing model and to check its usability.
Rem-revista Escola De Minas | 2012
Lásara Fabrícia Rodrigues; Luiz Ricardo Pinto
In the present study a comparative analysis of the methodologies used to dispatch trucks in open pit mines has been carried out. There is a lack of studies comparing these methodologies in literature. Methodology based on linear and dynamic programming, as well as a heuristics-based methodology, have been implemented. These methodologies serve as the basis of algorithms used in some of the dispatch systems sold in Brazil. A simulation model was developed to reproduce the behavior of mining operations in order to evaluate the impact of dispatch decisions in each of the methodologies studied. Results show the performance of algorithms that have used these methodologies under different conditions in open pit mining. However, from results obtained in the present study, it is not possible, to state the superiority of any of them.
PLOS ONE | 2018
João Flávio de Freitas Almeida; Samuel Vieira Conceição; Luiz Ricardo Pinto; Ricardo Saraiva de Camargo; Gilberto de Miranda Júnior
[This corrects the article DOI: 10.1371/journal.pone.0194050.].
Production Journal | 2006
Eduardo Peixoto; Luiz Ricardo Pinto
O aumento da economia global, a concorrencia e a tecnologia exigem cada vez mais agilidade e flexibilidade das organizacoes. Na siderurgia isso nao e diferente, apesar de seus processos requererem grandes escalas e consequente elevacao dos tempos de lead time. A manutencao de estoques, nesse contexto, se torna imprescindivel. Este trabalho apresenta uma contribuicao para o processo de tomada de decisao para quantificacao de estoques em uma empresa de trefilacao de arames. Um modelo matematico foi elaborado para auxiliar as politicas de aquisicao e manutencao de estoques de cada item. A empresa forneceu informacoes chave para o modelo: vendas agregadas de produtos acabados; demanda historica de insumos; historico de suprimentos; desempenho de fornecedores e estrategia de compra para o periodo. Como o sistema envolve variaveis estocasticas, fez-se necessario a determinacao dos niveis de estoque de seguranca para evitar rupturas na producao e no fornecimento de produto aos clientes.
Collaboration
Dive into the Luiz Ricardo Pinto's collaboration.
Francisco Carlos Cardoso de Campos
Universidade Federal de Minas Gerais
View shared research outputsLuiz Henrique de Campos Merschmann
Federal University of Rio de Janeiro
View shared research outputs