No abstract

ResumoPara elaboração de planos de lavra é necessário que se faça o correto dimensionando da capacidade produtiva dos equipamentos envolvidos nas atividades de perfuração, carregamento e transporte. Esse estudo aborda o dimensionamento da produtividade de transporte para planejamento de curto prazo através da utilização de informações oriundas do banco de dados sistema de despacho e distância média de transporte oriunda da confecção dos planos de curto prazo, tomando como base os avanços de lavra e destinação dos materiais. A fim de chegar em um indicador da produtividade de transporte mais fiel aos resultados que de fato são praticados, foram levados em considerações os dados históricos mais recentes, obtidos por meio de um sistema de despacho e controle dos equipamentos (Dispatch®)... O trabalho proposto foi aplicado na mesma operação onde os dados foram obtidos e obteve resultados satisfatórios, possibilitando o acompanhamento mais detalhado da execução do plano de curto prazo e demonstrou-se passível de ser aplicado, também, para o planejamento de longo prazo. Os dados utilizados são provenientes de uma mina em operação (Cu-Au) situado no norte do Brasil. Palavras-chave: Produtividade de transporte; Sistema de Despacho; Estimativa; Plano mensal. Abstract In order to prepare mining plans, it is necessary to do the correct dimensioning of the production capacity of the required equipment in the execution, loading and transportation activities. This study considers the considers the dimensioning of the transport production for short-term planning through the dispatch system and by using the mean transport distance, from the preparation of the short-term plans based on the material that intents to be mined and its destination. In order to provide a more accurate indicator of the transport production, it was taken into account the most recent historical data obtained through a dispatch and control system (Dispatch®). The proposed work was applied in the same operation where the data was obtained and satisfactory results, enabling the detailed monitoring of the execution of the short-term plan and demonstration of liabilities to be applied, also, for long-term planning. The date used is from a mine in operation (Cu-Au) located in the north of Brazil.

This article aims to evaluate the use of a truck factor for off-highway trucks in open pit mine operations, thus reducing error on material movement and mine production data entry. This method is current for a copper mine located in South East Pará, Brazil. With a dispatch system, the truck factor is calculated using three data inputs called measured t, dump t and excavator load time. This dispatch system, designed to upload real time data from each truck, acquires measured load information by a truck weightometer and provides the basis for long-term, medium-term and mainly shortterm planning. Due to the significant impacts toward mine planning, through data error, a payload truck factor system provides data assurances in place of potential failure of onboard weighing. However, when using a system that is reliant on actual data, caution must be applied when replacing information with assumed fixed figures, thus forming the discussion on which this article attempts to review by providing overview on both the positive and negative impacts of implementing a truck factor system to an open pit mining using a dispatch system.

Daily planning execution, which calls for several teams such as operation, drilling and support to be engaged, has been observed to be a rather time-consuming activity in order for production targets to be determined. On the other hand, most of large-size mine sites make use of equipment management systems capable of providing data to be treated and eventually made into information that may assist such planning efforts. However, such data are mostly scarcely known and used. This paper provides the estimation of mine performance indicators stemming from Dispatch system database that may come in handy for daily planning efforts (Line-Up type, applied to Sossego mine site, in Canaã dos Carajás, state of Pará, Brazil). Methodologically speaking, in order for proposed outcomes to be attained, Dispatch system database has been analyzed, Sossego mine site Line-Up has been described, operational context underlying both systems, Line-Up and Dispatch, has been analyzed, indicators have been estimated, and a Line-Up adherence calculation has been defined. The present paper indicates that, based on data gathering and systematization, information from Dispatch database can be made well known and used during daily scheduling efforts, thus allowing for such information to assist short-term plan management, daily scheduling performance timeframe to be cut down on, and Line-Up adherence assessment process to be faster and less subjective. Data used for this paper come from Sossego mine site dispatch system database (example of local application).