Technical-Economic Analysis of Grapple Saw: A Stochastic Approach

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.contributorSch Agr-
Autor(es): dc.creatorMiyajima, Ricardo Hideaki [UNESP]-
Autor(es): dc.creatorFenner, Paulo Torres-
Autor(es): dc.creatorBatistela, Gislaine Cristina [UNESP]-
Autor(es): dc.creatorSimoes, Danilo [UNESP]-
Data de aceite: dc.date.accessioned2022-02-22T00:56:33Z-
Data de disponibilização: dc.date.available2022-02-22T00:56:33Z-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2019-12-31-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/209443-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/209443-
Descrição: dc.descriptionThe processing of Eucalyptus logs is a stage that follows the full tree system in mechanized est harvesting, commonly performed by grapple saw. Therefore, this activity presents some associated uncertainties, especially regarding technical and silvicultural factors that can affect productivity and production costs. To get around this problem, Monte Carlo simulation can be applied, or rather a technique that allows to measure the probabilities of values from factors that are under conditions of uncertainties, to which probability distributions are attributed. The objective of this study was to apply the Monte Carlo method for determining the probabilistic technical-economical coefficients of log processing using two different grapple saw models. Field data were obtained from an area of forest planted with Eucalyptus, located in the State of Sao Paulo, Brazil. For the technical analysis, the time study protocol was applied by the method of continuous reading of the operational cycle elements, which resulted in production. As for the estimated cost of programmed hour, the applied methods were recommended by the Food and Agriculture Organization of the United Nations. The incorporation of the uncertainties was carried out by applying the Monte Carlo simulation method, by which 100,000 random values were generated. The results showed that the crane empty movement is the operational element that most impacts the total time for processing the logs; the variables that most influence the productivity are specific to each grapple saw model; the difference of USD 0.04 m(3) in production costs was observed between processors with gripping area of 0.58 m(2) and 0.85 m(2). The Monte Carlo method proved to be an applicable tool for mechanized wood harvesting for presenting a range of probability of occurrences for the operational elements and for the production cost.-
Descrição: dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)-
Descrição: dc.descriptionSao Paulo State Univ, UNESP, Campus Itapeva,St Geraldo Alckmin 519, Vila Nossa Sra De Fatima, Brazil-
Descrição: dc.descriptionSch Agr, Ave Univ 3780, Botucatu, Altos Do Parais, Brazil-
Descrição: dc.descriptionSao Paulo State Univ, UNESP, Campus Itapeva,St Geraldo Alckmin 519, Vila Nossa Sra De Fatima, Brazil-
Descrição: dc.descriptionCAPES: 001-
Formato: dc.format219-229-
Idioma: dc.languageen-
Publicador: dc.publisherZagreb Univ, Fac Forestry-
Relação: dc.relationCroatian Journal Of Forest Engineering-
???dc.source???: dc.sourceWeb of Science-
Palavras-chave: dc.subjectforest harvesting-
Palavras-chave: dc.subjectEucalyptus-
Palavras-chave: dc.subjectproduction costs-
Palavras-chave: dc.subjectMonte Carlo-
Palavras-chave: dc.subjectproductivity-
Título: dc.titleTechnical-Economic Analysis of Grapple Saw: A Stochastic Approach-
Tipo de arquivo: dc.typelivro digital-
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