Multi-product forwarder-based timber extraction : time consumption and productivity analysis of two forwarder models over multiple products and extraction distances

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dc.contributor.authorGagliardi, Kaylaen_ZA
dc.contributor.authorAckerman, Simonen_ZA
dc.contributor.authorAckerman, Pierreen_ZA
dc.date.accessioned2023-01-19T06:02:24Zen_ZA
dc.date.available2023-01-19T06:02:24Zen_ZA
dc.date.issued2020en_ZA
dc.descriptionCITATION: Gagliardi, K., Ackerman, S. & Ackerman, P. 2020. Multi-product forwarder-based timber extraction : time consumption and productivity analysis of two forwarder models over multiple products and extraction distances. Croatia Journal of Forest Engineering, 41(2):231–242, doi:10.5552/crojfe.2020.736.en_ZA
dc.descriptionThe original publication is available at https://crojfe.comen_ZA
dc.description.abstractAccurate predictions in forest operations can be used towards effective planning, costing, and maximizing the productivity of machines in mechanised cut-to-length (CTL) harvesting. There is a general and substantial gap in forwarder productivity data available for pine sawtimber in South Africa at present, and as the number of product assortments being harvested increase there is a need for more work to quantify the effects of extracting products of different dimensions. The aim of this study was to calculate the time consumption and productivity of two models of Ponsse forwarders (15 t and 20 t capacity) to consider and compare the effects of multiple variables including machine capabilities, product assortment, load size, extraction distance, and fuel consumption. Productivity averaged at 34.08 m3 per productive machine hour excluding delays longer than one minute (PMH1) for the smaller machine, and 55.94 m3 /PMH1 for the larger machine. Productivity and average log volume were strongly positively correlated. Regression models were created for each machine where load volume and extraction distance were both significant factors for predicting productivity. Average fuel consumption of the smaller machine was 15.55 l/PMH1 and 0.47 l/m3 , and 20.57 l/PMH1 and 0.43 l/m3 for the larger machine. The product with the largest volume was found to require the least fuel per m3 . The models developed could aid in predicting system productivity and potentially carbon emissions under similar conditions in a South African context of industrial plantation forestry.en_ZA
dc.description.sponsorshipTECH4EFFECTen_ZA
dc.format.extent12 pagesen_ZA
dc.identifier.citationGagliardi, K., Ackerman, S. & Ackerman, P. 2020. Multi-product forwarder-based timber extraction : time consumption and productivity analysis of two forwarder models over multiple products and extraction distances. Croatia Journal of Forest Engineering, 41(2):231–242, doi:10.5552/crojfe.2020.736.en_ZA
dc.identifier.issn1848-9672 (online)en_ZA
dc.identifier.otherdoi:10.5552/crojfe.2020.736en_ZA
dc.identifier.urihttp://hdl.handle.net/10019.1/126245en_ZA
dc.language.isoen_ZAen_ZA
dc.publisherUniversity of Zagreb, Faculty of Forestry and Wood Technologyen_ZA
dc.rights.holderAuthors retain copyrighten_ZA
dc.subjectLoggingen_ZA
dc.subjectHarvesting machineryen_ZA
dc.subjectForest productivityen_ZA
dc.subjectTimber -- Harvesting timeen_ZA
dc.subjectPinus patulaen_ZA
dc.titleMulti-product forwarder-based timber extraction : time consumption and productivity analysis of two forwarder models over multiple products and extraction distancesen_ZA
dc.typeArticleen_ZA
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