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Featured researches published by Mohammad Reza Ghaffariyan.


International Journal of Forest Engineering | 2009

Production Equations for Tower Yarders in Austria

Mohammad Reza Ghaffariyan; Karl Stampfer; John Sessions

Abstract Cable yarding has been used for many years in mountainous forests in central European countries. Tower yarders are common cable yarding systems in Austria. The goal of this study was to develop a general time prediction model for two kinds of tower yarders used in Austria. The multiple regression method was applied. The average production rate was 9.30 m3/PSH0 with a cost of US


Southern Forests | 2013

A model to predict productivity of different chipping operations

Mohammad Reza Ghaffariyan; Raffaele Spinelli; Mark Brown

25.48/m3. The results also showed that the production rate for downhill yarding was less than uphill yarding using the Syncrofalke tower yarder. The developed time production models can help forest engineers estimate production of tower yarders in similar logging operations.


Southern Forests | 2015

Integrated harvesting for conventional log and energy wood assortments: a case study in a pine plantation in Western Australia

Mohammad Reza Ghaffariyan; Raffaele Spinelli; Natascia Magagnotti; Mark Brown

The chipping operation is an important component of harvesting systems producing biomass and pulp chips. This paper aimed to develop a valid model to predict the productivity of chipping as part of these operations. Over a number of years more than 200 different time studies were conducted on chipping operations in Italy and Australia. Multiple regressions and backward stepwise data analysis methods were applied to develop a productivity prediction equation, considering the following variables: machine power (kW), piece size (m3), crew size, harvesting method, species, tree part, wood condition, wood lay-out, chipping type, propulsion, feeding method, point of chipping, season, location of chip discharge, country (Italy or Australia) and type of operation (biomass chip operation or pulp chip operation). The final productivity model included machine power, average piece size, location of chip discharge and type of operation as significant variables. The internal validation test was conducted using five witness samples from Italy and Australia, which confirmed the validity at α=0.05. Additional international case studies from North America, South America, and central and northern Europe were used to test the accuracy of the model, in which 15 studies confirmed the models validity and two failed to pass the test.


Australian Forestry | 2016

Quantitative and qualitative assessment of timber harvesting residues: a case study of a balsa plantation in Papua New Guinea

Mohammad Reza Ghaffariyan; Braden Jenkin; Rick Mitchell; Mark Brown

Biomass or energy wood harvesting can be integrated with conventional log harvesting (saw log or pulpwood production) to allow more cost-effective energy wood supply. The efficiency of an integrated energy wood harvesting system was evaluated and compared with conventional log harvesting in a 32-year-old Pinus radiata plantation (radiata pine) located in south-west Western Australia. The harvesting system consisted of a harvester and a forwarder. The study included two treatments: a conventional log-harvesting operation where merchantable sawlogs and pulp logs were produced at the stump by the harvester and extracted by the forwarder; and an integrated energy wood operation where the harvester produced sawlogs, pulp logs and energy wood at the stump that were extracted by the forwarder. In the integrated energy wood harvesting plot, 37 m3 ha−1 of energy wood was extracted in addition to the sawlog and pulp log volumes. Extracting the additional energy wood reduced the productivity of the forwarder and increased the cost of extraction (AU


Biomass & Bioenergy | 2013

Analysing the effect of five operational factors on forest residue supply chain costs: a case study in Western Australia.

Mohammad Reza Ghaffariyan; Mark Brown

2.7 m−3) compared with the control plot (AU


Biomass & Bioenergy | 2012

Optimising transport efficiency and costs in Australian wood chipping operations

Luke Mirowski; Mohammad Reza Ghaffariyan; Mark Brown

2.2 m−3). Harvesting system cost was not significantly impacted, with a cost of AU


European Journal of Forest Research | 2010

Optimal road spacing of cable yarding using a tower yarder in Southern Austria

Mohammad Reza Ghaffariyan; Karl Stampfer; John Sessions

3.18 m−3 in the control plot and AU


Renewable & Sustainable Energy Reviews | 2017

An international review of the most productive and cost effective forest biomass recovery technologies and supply chains

Mohammad Reza Ghaffariyan; Mark Brown; John Sessions; Tom Gallagher; Martin Kühmaier; Raffaele Spinelli; Rien Visser; Ger Devlin; Lars Eliasson; Juha Laitila; Ruben Laina; Maria Iwarsson Wide; Gustaf Egnell

3.23 m−3 in the integrated energy wood harvesting plot. Diameter at breast height (DBH) was a significant factor influencing the working time of the harvester, whereas load volume, extraction distance and extraction type (sawlog, pulp logs, and pulp log/energy wood) significantly impacted forwarding time. Increasing DBH resulted in longer working cycles for the harvester. Heavier loads and longer forwarding distances increased forwarding cycle time, while extracting sawlogs was least expensive and energy wood extraction was the most expensive. The marginal cost of the energy wood was approximately AU


Journal of forest science | 2018

Road network optimization using heuristic and linear programming.

Mohammad Reza Ghaffariyan; Karl Stampfer; John Sessions; T. Durston; M. Kuehmaier; Christian Kanzian

10.2 m−3 (AU


Journal of forest science | 2018

Evaluating productivity, cost, chip quality and biomass recovery for a mobile chipper in Australian roadside chipping operations

Mohammad Reza Ghaffariyan; John Sessions; Mark Brown

7.0 extraction and AU

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Mark Brown

University of the Sunshine Coast

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Rien Visser

University of Canterbury

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Ger Devlin

University College Dublin

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Gustaf Egnell

Swedish University of Agricultural Sciences

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Juha Laitila

Finnish Forest Research Institute

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Ruben Laina

Complutense University of Madrid

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