Predicting productivity of timber loading operations: a literature review

Loading is considered a bottleneck of the forest harvesting system as it acts as a connection between primary transport and secondary transport (from roadside/ landing to mills or central yards). Any delay during the loading component can cause delay in the primary wood extraction and/ or secondary...

Full description

Bibliographic Details
Main Author: Mohammad Reza Ghaffariyan
Format: Article
Language:English
Published: Pensoft Publishers 2021-10-01
Series:Silva Balcanica
Subjects:
Online Access:https://silvabalcanica.pensoft.net/article/69240/download/pdf/
_version_ 1811251770521812992
author Mohammad Reza Ghaffariyan
author_facet Mohammad Reza Ghaffariyan
author_sort Mohammad Reza Ghaffariyan
collection DOAJ
description Loading is considered a bottleneck of the forest harvesting system as it acts as a connection between primary transport and secondary transport (from roadside/ landing to mills or central yards). Any delay during the loading component can cause delay in the primary wood extraction and/ or secondary transportation. This article reviewed the current knowledge on loading productivity studies. Based on the results, the main variables impacting the loading productivity include log size, log lengths, load volume per truck, number of logs (or pieces) per truck and number of safety straps. The productivity of loading operations ranged from 3.4 m3/PMH0 in a manual loading to 168.9 m3/PMH0 using mechanised loaders. The results of this review can assist the academic and industrial users for predicting, controlling and managing the productivity of loading operations. 
first_indexed 2024-04-12T16:25:19Z
format Article
id doaj.art-11de5ad2d295421eb6190379258af26b
institution Directory Open Access Journal
issn 1311-8706
language English
last_indexed 2024-04-12T16:25:19Z
publishDate 2021-10-01
publisher Pensoft Publishers
record_format Article
series Silva Balcanica
spelling doaj.art-11de5ad2d295421eb6190379258af26b2022-12-22T03:25:24ZengPensoft PublishersSilva Balcanica1311-87062021-10-01222819010.3897/silvabalcanica.22.e6924069240Predicting productivity of timber loading operations: a literature reviewMohammad Reza Ghaffariyan0University of the Sunshine CoastLoading is considered a bottleneck of the forest harvesting system as it acts as a connection between primary transport and secondary transport (from roadside/ landing to mills or central yards). Any delay during the loading component can cause delay in the primary wood extraction and/ or secondary transportation. This article reviewed the current knowledge on loading productivity studies. Based on the results, the main variables impacting the loading productivity include log size, log lengths, load volume per truck, number of logs (or pieces) per truck and number of safety straps. The productivity of loading operations ranged from 3.4 m3/PMH0 in a manual loading to 168.9 m3/PMH0 using mechanised loaders. The results of this review can assist the academic and industrial users for predicting, controlling and managing the productivity of loading operations. https://silvabalcanica.pensoft.net/article/69240/download/pdf/HarvestingProductivityTimeLoadingLog volum
spellingShingle Mohammad Reza Ghaffariyan
Predicting productivity of timber loading operations: a literature review
Silva Balcanica
Harvesting
Productivity
Time
Loading
Log volum
title Predicting productivity of timber loading operations: a literature review
title_full Predicting productivity of timber loading operations: a literature review
title_fullStr Predicting productivity of timber loading operations: a literature review
title_full_unstemmed Predicting productivity of timber loading operations: a literature review
title_short Predicting productivity of timber loading operations: a literature review
title_sort predicting productivity of timber loading operations a literature review
topic Harvesting
Productivity
Time
Loading
Log volum
url https://silvabalcanica.pensoft.net/article/69240/download/pdf/
work_keys_str_mv AT mohammadrezaghaffariyan predictingproductivityoftimberloadingoperationsaliteraturereview