Automatic load level follow-up of forwarders' fuel and time consumption

Manner, Jussi; Nordfjell, Tomas; Lindroos, Ola

doi:10.1080/14942119.2016.1231484

Cited by 21 publications

(19 citation statements)

References 18 publications

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“…Unfortunately, it would have been too expensive to hire 12 researchers for over 6 months, and the only alternative to investing operators with data collection would have been that of resorting to automatic data collection [53]. However, automatic data collection systems cannot collect all necessary data, and still need operator input, although much reduced [54,55].…”

Section: Discussionmentioning

confidence: 99%

A Robust Productivity Model for Grapple Yarding in Fast-Growing Tree Plantations

Engelbrecht¹,

McEwan

Spinelli

2017

Forests

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New techniques have recently appeared that can extend the advantages of grapple yarding to fast-growing plantations. The most promising technique consists of an excavator-base un-guyed yarder equipped with new radio-controlled grapple carriages, fed by another excavator stationed on the cut-over. This system is very productive, avoids in-stand traffic, and removes operators from positions of high risk. This paper presents the results of a long-term study conducted on 12 different teams equipped with the new technology, operating in the fast-growing black wattle (Acacia mangium Willd) plantations of Sarawak, Malaysia. Data were collected continuously for almost 8 months and represented 555 shifts, or over 55,000 cycles-each recorded individually. Production, utilization, and machine availability were estimated, respectively at: 63 m 3 per productive machine hour (excluding all delays), 63% and 93%. Regression analysis of experimental data yielded a strong productivity forecast model that was highly significant, accounted for 50% of the total variability in the dataset and was validated with a non-significant error estimated at less than 1%. The figures reported in this study are especially robust, because they were obtained from a long-term study that covered multiple teams and accumulated an exceptionally large number of observations.

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Section: Discussionmentioning

confidence: 99%

A Robust Productivity Model for Grapple Yarding in Fast-Growing Tree Plantations

Engelbrecht¹,

McEwan

Spinelli

2017

Forests

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“…Despite the prevalence of accurate fuel consumption gauges in modern harvesting equipment, accurate information about actual fuel use during harvesting is somewhat difficult to find (Athanassiadis et al, 1999). The use of on-board electronic control units or on-site delivery systems makes it possible to collect detailed fuel consumption data (Manner et al, 2016;Kenney et al, 2014). However, some comprehensive studies provide insight into total fuel consumption.…”

Section: Moving Towards Sfo: Improving Work Systems and Technologiesmentioning

confidence: 99%

Sustainable Forest Operations (SFO): A new paradigm in a changing world and climate

Marchi

Chung

Visser

et al. 2018

Science of The Total Environment

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170

110

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The effective implementation of sustainable forest management depends largely on carrying out forest operations in a sustainable manner. Climate change, as well as the increasing demand for forest products, requires a re-thinking of forest operations in terms of sustainability. In this context, it is important to understand the major driving factors for the future development of forest operations that promote economic, environmental and social well-being. The main objective of this paper is to identify important issues concerning forest operations and to propose a new paradigm towards sustainability in a changing climate, work and environmental conditions. Previously developed concepts of forest operations are reviewed, and a newly developed concept - Sustainable Forest Operations (SFO), is presented. Five key performance areas to ensure the sustainability of forest operations include: (i) environment; (ii) ergonomics; (iii) economics; (iv) quality optimization of products and production; and (v) people and society. Practical field examples are presented to demonstrate how these five interconnected principles are relevant to achieving sustainability, namely profit and wood quality maximization, ecological benefits, climate change mitigation, carbon sequestration, and forest workers' health and safety. The new concept of SFO provides integrated perspectives and approaches to effectively address ongoing and foreseeable challenges the global forest communities face, while balancing forest operations performance across economic, environmental and social sustainability. In this new concept, we emphasize the role of wood as a renewable and environmentally friendly material, and forest workers' safety and utilization efficiency and waste management as additional key elements of sustainability.

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“…Productivity models are useful to estimate how productivity is affected by timber removal, number of assortments, log size, density of strip roads and forwarding distance. Most recent approaches to this issue developed general productivity and time models through extensive follow-up data analysis or by time and movement studies of many forwarders working in thinnings and final cuttings (Nurminen et al 2006, Stankić et al 2012, Eriksson and Lindroos 2014, Manner et al 2016b. These have incorporated the effect of the number of logs carried, average log volume, and distance driving while loading, as predictors of the loading time and forwarding productivity, explaining up to 60% of the variability.…”

Section: Introductionmentioning

confidence: 99%

Time Consumption Analysis of Forwarder Activities in Thinning

Hildt

Leszczuk

Donagh

et al. 2019

Croat. j. for. eng. (Online)

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Forwarding can be divided into separate work elements. These are affected by several factors: forwarding distance, load volume, and types of assortments harvested. For a detailed planning of thinning, productivity models should include these factors. This study analysed the time consumption of forwarder thinning operations in five pine plantations in the north-east of Argentina, determining how the log size and log concentration affect each work element. Time-and-motion studies were carried out, recording the activities with digital video cameras, and tracking the forwarder movements with global navigation satellite system (GNSS) receivers. Different linear mixed models were fitted to estimate the time consumption of each work element in relation to different predictive factors. When driving on the road, the forwarders had an average speed of 71.6 m min-1 empty and 75.7 m min-1 loaded. When driving in the stand, the average speed was 56.9 m min-1 empty and 52.2 m min-1 loaded. These speeds did not correlate with the forwarder size or load volume. For the loading and unloading elements, the linear mixed model explained 56% and 49% of the variability considering only the fixed effect of the logs size and the load volume. For driving while loading, the total volume loaded, and the log concentration of the assortment loaded explained 50% of the time consumption variability, with 17% being explained by random effects. The general time and productivity model developed can be applied to support accurate decisions in the process of thinning planning.

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Automatic load level follow-up of forwarders' fuel and time consumption

Cited by 21 publications

References 18 publications

A Robust Productivity Model for Grapple Yarding in Fast-Growing Tree Plantations

A Robust Productivity Model for Grapple Yarding in Fast-Growing Tree Plantations

Sustainable Forest Operations (SFO): A new paradigm in a changing world and climate

Time Consumption Analysis of Forwarder Activities in Thinning

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