Montana logging machine rates

Dodson, Elizabeth M.; Hayes, Steve; Meek, Joshua P; Keyes, Christopher R.

doi:10.1080/14942119.2015.1069497

Cited by 16 publications

(23 citation statements)

References 4 publications

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“…The large variation in maintenance and repair costs confirmed that this is the most unpredictable cost component (c. f. Brinker et al 2002;Dodson et al 2015). That is because operating conditions, operator skills, repair and maintenance strategies, and machine qualities influence this cost (Werblow & Cubbage 1986).…”

Section: Discussionmentioning

confidence: 67%

“…They were compared by using the average exchange rates during that period. Technological advances, for example in machine design, could have occurred between 2007 to 2014, which could have improved performances as well as costs and increased purchase prices (Nordfjell et al 2010;Dodson et al 2015). However, in an observation period shorter than 10 years these changes are expected to be relatively limited.…”

Section: Discussionmentioning

confidence: 99%

“…Specific operational conditions could influence cost factors such as machine utilization and maintenance factors (Brinker et al 2002;Dodson et al 2015). In this study, we tried to gather additional information about work conditions (such as differentiating natural forests and industrial plantations).…”

Section: Discussionmentioning

confidence: 99%

“…Other local factors such as the weather conditions, type of business and contract arrangements could also impact annual work time (cf. Dodson et al 2015).…”

Section: Discussionmentioning

confidence: 99%

“…A series of benchmarking studies on factors influencing the contract rates for forest operations in different regions have been recently completed through long-term monitoring (Holzleitner et al 2011). Also interviews with forest contractors (Baker et al 2013;Abbas et al 2014;Dodson et al 2015;Spinelli et al 2015) and analyses of web databases (Spinelli et al 2011;Malinen et al 2016) have been conducted. These studies point out that benchmarking of cost rates is extremely challenging, due to the difficulties in harmonizing the technical terminology and collecting information on comparable technologies.…”

Section: Introductionmentioning

confidence: 99%

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Benchmarking technical and cost factors in forest felling and processing operations in different global regions during the period 2013–2014

Fulvio

Abbas

Spinelli

et al. 2017

International Journal of Forest Engineering

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In a global bioeconomy, benchmarking costs is essential in the evaluation of current forest harvesting systems and addressing decisions on the most efficient supply chains for available forest resources. Benchmarking cost rates in forestry is challenging, due to a lack of harmonized terminology and difficulties in collecting information on comparable forest technologies. This study provides a firsttime series of cost factors to be used when modeling and evaluating the cost competitiveness of forest felling and processing operations on a global scale. It is based on an expert survey using a standardized method of data collection. This benchmarking identifies and updates the knowledge of technical and socio-economic factors capable of influencing the cost rates of forest felling and processing operations across different regions. This study is expected to act as a reference for larger investigations, and for regular updates, with the aim to provide current data that can be used by forest practitioners and decision makers for improving their cost efficiency and for designing future supply systems more effectively. ARTICLE HISTORY

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Section: Discussionmentioning

confidence: 67%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

“…Other local factors such as the weather conditions, type of business and contract arrangements could also impact annual work time (cf. Dodson et al 2015).…”

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Benchmarking technical and cost factors in forest felling and processing operations in different global regions during the period 2013–2014

Fulvio

Abbas

Spinelli

et al. 2017

International Journal of Forest Engineering

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Economic analysis of forest residues supply chain options to produce enhanced‐quality feedstocks

Sahoo

Bilek

Bergman

et al. 2018

Biofuels Bioprod Bioref

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Woody biomass feedstock that is both high quality and low cost has become increasingly important for the bioenergy and bioproducts industries. Logging generates forest residues – low‐quality feedstock – and additional operations that also incur additional costs, such as biomass sorting and treetops processing (BSTP), micro‐chipping, and screening, which are required to improve the feedstock's quality. Considering recent developments in technologies and BSTP to generate high‐quality feedstocks, economic models were developed in this study to estimate various forest‐residue logistics operational costs and to analyze the economics of delivering feedstocks to biomass conversion technology (BCT) sites near woods or power plants located far away in the form of chips, hog fuel, and bales. The results show that the cost of BSTP can vary between $30 and $82/ODMT (oven dry metric ton) based on the biomass sorting intensity. The most economical way to deliver forest residues was transporting processed stem‐wood from landings to near‐wood BCT sites and comminuting it into woodchips there (~$20/ODMT, assuming a one‐way (32 km) road distance and no cost of BSTP at landings). Grinding slash at the landing and transporting ground‐biomass (i.e., hog fuel) to a plant (< 22 km away) was more economical than transporting bales from landings and grinding at the plant. The economic feasibility of baling and BSTP requires a substantial productivity improvement or recognition and incorporation of benefits including reduced wildfire risk and improved forest health. High bulk density and strong shape of forest residues/slash bales compared to hog fuel may provide additional cost benefits during storage, for example through lower handling costs, which can be studied in the future. © 2018 Society of Chemical Industry and John Wiley & Sons, Ltd

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Economic feasibility of forest biomass feedstock supply chains: clean and dirty chips for bioenergy applications

Brown

Quinn

et al. 2021

Biofuels Bioprod Bioref

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There is a lack of economic feasibility analyses on the harvesting of forest biomass to supply low-carbon bioenergy feedstocks using actual data on the mixed product harvest in the hardwood region of the northeast USA. This study is a techno-economic analysis of three different scenarios (clean chips, dirty chips, or pulpwood) based on data collected from wholetree harvesting systems over 6 years. Each scenario had two different cases: one with costs and revenues allocated by mass (allocated system), and the other without allocation (whole system). The six cases of three scenarios tested resulted in a wide range of positive net present values (NPVs) from $1 713 000 to $819 in US dollars. Clean chip production generated substantial NPVs and dirty chips generated marginal NPVs. The minimum selling prices (MSPs) of clean chips from two cases were similar, $45.92 and $45.55 per green metric ton (Mg), with maximum hauling distances (MHDs) of 247 and 250 km (km). The MSPs for dirty chips from four cases ranged from $34.38 to $37.47 per Mg with the range of MHDs from 184 to 351 km. MSP and sensitivity analyses suggest that the selling prices and harvesting production levels of clean chips and dirty chips, and purchase prices of forestry logging equipment are the key factors that most influence the profitability of the regional forest biomass feedstock supply chain.

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Montana logging machine rates

Cited by 16 publications

References 4 publications

Benchmarking technical and cost factors in forest felling and processing operations in different global regions during the period 2013–2014

Benchmarking technical and cost factors in forest felling and processing operations in different global regions during the period 2013–2014

Economic analysis of forest residues supply chain options to produce enhanced‐quality feedstocks

Economic feasibility of forest biomass feedstock supply chains: clean and dirty chips for bioenergy applications

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