Automatic Time Study Method for Recording Work Phase Times of Timber Harvesting

Palander, Teijo; Nuutinen, Yrjö; Kariniemi, Arto; Väätäinen, Kari

doi:10.5849/forsci.12-009

Cited by 37 publications

(34 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the time and motion study, the work cycle (i.e., all the work elements for processing one stem or one tree section (damage type 1D)) distribution was based on the work cycle distribution used in the time and motion studies by Nuutinen et al [58] and Palander et al [59], to which additional work elements relevant to cutting windfalls were added. The work elements are shown in Table A1.…”

mentioning

confidence: 99%

Evaluation of Salvage Logging Productivity and Costs in Windthrown Norway Spruce-Dominated Forests

Kärhä

Anttonen

Poikela

et al. 2018

Forests

Self Cite

View full text Add to dashboard Cite

Different abiotic and biotic disturbances are expected to become more common in the future due to a warming climate. Globally, post-disturbance salvage logging is becoming more predominant to recover economic value from timber in disturbed forests. This study collected comparative time-study data and analyzed the productivity of cutting for windfalls in clear cuttings and determined the cutting costs of windfalls. Furthermore, the logging (i.e., cutting and forwarding) costs of wind-damaged trees and those of undamaged standing Norway spruce (Picea abies (L.) Karst.) trees in clear cuts were calculated in Finland. The results revealed that the cutting productivity of windfalls was 19-33% lower than that of undamaged stems. The cutting costs of windthrown stems with a volume of 0.3-1.5 m 3 were 35-64% higher and the logging costs of windfalls were 10-30% higher than those of undamaged standing stems. The study provided new understanding regarding the productivity and costs of salvage logging operations under Finnish conditions. Even if the logging of windfalls is expensive and laborious, salvage logging operations are important for forest stands and their health to minimize post-disaster damage outbreaks in coniferous forests, such as the damage caused by bark beetles-mainly Ips typographus L.

show abstract

mentioning

confidence: 99%

Evaluation of Salvage Logging Productivity and Costs in Windthrown Norway Spruce-Dominated Forests

Kärhä

Anttonen

Poikela

et al. 2018

Forests

Self Cite

View full text Add to dashboard Cite

show abstract

“…This is due to the inherent accuracy of GNSS. For example, GNSS accuracy of ±1 m will have a greater impact on accurately capturing movements when the overall distance traveled 5 m as opposed to 15 m or 20 m. One possible solution to help account for this error when the swing arc is smaller is to incorporate additional sensors and mechanisms to capture grapple and other intricate movements to assist in defining elements [8]. These would augment GNSS data in ways that get around constraints related to GNSS accuracy.…”

Section: Discussionmentioning

confidence: 99%

“…The on-board data loggers that are standard equipment in many modern forest machines record several types of data that may be useful for real-time analysis of production, such as log piece size and numbers of stems processed [8,9]. The addition of discrete equipment position, navigation, and timing (PNT) information to the standard data stream would make it possible for operators to account for and adapt to unforeseen delays in machine cycles or site conditions.…”

Section: Introductionmentioning

confidence: 99%

“…Experienced operators do this naturally over short time steps on the fly, but computer-aided analysis can help expose patterns in operation that are not always apparent, even to the most experienced personnel. Utilization of real-time position data for individual pieces of equipment and among multiple pieces of equipment in a system could make it possible for higher resolution and higher order complexity operational models that monitor individual equipment cycle elements and suggest efficiency improvements based on variables like terrain, timber quality, and other site characteristics [8,9].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Use of Real‐Time GNSS‐RF Data to Characterize the Swing Movements of Forestry Equipment

Becker

Keefe

Anderson

2017

Forests

View full text Add to dashboard Cite

Abstract:The western United States faces significant forest management challenges after severe bark beetle infestations have led to substantial mortality. Minimizing costs is vital for increasing the feasibility of management operations in affected forests. Multi-transmitter Global Navigation Satellite System (GNSS)-radio frequencies (RF) technology has applications in the quantification and analysis of harvest system production efficiency and provision of real-time operational machine position, navigation, and timing. The aim of this study was to determine the accuracy with which multi-transmitter GNSS-RF captures the swinging and forwarding motions of ground based harvesting machines at varying transmission intervals. Assessing the accuracy of GNSS in capturing intricate machine movements is a first step toward development of a real-time production model to assist timber harvesting of beetle-killed lodgepole pine stands. In a complete randomized block experiment with four replicates, a log loader rotated to 18 predetermined angles with GNSS-RF transponders collecting and sending data at two points along the machine boom (grapple and heel rack) and at three transmission intervals (2.5, 5.0 and 10.0 s). The 2.5 and 5.0 s intervals correctly identified 94% and 92% of cycles at the grapple and 92% and 89% of cycles at the heel, respectively. The 2.5 s interval successfully classified over 90% of individual cycle elements, while the 5.0 s interval returned statistically similar results. Predicted swing angles obtained the highest level of similarity to observed angles at the 2.5 s interval. Our results show that GNSS-RF is useful for real-time, model-based analysis of forest operations, including woody biomass production logistics.

show abstract

“…We used a general work cycle model of cutting that also facilitated the use of automatically recorded data [28]. The data were used in the cost calculation of the stand-selection system.…”

Section: Harvester's Profitability Data In Operational Planningmentioning

confidence: 99%

Adaptive Procurement Guidelines for Automatic Selection of Renewable Forest Energy Sources within a Sustainable Energy Production System

Palander

Kärhä

2016

Energies

Self Cite

View full text Add to dashboard Cite

An automatic forest-stand selection method was developed that integrates the procurement of profitable energy sources within a sustainable energy production system. We tested the method using a forest harvester simulator. We found that site-specific estimates of forest characteristics are important when predicting the potential of an energy-wood stand as a renewable energy source. Further, tree parameters can be combined with automatic stem measurements from a multiple-tree harvester to predict the energy-wood biomass in the stands. The selection process uses data from profitability studies. The selection process also uses environmental criteria to ensure that sufficient soil organic matter is left behind and to protect the soil against erosion. The integrated system of the harvester automatically adapts the system's models and stand-selection rules to account for various site-specific stand parameters. Predicting the profitable and environmentally acceptable yield of stand biomass has great potential in sustainable forest resource management, but managers must decide whether the operational procurement guidelines provided by the stand-selection method is acceptable under their local real-world wood procurement conditions.

show abstract

Automatic Time Study Method for Recording Work Phase Times of Timber Harvesting

Cited by 37 publications

References 17 publications

Evaluation of Salvage Logging Productivity and Costs in Windthrown Norway Spruce-Dominated Forests

Evaluation of Salvage Logging Productivity and Costs in Windthrown Norway Spruce-Dominated Forests

Use of Real‐Time GNSS‐RF Data to Characterize the Swing Movements of Forestry Equipment

Adaptive Procurement Guidelines for Automatic Selection of Renewable Forest Energy Sources within a Sustainable Energy Production System

Contact Info

Product

Resources

About