Skip to main content

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

Buy Article:

$21.50 plus tax (Refund Policy)

The objective of the present study was to develop an automatic time study method based on a process-data model for single-grip harvesters, with inputs based on data automatically collected by the harvester's onboard computer. The method integrates the phases of the work cycle into components under conditions in which the work phases may overlap to varying degrees. During the work phase analysis, we found that process-data models differed under similar work conditions because work phases could not be completely separated during the automatic recording of data. We therefore used the combined data provided by manual and automatic timing to develop a new process-data model for a single-grip harvester's work. We also analyzed the overlapping and simultaneous work phases to optimize the improved process-data model. The results were satisfactory, and the method can be systematically used in time studies based on automatically recorded data by modifying the process-data model using the approach described in this article. Adjustment of the model to improve data-recording accuracy compared with manual time studies has great potential, but this must be confirmed through additional harvesting experiments during work studies with different machines and in different forests.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Data/Media
No Metrics

Keywords: data management system; process data; single-grip harvester; time and motion studies

Document Type: Research Article

Publication date: 2013-08-21

More about this publication?
  • Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2016 Impact Factor: 1.782 (Rank 17/64 in forestry)

    Average time from submission to first decision: 62.5 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
  • Submit a Paper
  • Membership Information
  • Author Guidelines
  • Podcasts
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more