Learning Curves of Harvester Operators
Single grip harvesters may reach very high productivity levels but are very expensive forestry machines. Therefore, they have to work very efficiently. This paper will analyse the learning curves of harvester operators and the influence of human factors described in a qualitative and quantitative ma...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
University of Zagreb, Faculty of Forestry
2010-01-01
|
| Series: | Croatian Journal of Forest Engineering |
| Online Access: | https://hrcak.srce.hr/file/95556 |
| _version_ | 1819161412793008128 |
|---|---|
| author | Frank Thomas Purfürst |
| author_facet | Frank Thomas Purfürst |
| author_sort | Frank Thomas Purfürst |
| collection | DOAJ |
| description | Single grip harvesters may reach very high productivity levels but are very expensive forestry machines. Therefore, they have to work very efficiently. This paper will analyse the learning curves of harvester operators and the influence of human factors described in a qualitative and quantitative manner. Based on long term production logging files (Stan- ForD), the performance of 32 operators was collected over a period of three years (3,351 stands, 0.65 mil. m³). 16 of the operators were beginners and their learning curve was analysed and drawn as a sigmoid function. Most operators begin their career between 50% and 60% of the mean performance and double their performance (200%) by the end of the learning phase. The differences and variation in the learning curve between individual operators are large and generalisations are to be made with care. A learning curve phase productivity loss of 24% was calculated for the average 8 month duration, which equates to approximately 45000 Euro. |
| first_indexed | 2024-12-22T17:11:56Z |
| format | Article |
| id | doaj.art-a16b44fb2b2647ec8d36093392d0f06a |
| institution | Directory Open Access Journal |
| issn | 1845-5719 1848-9672 |
| language | English |
| last_indexed | 2024-12-22T17:11:56Z |
| publishDate | 2010-01-01 |
| publisher | University of Zagreb, Faculty of Forestry |
| record_format | Article |
| series | Croatian Journal of Forest Engineering |
| spelling | doaj.art-a16b44fb2b2647ec8d36093392d0f06a2022-12-21T18:19:03ZengUniversity of Zagreb, Faculty of ForestryCroatian Journal of Forest Engineering1845-57191848-96722010-01-01312899763720Learning Curves of Harvester OperatorsFrank Thomas Purfürst0Institute of Forest Utilization and Forest Engineering Technische Universität DresdenSingle grip harvesters may reach very high productivity levels but are very expensive forestry machines. Therefore, they have to work very efficiently. This paper will analyse the learning curves of harvester operators and the influence of human factors described in a qualitative and quantitative manner. Based on long term production logging files (Stan- ForD), the performance of 32 operators was collected over a period of three years (3,351 stands, 0.65 mil. m³). 16 of the operators were beginners and their learning curve was analysed and drawn as a sigmoid function. Most operators begin their career between 50% and 60% of the mean performance and double their performance (200%) by the end of the learning phase. The differences and variation in the learning curve between individual operators are large and generalisations are to be made with care. A learning curve phase productivity loss of 24% was calculated for the average 8 month duration, which equates to approximately 45000 Euro.https://hrcak.srce.hr/file/95556 |
| spellingShingle | Frank Thomas Purfürst Learning Curves of Harvester Operators Croatian Journal of Forest Engineering |
| title | Learning Curves of Harvester Operators |
| title_full | Learning Curves of Harvester Operators |
| title_fullStr | Learning Curves of Harvester Operators |
| title_full_unstemmed | Learning Curves of Harvester Operators |
| title_short | Learning Curves of Harvester Operators |
| title_sort | learning curves of harvester operators |
| url | https://hrcak.srce.hr/file/95556 |
| work_keys_str_mv | AT frankthomaspurfurst learningcurvesofharvesteroperators |