Time expenditure in computer aided time studies implemented for highly mechanized forest equipment

Authors

  • Elena Camelia Mușat Transilvania University of Braşov, Faculty of Silviculture and Forest Engineering, Department of Forest Engineering, Forest Management Planning and Terrestrial Measurements, Şirul Beethoven, no. 1, 500123, Braşov
  • Andrei Ioan Apăfăian Transilvania University of Braşov, Faculty of Silviculture and Forest Engineering, Department of Forest Engineering, Forest Management Planning and Terrestrial Measurements, Şirul Beethoven, no. 1, 500123, Braşov
  • Gheorghe Ignea Transilvania University of Braşov, Faculty of Silviculture and Forest Engineering, Department of Forest Engineering, Forest Management Planning and Terrestrial Measurements, Şirul Beethoven, no. 1, 500123, Braşov
  • Valentina Doina Ciobanu Transilvania University of Braşov, Faculty of Silviculture and Forest Engineering, Department of Forest Engineering, Forest Management Planning and Terrestrial Measurements, Şirul Beethoven, no. 1, 500123, Braşov
  • Eugen Iordache Transilvania University of Braşov, Faculty of Silviculture and Forest Engineering, Department of Forest Engineering, Forest Management Planning and Terrestrial Measurements, Şirul Beethoven, no. 1, 500123, Braşov
  • Rudolf Alexandru Derczeni Transilvania University of Braşov, Faculty of Silviculture and Forest Engineering, Department of Forest Engineering, Forest Management Planning and Terrestrial Measurements, Şirul Beethoven, no. 1, 500123, Braşov
  • Gheorghe Spârchez Transilvania University of Braşov, Faculty of Silviculture and Forest Engineering, Department of Silviculture, Şirul Beethoven, no. 1, 500123, Braşov
  • Maria Magdalena Vasilescu Transilvania University of Braşov, Faculty of Silviculture and Forest Engineering, Department of Forest Engineering, Forest Management Planning and Terrestrial Measurements, Şirul Beethoven, no. 1, 500123, Braşov
  • Stelian Alexandru Borz Transilvania University of Braşov, Faculty of Silviculture and Forest Engineering, Department of Forest Engineering, Forest Management Planning and Terrestrial Measurements, Şirul Beethoven, no. 1, 500123, Braşov

DOI:

https://doi.org/10.15287/afr.2015.473

Keywords:

AviX, purpose-designed industrial time studying software, dependence, analyzing and processing time, complexity, computer-aided time studies

Abstract

Time studies represent important tools that are used in forest operations research to produce empirical models or to comparatively assess the performance of two or more operational alternatives with the general aim to predict the performance of operational behavior, choose the most adequate equipment or eliminate the useless time. There is a long tradition in collecting the needed data in a traditional fashion, but this approach has its limitations, and it is likely that in the future the use of professional software would be extended is such preoccupations as this kind of tools have been already implemented. However, little to no information is available in what concerns the performance of data analyzing tasks when using purpose-built professional time studying software in such research preoccupations, while the resources needed to conduct time studies, including here the time may be quite intensive. Our study aimed to model the relations between the variation of time needed to analyze the video-recorded time study data and the variation of some measured independent variables for a complex organization of a work cycle. The results of our study indicate that the number of work elements which were separated within a work cycle as well as the delay-free cycle time and the software functionalities that were used during data analysis, significantly affected the time expenditure needed to analyze the data (α=0.01, p<0.01). Under the conditions of this study, where the average duration of a work cycle was of about 48 seconds and the number of separated work elements was of about 14, the speed that was usedto replay the video files significantly affected the mean time expenditure which averaged about 273 seconds for half of the real speed and about 192 seconds for an analyzing speed that equaled the real speed. We argue that different study designs as well as the parameters used within the software are likely to produce different results, a fact that should trigger other studies based on variations of these parameters. However, the results of this study give an initial overview on the time resources needed in processing and analyzing the data, and may help researchers in allocating their resources.

References

Acuna M., Skinnel J., Evanson T., Mitchell R., 2011. Bunching with a self-levelling feller-buncher on steep terrain for efficient yarder extraction. Croatian Journal of Forest Engineering 32(2): 521-531.

Alam M., Acuna M., Brown M., 2013. Self-levelling feller-buncher productivity based on Lidar-derived slope. Croatian Journal of Forest Engineering 34(2): 273-281.

Andersson J., Eliasson L., 2004. Effects of tree harvesting work methods on harwarder productivity in final felling. Silva Fennica 38(2): 195-202. DOI: 10.14214/sf.428

Belbo H. 2010. Comparison of two working methods for small tree harvesting with a multi tree felling head mounted on a farm tractor. Silva Fennica 44(3): 453-464. DOI: 10.14214/sf.142

Björheden R., Apel K., Shiba M., Thompson M., 1995. IUFRO forest work study nomenclature. Grapenberg, Sweden: Swedish University of Agricultural Science, Department of Operational Efficiency, 16p.

Borz S.A., Ignea G. Popa B., Spârchez G., Iordache E., 2015. Estimating time consumption and productivity of roundwood skidding in group shelterwood system – a case study in a broadleaved mixed stand located in reduced accessibility conditions. Croatian Journal of Forest Engineering 36(1): 137-146.

Borz S.A., Bîrda M., Ignea G., Popa B., Câmpu V.R., Iordache E., Derczeni R.A., 2014. Efficiency of a Woody 60 processor attached to a Mounty 4100 tower yarder when processing coniferous timber from thinning operations. Annals of Forest Research 57(2): 333-345. DOI: 10.15287/afr.2014.258

Borz S.A., Dinulică F., Bîrda M., Ignea G., Ciobanu V.D., Popa B., 2013. Time consumption and productivity of skidding Silver Fir (Abies alba Mill.) round wood in reduced accessibility conditions: a case study in windthrow salvage logging from Romanian Carpathians. Annals of Forest Research 56(2): 363-375.

Danilović M., Tomašević I., Gačić D., 2011. Efficiency of a John Deere 1470D ECOIII harvester in poplar plantations. Croatian Journal of Forest Engineering 32(2): 533-548.

DiFulvio F., Bergström D., Kons K., Nordfjell T., 2012. Productivity and profitability of forest machines in the harvesting of normal and overgrown willow plantations. Croatian Journal of Forest Engineering 33(1): 25-37.

Eisenhauer J.G., 2003. Regression through origin. Teaching statistics 25(3): 76-80. DOI: 10.1111/1467-9639.00136

Fernandez-Lacruz R., DiFulvio F., Bergström D., 2013. Productivity and profitability of harvesting power line corridors for bioenergy. Silva Fennica 47(1): 1-23. DOI: 10.14214/sf.904

Glöde D., Sikström U., 2001. Two felling methods in final cutting of shelterwood, single-grip harvester productivity and damage to the regeneration. Silva Fennica 35(1): 71-83. DOI: 10.14214/sf.604

Han H.S., Renzie C., 2005. Productivity and cost of partial harvesting method to control mountain pine beetle infestations in British Columbia. WJAR 20(2): 128-133.

Heikkilä J., Ylimartimo M., Mäkinen P., 2005. Time consumption, work quality and cost of mechanized precommercial thinning. Baltic Forestry 11(1): 73-79.

Hiesl P., Benjamin J.G., 2013. Applicability of international harvesting equipment productivity studies in Maine, USA: A literature review. Forests 4: 898-921. DOI: 10.3390/f4040898

Heinimann H.R., 2007. Forest operations engineering and management – the ways behind and ahead of a scientific discipline. Croatian Journal of Forest Engineering 28(1): 107-121.

Iwaoka M., Aruga K., Sakurai R., Cho K.H., Sakai H., Kobayashi H., 1999. Performance of small harvester head in a thinning operation. Journal of Forest Research 4: 195-200. DOI: 10.1007/BF02762248

Laitila J., Asikaninen A., 2006. Energy wood logging from early thinnings by harwarder method. Baltic Forestry 12(1): 94-102.

Laitila J., Väätäinen K., 2013. The cutting productivity of the excavator-based harvester in integrated harvesting of pulpwood and energy wood. Baltic Forestry 19(2): 289-300.

Ligné D., Eliasson L., Nordfjell T., 2005. Time consumption and damage to the remaining stock in mechanised and motor manual pre-commercial thinning. Silva Fennica 39(3): 455–464. DOI: 10. 14214/sf.379

Magagnotti N., Nati C., Picchi G., Spinelli R., 2011. Mechanized thinning of walnut plantations established on ex-arable land. Agroforest. Syst. 82: 77-86. DOI: 10.1007/s10457-010-9348-1

Magagnotti N., Spinelli, R. (Eds.), 2012. COST Action FP0902 – Good Practice Guideline for Biomass Production Studies. CNR IVALSA, Florence, Italy, ISBN978-88-901660-4-4, 41 p., available at: www.forestenergy.org

Mizaras S., Sadauskiene L., Mizaraite D., 2008. Productivity of harvesting machines and costs of mechanized wood harvesting: Lithuanian case study. Baltic Forestry 14(2): 155-162.

Nakagawa M., Hayashi N., Narushima T., 2010. Effect of tree size on time of each work element and processing productivity using an excavator-based single-grip harvester or processor at a landing. Journal of Forest Research 15: 226-233. DOI: 10.1007/s10310-010-0180-2

Niemistö P., Korpunen H., Laurén A., Uusitalo J., 2012. Impact and productivity of harvesting while retaining young understorey spruces in final cutting of downy birch. Silva Fennica 46(1): 81-97. DOI: 10.14214/sf.67

Nurminen T., Korpunene H., Uusitalo J., 2006. Time consumption analysis of the mechanized cut-to-length harvesting system. Silva Fennica 40(2): 335-363. DOI: 10.14214/sf.346

Nuutinen Y., Väätäinen K., Heinonen J., Asikainen A., Röser D. 2008. The accuracy of manually recorded time study data for harvester operation shown via simulator screen. Silva Fennica 42(1): 63–72. DOI: 10.14214/sf.264

Oprea I., 2008. Tehnologia exploatării lemnului. Transilvania University Press, Braşov, 273 p.

Oprea I., Borz S.A., 2007. Organizarea şantierelor de exploatare a lemnului. Transilvania University Press, Braşov, 133 p. Ovaskainen H., 2005. Comparison of harvester work in forest and simulator environments. Silva Fennica 39(1): 89–101.

Picchio R., Sirna A., Sperandio G., Spina R., Verani S., 2012. Mechanized harvesting of eucalypt coppice for biomass production using high mechanization level. Croatian Journal of Forest Engineering 33(1): 15-24.

Rottensteiner C., Affenzeller G., Stampfer K., 2008. Evaluation of the feller-buncher Moipu 400E for energy wood harvesting. Croatian Journal of Forest Engineering 29(2): 117-128.

Schöttl F., Lindemann U., 2015. Quantifying the complexity of socio-technical systems - a generic, interdisciplinary approach. Procedia Computer Science 44: 1-10. DOI: 10.1016/j.procs.2015.03.019

Sowa J., Kulak D., Szewczyk G., 2007. Costs and efficiency of timber harvesting by NIAB 5-15 processor mounted on a farm tractor. Croatian Journal of Forest Engineering 28(2): 177-184.

Spinelli R., Laina-Rela-o R., Magagnotti N., Tolosana E., 2013. Determining observer and method effects on the accuracy of elemental time studies in forest operations. Baltic Forestry 19(2): 301-306.

Spinelli R., Nati C., Magagnotti N., 2006. Biomass harvesting from buffer strips in Italy: three options compared. Agroforest. Syst. 68: 113-121. DOI: 10.1007/s10457-006-9002-0

Spinelli R., Nati C., 2009. A low investment fully mechanized operation for pure selection thinning of pine plantations. Croatian Journal of Forest Engineering 30(2): 89-97.

Strandgard M., Alam M., Mitchell R., 2014. Impact of slope on productivity of a self-levelling processor. Croatian Journal of Forest Engineering 35(2): 193-200.

Suchomel C., Spinelli R., Magagnotti N., 2012. Productivity of processing hardwood from coppice forests. Croatian Journal of Forest Engineering 33(1): 39-47.

Szewczyk G., Sowa J.M., Grzebieniowski W., Kormanek M., Kulak D., Stańczykiewicz A., 2014. Sequencing of harvester work during standard cuttings and in areas with windbreaks. Silva Fennica 48(4): 1-16. DOI: 10.14214/sf.1159

Şofletea N., Curtu L., 2008. Dendrologie. "Pentru Viaţă" Publishing House, Braşov, 418 p.

Visser R., Spinelli R., 2012. Determining the shape of the productivity function for mechanized felling and felling-processing. Journal of Forest Research 17: 397-402. DOI: 10.1007/s10310-011-0313-2

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Published

2015-11-24

Issue

Vol. 59 No. 1 (2016)

Section

Research article

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