Research Article
BibTex RIS Cite

Simulation Modeling of Time for Moving a Fallen Tree by Harvester to the Zone of Its Bucking

Year 2024, Volume: 10 Issue: 2, 142 - 148
https://doi.org/10.33904/ejfe.1457710

Abstract

The aim of the research was to create a mathematical dependence to justify the labor costs of moving a fallen tree by harvester to the zone of its bucking, depending on the variety of values of natural factors characterizing the operation of the harvester during the partial cut of the forest. For this research, the computer simulation model of the technological process of the forest harvester was created. Production experiments were carried out to test the model. The computer experiment was implemented on the model, and regression dependence was obtained. The results of this study showed that the relationship between the residual density of plantings and the execution time of the moving operations using regression dependence. The multiple coefficients of determination of the nonlinear model was 0.845. This value indicates that the change in the average time of moving a fallen tree to the zone of its bucking depends on changes in the factors included in the regression model, and this dependence is not accidental. The results can be used by research organizations when planning the production process of logging operations.

Supporting Institution

Russian Science Foundation

Project Number

№ 24-26-00129

Thanks

The study was supported by the grant the Russian Science Foundation № 24-26-00129, https://rscf.ru/project/24-26-00129/»

References

  • Aedo-Ortiz, D.M., Olsen, E.D., Kellogg, L.D. 1997. Simulating a harvester-forwarder softwood thinning: a software evaluation. Forest Products Journal, 47(5): 36.
  • Asikainen, A. 2010. Simulation of stump crushing and truck transport of chips. Scandinavian journal of forest research, 25(3): 245-250.
  • Bare, B.B., Jayne, B.A., Anholt, B.F. 1976. A simulation-based approach for evaluating logging residue handling systems. Gen. Tech. Rep. PNW-GTR-045, Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 30 p.
  • Bergstrom, D., Bergsten, U., Nordfjell, T., Lundmark, T. 2007. Simulation of geometric thinning systems and their time requirements for young forests. Silva Fennica, 41(1): 137.
  • Bradley, D.P., Biltonen, F.E., Winsauer, S.A. 1976. A computer simulation of full-tree field chipping and trucking. Nr. research paper NC-129: US Department of Agriculture, Forest Service, North Central Forest Experiment Station. 14 p.
  • Chayka, O.R. Fokin, N.S. 2018. Simulation algorithm of parameters of forest plantations, Repair, Reconditioning, Modernization, 12:41-43. DOI 10.31044/1684-2561-2018-0-12-41-43.
  • Chernik, D.V., Kazantsev, R.V. 2020. Imitational physical modeling of a universal forestry machine. Conifers of the boreal area, 38(3-4): 183-188.
  • Eliasson, L., Lageson, H. 1999. Simulation study of a single-grip harvester in thinning from below and thinning from above. Scandinavian Journal of Forest Research, 14(6): 589-595.
  • Fisher, E.L., Gochenour, D.L. 1980. Improved Timber Harvesting Through Better Planning: A GASP IV Simulation Analysis. Transactions of the ASAE, 23(3): 553-0557.
  • Garbini, J.L., Lembersky, M.R., Chi, U.H., Hehnen, M.T. 1984. Merchandiser design using simulation with graphical animation. Forest Products J. 34: 61-68.
  • Gerasimov, Yu., Davydkov, G.A., Kilpelainen, S.A., Sokolov, A.P. Syunyov, V.S. 2003. Prospects of applying new information technologies in forest complex. News of Higher Educational Institutions Forestry Journal, 5: 122–129.
  • Goulet, D.V., Iff, R.H., Sirois, D.L. 1980. Analysis of five forest harvesting simulation models. II. Paths, pitfalls, and other considerations. For. Prod. J. 30(8): 18-22.
  • Greene, W.D., Lanford, B.L., Mykytka, E.F. 1987. Stand and operating effects on feller-buncher productivity in second thinnings of southern pine. For. Prod. J. 37(3):27-34.
  • Hartsough, B.R., Zhang, X., Fight, R.D. 2001. Harvesting cost model for small trees in natural stands in the Interior Northwest. Forest Products Journal. 51(4): 54-61.
  • Johnson, L.R., Biller, C.J. 1974. Wood-chipping and a balanced logging system simulation can check the combinations. Transactions of the ASAE, 17(4): 651-0655.
  • Kellogg, L.D., Bettinger, P. 1994. Thinning productivity and cost for a mechanized cut-to-length system in the Northwest Pacific Coast region of the USA. Journal of Forest Engineering, 5(2): 43-54.
  • Killham, J.R. 1975. The development of a forest harvesting simulation model. M.S. Thesis. Auburn Universtiy. Auburn, Alabama.
  • Kunitskaya, O.A., Chernutskii, N.A., Derbin, M.V., Rudov, S.E., Grigorev, I.V. Grigoreva, O.I. 2019. Machine harvesting of wood according to Scandinavian technology. St. Petersburg: Publishing and Printing Association of Higher Educational Institutions, 192 p.
  • Laurila, Ya., Kuchin, A.V., Lebedev, V.D., Elepov, A.A., Varakin, M. Yu. Tadiashvili, I.R. 2020. PONSSE Forest Machines: Tutorial. Arkhangelsk, Russian Federation: LLC "SK "Arkhangelsk".
  • Lindroos, O. 2008. The Effects of Increased Mechanization on Time Consumption in Small- Scale Firewood Processing. Silva Fennica, 42(5): 791-805.
  • McNeel, J.F. Rutherford, D. 1994. Modelling Harvester-Forwarder System Performance in a Selection Harvest. Journal of Forest Engineering, 6(1): 7 - 14.
  • Mokhirev, A.P. 2016. Method of selection of forest machines under the climatic conditions. Forestry engineering journal, 6, 4(24): 208-215.
  • Mokhirev, A.P., Kunitskaya, O.A., Kalita, G.A., Verner, N.N., Shvetsova, V.V. 2022. Logging harvester reliability assessment. Forestry Bulletin, 26(5). 93-101. https://doi.org/10.18698/2542-1468-2022-5-93-101.
  • Mokhirev, A.P., Mammatov, V.O. Urazaev, A.P. 2015. Modeling of the technological process of logging machines. Journal of International Scientific Researches, 3(24): 72-74.
  • Nurminen, T. Heikki, K., Uusitalo, J. 2006. Time Consumption Analysis of the Mechanized Cut-to-length Harvesting System. Silva Fennica, 40(2): 335-363. https://doi.org/10.14214/sf.346.
  • O'Hearn, S.E., Stuart, B.W., Walbridge, T.A. 1976. Using computer simulation for comparing performance criteria between harvesting systems. American Society of Agricultural Engineers Paper, 76, 1567.
  • Randhawa, S.U., Scott, T.M. 1996. Model generation for simulation analysis: an application to timber harvesting. Computers & Industrial Engineering, 30(1): 51-60.
  • Rukomojnikov, K.P. 2013. Simulation modeling of mutually coordinated operation of sets of adaptive-modular forest machines. Forestry Bulletin, 3: 154–158.
  • Rukomojnikov, K.P., Sergeeva, T.V., Gilyazova, T.A., Voldaev, M.N., Tsarev, E.M. Anisimov, S.E. 2022a. Computer simulation of the development of logging sites using a felling-delimbing bucker. Systems. Methods. Technology, 2(54): 108-113. Rukomojnikov, K.P., Sergeeva, T.V., Gilyazova, T.A., Tsarev, E.М. Anisimov, P.N. 2024. The Influence of the Stand Composition on the Cycle Time of the Harvester. Lesnoy Zhurnal, Russian Forestry Journal, 3:153–165. (In Russ.). https://doi.org/ 10.37482/0536-1036-2024-3-153-165.
  • Rukomoynikov, K.P., Sergeeva, T.V., Gilyazova, T.A. Komisar V. P. 2022b. Computer modeling to support management and organizational decisions in the use of a forest harvester. Proceedings of SPIE, 122510. https://doi.org/10.1117/12.2631137.
  • Sängstuvall, L., Bergström, D., Lämås, T. Nordfjell, T. 2012. Simulation of harvester productivity in selective and boom-corridor thinning of young forests. Scandinavian Journal of Forest Research, Volume: 27(1): 56-73. http://doi.org/10.1080/ 02827581.2011.628335.
  • Shirnin, YU.A., Onuchin, E.M. 2003. Simulation modeling of the movement of a multi-operational forest machine. Russian Forestry Journal, 4: 66-72.
  • Sokolov, A.P. Osipov, E.V. 2017. Simulation modeling of the wood harvesting processes using petri nets. Forestry Engineering Journal, 7(3-27): 307–314. https://doi.org/10.12737/article_59c2140d704ae5.63513712.
  • Spinelli, R. Visser, R. 2008. Analyzing and estimating delays in harvester operations. International Journal of Forest Engineering, 19(1): 36-41.
  • Stampfer, K. Henoch, J. 1999. Process simulation to evaluate steep terrain harvesting systems. Landwards, The Institution of Agriculture Engineers, 54(3):1-11.
  • Stuart, W.B. 1981. Harvesting analysis Technique: a computer simulation system for timber harvesting. Forest Prod. J., 31(11): 45-53.
  • Wang, J., Greene, W.D., Stokes, B.J. 1998. Stand, harvest, and equipment interactions in simulated harvesting prescriptions. Forest Products Society. 48:9.
  • Wang, J., Greene, W.D. 1999. An interactive simulation system for modeling stands, harvests, and machines. Journal of Forest Engineering, 10(1): 81-99.
  • Wang, J., LeDoux, C.B. 2003. Estimating and validating ground-based timber harvesting production through computer simulation. Forest Science, 49(1): 64-76.
  • Webster, D.B. 1975. Development of a flexible timber harvesting simulation model. For. Prod. J., 25(1):40-45.
  • Winsauer, S.A. 1981. A program and documentation for simulation of a tracked feller/buncher. North Central Forest Experiment Station, Forest Service, US Department of Agriculture, NC-192. 29 p.
  • Yaoxiang, L. 2005. Modeling operational forestry problems in central Appalachian hardwood forests. Graduate Theses, Dissertations, and Problem Reports. 4166. https://doi.org/10.33915/etd.4166.
Year 2024, Volume: 10 Issue: 2, 142 - 148
https://doi.org/10.33904/ejfe.1457710

Abstract

Project Number

№ 24-26-00129

References

  • Aedo-Ortiz, D.M., Olsen, E.D., Kellogg, L.D. 1997. Simulating a harvester-forwarder softwood thinning: a software evaluation. Forest Products Journal, 47(5): 36.
  • Asikainen, A. 2010. Simulation of stump crushing and truck transport of chips. Scandinavian journal of forest research, 25(3): 245-250.
  • Bare, B.B., Jayne, B.A., Anholt, B.F. 1976. A simulation-based approach for evaluating logging residue handling systems. Gen. Tech. Rep. PNW-GTR-045, Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 30 p.
  • Bergstrom, D., Bergsten, U., Nordfjell, T., Lundmark, T. 2007. Simulation of geometric thinning systems and their time requirements for young forests. Silva Fennica, 41(1): 137.
  • Bradley, D.P., Biltonen, F.E., Winsauer, S.A. 1976. A computer simulation of full-tree field chipping and trucking. Nr. research paper NC-129: US Department of Agriculture, Forest Service, North Central Forest Experiment Station. 14 p.
  • Chayka, O.R. Fokin, N.S. 2018. Simulation algorithm of parameters of forest plantations, Repair, Reconditioning, Modernization, 12:41-43. DOI 10.31044/1684-2561-2018-0-12-41-43.
  • Chernik, D.V., Kazantsev, R.V. 2020. Imitational physical modeling of a universal forestry machine. Conifers of the boreal area, 38(3-4): 183-188.
  • Eliasson, L., Lageson, H. 1999. Simulation study of a single-grip harvester in thinning from below and thinning from above. Scandinavian Journal of Forest Research, 14(6): 589-595.
  • Fisher, E.L., Gochenour, D.L. 1980. Improved Timber Harvesting Through Better Planning: A GASP IV Simulation Analysis. Transactions of the ASAE, 23(3): 553-0557.
  • Garbini, J.L., Lembersky, M.R., Chi, U.H., Hehnen, M.T. 1984. Merchandiser design using simulation with graphical animation. Forest Products J. 34: 61-68.
  • Gerasimov, Yu., Davydkov, G.A., Kilpelainen, S.A., Sokolov, A.P. Syunyov, V.S. 2003. Prospects of applying new information technologies in forest complex. News of Higher Educational Institutions Forestry Journal, 5: 122–129.
  • Goulet, D.V., Iff, R.H., Sirois, D.L. 1980. Analysis of five forest harvesting simulation models. II. Paths, pitfalls, and other considerations. For. Prod. J. 30(8): 18-22.
  • Greene, W.D., Lanford, B.L., Mykytka, E.F. 1987. Stand and operating effects on feller-buncher productivity in second thinnings of southern pine. For. Prod. J. 37(3):27-34.
  • Hartsough, B.R., Zhang, X., Fight, R.D. 2001. Harvesting cost model for small trees in natural stands in the Interior Northwest. Forest Products Journal. 51(4): 54-61.
  • Johnson, L.R., Biller, C.J. 1974. Wood-chipping and a balanced logging system simulation can check the combinations. Transactions of the ASAE, 17(4): 651-0655.
  • Kellogg, L.D., Bettinger, P. 1994. Thinning productivity and cost for a mechanized cut-to-length system in the Northwest Pacific Coast region of the USA. Journal of Forest Engineering, 5(2): 43-54.
  • Killham, J.R. 1975. The development of a forest harvesting simulation model. M.S. Thesis. Auburn Universtiy. Auburn, Alabama.
  • Kunitskaya, O.A., Chernutskii, N.A., Derbin, M.V., Rudov, S.E., Grigorev, I.V. Grigoreva, O.I. 2019. Machine harvesting of wood according to Scandinavian technology. St. Petersburg: Publishing and Printing Association of Higher Educational Institutions, 192 p.
  • Laurila, Ya., Kuchin, A.V., Lebedev, V.D., Elepov, A.A., Varakin, M. Yu. Tadiashvili, I.R. 2020. PONSSE Forest Machines: Tutorial. Arkhangelsk, Russian Federation: LLC "SK "Arkhangelsk".
  • Lindroos, O. 2008. The Effects of Increased Mechanization on Time Consumption in Small- Scale Firewood Processing. Silva Fennica, 42(5): 791-805.
  • McNeel, J.F. Rutherford, D. 1994. Modelling Harvester-Forwarder System Performance in a Selection Harvest. Journal of Forest Engineering, 6(1): 7 - 14.
  • Mokhirev, A.P. 2016. Method of selection of forest machines under the climatic conditions. Forestry engineering journal, 6, 4(24): 208-215.
  • Mokhirev, A.P., Kunitskaya, O.A., Kalita, G.A., Verner, N.N., Shvetsova, V.V. 2022. Logging harvester reliability assessment. Forestry Bulletin, 26(5). 93-101. https://doi.org/10.18698/2542-1468-2022-5-93-101.
  • Mokhirev, A.P., Mammatov, V.O. Urazaev, A.P. 2015. Modeling of the technological process of logging machines. Journal of International Scientific Researches, 3(24): 72-74.
  • Nurminen, T. Heikki, K., Uusitalo, J. 2006. Time Consumption Analysis of the Mechanized Cut-to-length Harvesting System. Silva Fennica, 40(2): 335-363. https://doi.org/10.14214/sf.346.
  • O'Hearn, S.E., Stuart, B.W., Walbridge, T.A. 1976. Using computer simulation for comparing performance criteria between harvesting systems. American Society of Agricultural Engineers Paper, 76, 1567.
  • Randhawa, S.U., Scott, T.M. 1996. Model generation for simulation analysis: an application to timber harvesting. Computers & Industrial Engineering, 30(1): 51-60.
  • Rukomojnikov, K.P. 2013. Simulation modeling of mutually coordinated operation of sets of adaptive-modular forest machines. Forestry Bulletin, 3: 154–158.
  • Rukomojnikov, K.P., Sergeeva, T.V., Gilyazova, T.A., Voldaev, M.N., Tsarev, E.M. Anisimov, S.E. 2022a. Computer simulation of the development of logging sites using a felling-delimbing bucker. Systems. Methods. Technology, 2(54): 108-113. Rukomojnikov, K.P., Sergeeva, T.V., Gilyazova, T.A., Tsarev, E.М. Anisimov, P.N. 2024. The Influence of the Stand Composition on the Cycle Time of the Harvester. Lesnoy Zhurnal, Russian Forestry Journal, 3:153–165. (In Russ.). https://doi.org/ 10.37482/0536-1036-2024-3-153-165.
  • Rukomoynikov, K.P., Sergeeva, T.V., Gilyazova, T.A. Komisar V. P. 2022b. Computer modeling to support management and organizational decisions in the use of a forest harvester. Proceedings of SPIE, 122510. https://doi.org/10.1117/12.2631137.
  • Sängstuvall, L., Bergström, D., Lämås, T. Nordfjell, T. 2012. Simulation of harvester productivity in selective and boom-corridor thinning of young forests. Scandinavian Journal of Forest Research, Volume: 27(1): 56-73. http://doi.org/10.1080/ 02827581.2011.628335.
  • Shirnin, YU.A., Onuchin, E.M. 2003. Simulation modeling of the movement of a multi-operational forest machine. Russian Forestry Journal, 4: 66-72.
  • Sokolov, A.P. Osipov, E.V. 2017. Simulation modeling of the wood harvesting processes using petri nets. Forestry Engineering Journal, 7(3-27): 307–314. https://doi.org/10.12737/article_59c2140d704ae5.63513712.
  • Spinelli, R. Visser, R. 2008. Analyzing and estimating delays in harvester operations. International Journal of Forest Engineering, 19(1): 36-41.
  • Stampfer, K. Henoch, J. 1999. Process simulation to evaluate steep terrain harvesting systems. Landwards, The Institution of Agriculture Engineers, 54(3):1-11.
  • Stuart, W.B. 1981. Harvesting analysis Technique: a computer simulation system for timber harvesting. Forest Prod. J., 31(11): 45-53.
  • Wang, J., Greene, W.D., Stokes, B.J. 1998. Stand, harvest, and equipment interactions in simulated harvesting prescriptions. Forest Products Society. 48:9.
  • Wang, J., Greene, W.D. 1999. An interactive simulation system for modeling stands, harvests, and machines. Journal of Forest Engineering, 10(1): 81-99.
  • Wang, J., LeDoux, C.B. 2003. Estimating and validating ground-based timber harvesting production through computer simulation. Forest Science, 49(1): 64-76.
  • Webster, D.B. 1975. Development of a flexible timber harvesting simulation model. For. Prod. J., 25(1):40-45.
  • Winsauer, S.A. 1981. A program and documentation for simulation of a tracked feller/buncher. North Central Forest Experiment Station, Forest Service, US Department of Agriculture, NC-192. 29 p.
  • Yaoxiang, L. 2005. Modeling operational forestry problems in central Appalachian hardwood forests. Graduate Theses, Dissertations, and Problem Reports. 4166. https://doi.org/10.33915/etd.4166.
There are 42 citations in total.

Details

Primary Language English
Subjects Forest Products Transport and Evaluation Information, Forestry Sciences (Other)
Journal Section Research Articles
Authors

Tatiana Sergeeva This is me 0000-0002-6367-8340

Tatiana Gilyazova This is me 0000-0001-6067-7185

Konstantin Rukomojnikov 0000-0002-9956-5081

Project Number № 24-26-00129
Early Pub Date November 18, 2024
Publication Date
Submission Date March 23, 2024
Acceptance Date July 9, 2024
Published in Issue Year 2024 Volume: 10 Issue: 2

Cite

APA Sergeeva, T., Gilyazova, T., & Rukomojnikov, K. (2024). Simulation Modeling of Time for Moving a Fallen Tree by Harvester to the Zone of Its Bucking. European Journal of Forest Engineering, 10(2), 142-148. https://doi.org/10.33904/ejfe.1457710

Creative Commons License

The works published in European Journal of Forest Engineering (EJFE) are licensed under a  Creative Commons Attribution-NonCommercial 4.0 International License.