Evaluation of a novel mobile device app for value-maximized bucking by chainsaw

References

• Acuna MA, Murphy GE. 2005. Optimal bucking of Douglas fir taking into consideration external properties and wood density. N Z J For Sci. 35:139–152.
   Google Scholar
• Akay AE, Sessions J, Serin H, Pak M, Yenilmez N. 2010. Applying optimum bucking method in producing Taurus Fir (Abies cilicica) logs in Mediterranean region of Turkey. Balt For. 16:273–279.
   Google Scholar
• Altherr E, Unfried P, Hradetzky J, Hradetzky V. 1974. Statistische Rindenbeziehungen als Hilfsmittel zur Ausformung und Aufmessung unentrindeten Stammholzes: Teil I: Kiefer, Buche, Hainbuche, Esche und Roterle [Statistical bark relations for bucking and measurement of stems in bark: Part I: Pine, European beech, hornbeam, ash and red alder]. Forstliche Versuchs- und Forschungsanstalt Baden-Württemberg, Freiburg im Breisgau (Germany): Mitteilungen d. FVA. 61:137.
   Google Scholar
• Altherr E, Unfried P, Hradetzky J, Hradetzky V. 1975. Statistische Rindenbeziehungen als Hilfsmittel zur Ausformung und Aufmessung unentrindeten Stammholzes: Teil II: Europäische Lärche, Japanische Lärche, Schwarzkiefer, Stieleiche, Traubeneiche, Roteiche, Bergahorn und Linde [Statistical bark relations for bucking and measurement of stems in bark: Part II: European larch, Japanese Larch, Austrian pine, penduculate oak, sessile oak, northern red oak, sycamore maple and lime]. Forstliche Versuchs- und Forschungsanstalt Baden-Württemberg, Freiburg im Breisgau (Germany): Mitteilungen d. FVA.68:201.
   Google Scholar
• Altherr E, Unfried P, Hradetzky J, Hradetzky V. 1978. Statistische Rindenbeziehungen als Hilfsmittel zur Ausformung und Aufmessung unentrindeten Stammholzes: Teil IV: Fichte, Tanne, Douglasie und Sitka-Fichte [Statistical bark relations for bucking and measurement of stems in bark: Part IV: Norway spruce, Fir, Douglas fir, Sitka spruce]. Forstliche Versuchs- und Forschungsanstalt Baden-Württemberg, Freiburg im Breisgau (Germany): Mitteilungen d. FVA. 90:294.
   Google Scholar
• Berendt F, Fortin M, Jaeger D, Schweier J. 2017. How climate change will affect forest composition and forest operations in Baden-Württemberg-A GIS-based case study approach. FORESTS. 8:298.
   Web of Science ®Google Scholar
• Bont L 2005. Kundenorientierte Optimierung der Sortiments-Aushaltung bei der Holzernte [Customer-oriented bucking optimization in timber harvesting]. master’s thesis. Zürich (Switzerland): Swiss Federal Institute of Technology.
   Google Scholar
• Bowers S. 1998. Increased value through optimal bucking. West J Appl For. 13:85–89.
   Google Scholar
• Briggs DG 1989. Tree Value System: descriptions and assumptions. General technical Report PNW-GTR-239. Portland (OR (U.S.A)): USDA Forest Service, Pacific Northwest Research Station, p. 24.
   Google Scholar
• Eckmüllner O, Schedl P, Sterba H. 2007. Neue Schaftkurven für die Hauptbaumarten Österreichs und deren Ausformung in marktkonforme Sortimente. Austrian J For Sci. 124:215–236.
   Google Scholar
• Eng G, Whyte AGD 23-24th August 1982. Optimal tree bucking. Operational research society of New Zealand: Proceedings of 18th annual ORSNZ conference, Canterbury, New Zealand, 91–98.
   Google Scholar
• Eng H, Daellenbach HG. 1985. Technical note - forest outturn optimization by Dantzig-Wolfe decomposition and dynamic programming column generation. OPER RES. 33:459–464.
   Web of Science ®Google Scholar
• Erber G 24-28 September 2018. First accuracy test of a novel mobile device based application for value-optimized bucking in motor-manual harvesting operations. Proceedings of the 51st International Symposium on Forestry Mechanization: “Improved Forest Mechanisation: Mobilizing natural resources and preventing wildfires”, Madrid, Spain, 112–123.
   Google Scholar
• Erber G, Viertbauer M, Schildberger V 2019. T4E Bucking App - A mobile device based application for value-optimized motor-manual bucking - manual, version 1.3, Sep 2019. [accessed 2020 Sep 29]. http://www.tech4effect.eu/wp-content/uploads/2019/11/manual-english-v13-201909.pdf
   Google Scholar
• Faaland B, Briggs D. 1984. Log bucking and lumber manufacturing using dynamic programming. Manage Sci. 30:245–257.
   Web of Science ®Google Scholar
• Garland J, Sessions J, Olsen ED. 1989. Manufacturing logs with computer-aided bucking at the stump. For Pro J. 39:63–66.
   Web of Science ®Google Scholar
• Geerts JM, Twaddle AA. 1984. A method to assess log value loss caused by crosscutting practice on the skidsite. N Z J For. 29:173–184.
   Google Scholar
• Gollob C, Ritter T, Nothdurft A. 2020. Forest inventory with long range and high-speed personal laser scanning (PLS) and simultaneous localization and mapping (SLAM) technology. Remote Sens. 12: 1509.
   Web of Science ®Google Scholar
• Grondin F. 1998. Improvements of the dynamic programming algorithm for tree bucking. Wood Fiber Sci. 30:91–104.
   Web of Science ®Google Scholar
• Hyyppä E, Kukko A, Kaijaluoto R, White J, Wulder M, Pyörälä J, Liang X, Yu X, Wang Y, Kaartinen H, et al. 2020. Accurate derivation of stem curve and volume using backpack mobile laser scanning. ISPRS J Photogramm Remote Sens. 161:246–262.
   Web of Science ®Google Scholar
• Kivinen V-P 2007. Design and testing of stand-specific bucking instructions for use on modern cut-to-length harvesters. doctoral thesis. Helsinki (Finland): University of Helsinki.
   Google Scholar
• Labelle ER, Bergen M, Windisch J. 2017. The effect of quality bucking and automatic bucking on harvesting productivity and product recovery in a pine-dominated stand. Eur J FOR RES. 136:639–652.
   Web of Science ®Google Scholar
• Laroze AJ. 1999. A linear programming, Tabu Search method for solving forest-level bucking optimization problems. FOR SCI 45: 108-116.
   Google Scholar
• Laroze AJ, Greber BJ. 1997. Using Tabu Search to generate stand-level, rule-based bucking patterns. For Sci. 43:157–169.
   Google Scholar
• Liang X, Kankare V, Yu X, Hyyppä J, Holopainen M. 2014. Automated stem curve measurement using terrestrial laser scanning. IEEE Trans Geosci Remote Sens. 52:1739–1748.
   Web of Science ®Google Scholar
• Magagnotti N, Kanzian C, Schulmeyer F, Spinelli R. 2013. A new guide for work studies in forestry. Int J for Eng. 24:249–253.
   Google Scholar
• Mendoza GA, Bare BB. 1986. A two-stage decision model for log bucking and allocation. For Pro J. 36:70–74.
   Web of Science ®Google Scholar
• Murphy G 1987 . An economic analysis of final log manufacturing locations in the steep terrain Radiata pine plantations of New Zealand. Doctoral thesis. Corvallis (OR (U.S.A.)): Oregon State University,
   Google Scholar
• Murphy G. 2008. Determining stand value and log product yields using terrestrial lidar and optimal bucking: a case study. J For. 106:317–324.
   Web of Science ®Google Scholar
• Näsberg M 1985. Mathematical programming models for optimal log bucking. Doctoral thesis. Linköping (Sweden): Linköping University.
   Google Scholar
• Olsen E, Stringham B, Pilkerton S. 1997. Optimal bucking: two trials with commercial OSU BUCK software. Foresty Research Lab, Oregon State University, Corvallis (OR, U.S.A). Res Contrib. 16:32.
   Google Scholar
• Olsen ED, Pilkerton S, Garland J, Sessions J. 1991. Questions about optimal bucking. Forestry Research Lab, Oregon State University, Corvallis (OR, U.S.A). Res Bull. 71:18.
   Google Scholar
• Pickens J, Throop SA, Frendewey J. 1997. Choosing prices to optimally buck hardwood logs with multiple log-length demand restrictions. For Sci. 43:403–413.
   Google Scholar
• Pickens JB, Lyon GW, Lee A, Frayer WE. 1993. HW-BUCK: a computer game for improving hardwood log bucking skills. J For. 91:42–45.
   Web of Science ®Google Scholar
• Pnevmaticos SM, Mann SH. 1972. Dynamic programming in tree bucking. For Prod J. 22:26–30.
   Google Scholar
• Puumalainen J. 1998. Optimal cross‐cutting and sensitivity analysis for various log dimension constraints by using dynamic programming approach. Scand J For Res. 13:74–82.
   Web of Science ®Google Scholar
• Pyörälä J, Kankare V, Liang X, Saarinen N, Rikala J, Kivinen V, Sipi M, Holopainen M, Hyyppä J, Vastaranta M. 2019. Assessing log geometry and wood quality in standing timber using terrestrial laser-scanning point clouds. Forestry. 92:177–187.
   Web of Science ®Google Scholar
• R Core Team. Sep 30 2018. R: a language and environment for statistical computing. Vienna (Austria): R Foundation for Statistical Computing. [accessed 2020]. https://www.R-project.org/.
   Google Scholar
• Rossmann J, Schluse M, Schlette C. 2010. The virtual forest: robotics and simulation technology as the basis for new approaches to the biological and the technical production in the forest. Syst Cybernet Inform. 43–48.
   Google Scholar
• Sessions J, Garland J, Olsen ED. 1989. Testing computer-aided bucking at the stump. J For. 82:43–46.
   Google Scholar
• Sessions J, Layton R, Guangda L. 1988. Improving tree bucking decisions: a network approach. The Compiler. 6:5–9.
   Google Scholar
• Smith J, Harrell G. 1961. Linear programming in log production. For Prod J. 11:8–11.
   Google Scholar
• TECH4EFFECT. 2020. Policy brief. [accessed 2020 Sep 29]. http://www.tech4effect.eu/wp-content/uploads/2020/09/policy-brief-web.pdf.
   Google Scholar
• Waddell DA 1982. A practical system for determining optimal tree bucking at the stump. Master’s thesis. Vancouver (Canada): University of Canterbury.
   Google Scholar
• Wagner T. 2019. Industrie 4.0 für den Cluster Wald und Holz – umsetzung zukunftweisender Innovationen im Kompetenzzentrum Wald und Holz 4.0 [Industry 4.0 for the Forest and Wood Cluster - Implementation of trend-setting innovations in the Forest and Wood Competence Center 4.0]. Lehr- und Versuchsforstamt Arnsberger Wald (Arnsberg (Germany)): Leistungsbericht. 71–75. 2018.
   Google Scholar
• Wang J, LeDoux C, Mcneel J. 2004. Optimal tree-stem bucking of Northeastern species of China. For Prod J. 54:45–52.
   Web of Science ®Google Scholar
• Wang J, Liu J, LeDoux CB. 2009. A three-dimensional bucking system for optimal bucking of Central Appalachian hardwoods. Int J For Eng. 20:26–35.
   Google Scholar
• Wiener Börse AG. 2006. Österreichische Holzhandelsusancen 2006 [Austrian Timber Trade Guidelines 2006]. Vienna (Austria): Wiener Börse AG; p. 271.
   Google Scholar