The role of work studies in forest engineering: status and perspectives

References

• Ackerman P, Belbø H, Eliasson L, De Jong A, Lazdins A, Lyons J. 2014. The COST model for calculation of forest operations cost. Int J For Eng. 25:75–81.
   Google Scholar
• Berg S. 1997. Some aspects of LCA in the analysis of forestry operations. J Clean Prod. 5:211–217.
   Google Scholar
• Bergstrand KG. 1991. Planning and analysis of forestry operation studies. Skogsarbeten Bull. 17:1–63.
   Google Scholar
• Björheden R. 1991. Basic time concepts for international comparisons of time study reports. J For Eng. 2:33–39.
   Google Scholar
• Björheden R, Apel K, Shiba M, Thompson M. 1995. IUFRO forest work study nomenclature. Swedish University of Agricultural Science, Department of Operational Efficiency, Garpenberg; 16 p.
   Google Scholar
• Cavalli R. 2012. Prospects of research on cable logging in forest engineering community. Croat J For Eng. 33:339–356.
   Web of Science ®Google Scholar
• Gilbreth FB, Gilbreth LM. 1917. Applied motion study. New York: Sturgis & Walton company; 168 p.
   Google Scholar
• Häggström C, Kawasaki A, Lidestav G. 2013. Profiles of forestry contractors and development of the forestry-contracting sector in Sweden. Scand J For Res. 28:395–404.
   Web of Science ®Google Scholar
• Harstela P. 1991. Work studies in forestry. Joensuu (Finland): University of Joensuu, Faculty of Forestry. Silva Carelica 18.
   Google Scholar
• Heinimann HR. 2007. Forest operations engineering and management–the ways behind and ahead of a scientific discipline. Croat J For Eng. 28:107–121.
   Web of Science ®Google Scholar
• Holzleitner F, Kanzian C, Stampfer K. 2011. Analyzing time and fuel consumption in road transport of round wood with an onboard fleet manager. Eur J For Res. 130:293–301.
   Web of Science ®Google Scholar
• Koŝir B. 2005. Work study – a forgotten scientific branch of forestry? Mehanizacija Šumarstva. 26:17–21.
   Google Scholar
• LeBel L, Stuart W. 1998. Technical efficiency evaluation of logging contractors using a nonparametric model. Int J For Eng. 9:15–24.
   Google Scholar
• Lindner M, Suominen T, Palosuo T, Garcia-Gonzalo J, Verweij P, Zudin S, Päivinen R. 2010. ToSIA – A tool for sustainability impact assessment of forest-wood-chains. Ecol Model. 221:2197–2205.
   Web of Science ®Google Scholar
• Lindroos O. 2010. Scrutinizing the theory of comparative time studies with operator as a block effect. Int J For Eng. 21:20–30.
   Google Scholar
• Luukkonen T. 2000. Additionality of EU framework programmes. Res Pol. 29:711–724.
   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
• Magagnotti N, Spinelli R, editors. 2012. Good practice guidelines for biomass production studies. Sesto Fiorentino (Italy): COST Action FP-0902 and CNR IVALSA. [cited 2013 Oct 07]. Available from: http://www.forestenergy.org/pages/cost-action-fp0902/good-practice-guidelines/
   Google Scholar
• McDonald T, Fulton J. 2005. Automated time study of skidders using global positioning system data. Comp Electron Agr. 48:19–37.
   Web of Science ®Google Scholar
• Nadler G. 1967. Work systems design: the ideal concepts. Homewood (IL): Richard Irwin; 183 p.
   Google Scholar
• Nuutinen Y, Vaatainen K, Heinonen J, Asikainen A, Roser D. 2008. The accuracy of manually recorded time study data for harvester operation shown via simulator screen. Silva Fennica. 42:63.
   Web of Science ®Google Scholar
• Nyland C. 1996. Taylorism, John R. Commons, and the Hoxie report. J Econ Issues. 30:985–1016.
   Web of Science ®Google Scholar
• Olsen E, Hossain M, Miller M. 1998. Statistical comparison of methods used in harvesting work studies. Corvallis (OR): Oregon State University, Forest Research Laboratory. Research Contribution n° 23. 31 p.
   Google Scholar
• Ottaviani-Aalmo G, Baardsen S. 2015. Environmental factors affecting technical efficiency in Norwegian steep terrain logging crews: a stochastic frontier analysis. J For Res. 20:18–23.
   Web of Science ®Google Scholar
• Palander T, Nuutinen Y, Kariniemi A, Väätäinen K. 2013. Automatic time study method for recording work phase times of timber harvesting. For Sci. 59:472–483.
   Google Scholar
• Pigou A. 1924. The economics of welfare. London: McMillan; 837 p.
   Google Scholar
• Purfürst T, Lindroos O. 2011. The long-term productivity’s correlation with subjective and objective ratings of harvester operators. Croat J For Eng. 32:509–519.
   Web of Science ®Google Scholar
• REFA. 1993. Arbeitsgestaltung in der Produktion [Industrial engineering in production systems]. 2nd ed. Methodenlehre der Betriebsorganisation. München: Hanser; 537 p.
   Google Scholar
• Samset I. 1990. Some observations on time and performance studies in forestry. Vol. 43.5. Ås (Norway): Communications of the Norwegian Forest Research Institute; 80 p.
   Google Scholar
• Spinelli R, Laina-Relaño R, Magagnotti N, Tolosana E. 2013. Determining observer and method effect on the accuracy of elemental time studies in forest operations. Baltic For. 19:301–306.
   Google Scholar
• Spinelli R, Visser R. 2008. Analyzing and estimating delays in harvester operations. Int J For Eng. 19:35–40.
   Google Scholar
• Sundberg U. 1988. The emergence and establishment of forest operations and techniques as a discipline in forest science. Vol. 41.8. Ås (Norway): Communication of the Norwegian Forest Research Institute; 137 p.
   Google Scholar
• Taylor FW. 1895. A piece-rate system being a step toward partial solution of the labor problem. Trans Am Soc Mech Eng. 16:865–903.
   Google Scholar
• Taylor FW. 1911. The principles of scientific management. New York: Harper & Brothers; 77 p.
   Google Scholar