Simulation-based evaluation of supply chains for stump fuel

References

• Ala-Fossi A, Ranta T, Vartiamäki T, Laitila J, Jäppinen E. 2007. Large-scale forest fuel supply chain based on stumps and terminals. Lappeenranta (Finland): Lappeenranta University of Technology and Finnish Forest Research Institute; p. 6.
   Google Scholar
• Alexandersson H, Carlsson T, Rådström L. 1984. Transportalternativ för energiråvaror, Haulage alternatives for energy raw materials. Stockholm, Forskningsstifelsen Skogsarbeten Redogörelse 1984.
   Google Scholar
• Aman AL, Baker SA, Greene DW. 2011. Productivity and product quality measures for chippers and grinders on operational southern US timber harvests. Int J For Eng. 22. 7–14
   Google Scholar
• Andersson G. 2000. Technology of fuel chip production in Sweden. Espoo, In: Alakangas E, editor. Proceedings of Nordic treasure hunt - Extracting energy from forest residues., Technical Research Centre of Finland (VTT).
   Google Scholar
• Andersson R. 2011. Tidsstudie av containerhuggbil [Time study of a fork lifter chipper truck]. Arbetsrapport 342, Umeå: Department of Forest Resource Management, Swedish University of Agricultural Sciences [In Swedish with English summary].
   Google Scholar
• Anerud E, Jirjis R. 2011. Fuel quality of Norway spruce stumps – influence of harvesting technique and storage method. Scand J For Res. 26:257–266. doi:10.1080/02827581.2011.561807
   Web of Science ®Google Scholar
• Anerud E, Jirjis R, Gebresenbet G. 2013. Cleaning of harvested Norway spruce stumps using a vibration-based method. Int J For Eng. 24:121–128. doi:10.1080/14942119.2013.798934
   Google Scholar
• Angus-Hankin C, Stokes B, Twaddle A. 1995. The transportation of fuelwood from forest to facility. Biomass Bioenergy. 9:191–203. doi:10.1016/0961-9534(95)00091-7
   Web of Science ®Google Scholar
• Asikainen A. 1995. Discrete-event simulation of mechanized wood-harvesting systems. Joensuu: University of Joensuu.
   Google Scholar
• Asikainen A. 1998. Chipping terminal logistics. Scand J For Res. 13:386–392. doi:10.1080/02827589809382998
   Google Scholar
• Asikainen A. 2010. Simulation of stump crushing and truck transport of chips. Scand J Forest Res. 25:245–250. doi:10.1080/02827581.2010.488656
   Web of Science ®Google Scholar
• Asikainen A, Pulkkinen P. 1998. Comminution of logging residues with evolution 910R chipper, MOHA chipper truck, and Morbark 1200 tub grinder. Int J For Eng. 9(1), 47–53.
   Google Scholar
• Balci O. 1994. Validation, verification, and testing techniques throughout the life cycle of a simulation study. Ann Oper Res. 53:121–173. doi:10.1007/BF02136828
   Google Scholar
• Banks J, Carson J, Nelson B, Nicol D. 2010. Discrete-event system simulation. 5. ed. (Int.ed.), Upper Saddle River, N.J. : Pearson Education.
   Google Scholar
• Bertilsson M. 2011. Grovkrossning av stubbar [Stump shredding - A study in productivity]. Arbetsrapport 335. Umeå: Department of Forest Resource Management, Swedish University of Agricultural Sciences [In Swedish with English summary].
   Google Scholar
• Biller B. 2010. Introduction to simulation input modeling. In: Proceedings of the 2010 Winter Simulation Conference. 49. 5–8 Dec. 2010, Editors: B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, and E. Yucesan, Baltimore, MD, IEEE, Piscataway, NJ, pp. 49–58.
   Google Scholar
• Biller B, Nelson BL. 2002. Answers to the top ten input modeling questions. In: Proceedings of the Winter Simulation Conference, 2002 (vol.1.); 2002 Dec 8–11; p. 35–40.
   Google Scholar
• Bradley DP, Winsauer SA, Station NCFE, Service USF. 1976. Solving wood chip transport problems with computer simulation. North Central Forest Experiment Station, Forest Service, US Department of Agriculture.
   Google Scholar
• Brinker RW, Kinard J, Rummer R, Lanford B. 2002. Machine rates for selected forest harvesting machines. In: Machine Rates for Selected Forest Harvesting Maines; 32 p. Alabama: Auburn University, Alabama Agricultural Experiment Station.
   Google Scholar
• Claesson S. 2008. Skogliga konsekvensanalyser 2008–SKA-VB 08. Report Skogsstyrelsen 25, ISSN 1100–0295.
   Google Scholar
• Eriksson G, Bergström D, Nordfjell T. 2013. The state of the art in woody biomass comminution and sorting in Northern Europe. Int J For Eng. 24:194–215. doi:10.1080/14942119.2013.852391
   Google Scholar
• Eriksson LO, Björheden R. 1989. Optimal storing, transport and processing for a forest-fuel supplier. Eur J Oper Res. 43:26–33. doi:10.1016/0377-2217(89)90406-2.
   Web of Science ®Google Scholar
• Fogdestam N, Granlund P, Eliasson L. 2012. Grovkrossning och sållning av stubbar på terminal. [Coarse grinding of stumps and sieving of the produced hog fuel]. Skogforsk, Uppsala. Arbetsrapport 768 2012 [In Swedish with English summary].
   Google Scholar
• Goldstein N, Diaz L. 2005. Size reduction equipment review. BioCycle. 46:41–48.
   Google Scholar
• Gunnarsson H, Rönnqvist M, Lundgren JT. 2004. Supply chain modelling of forest fuel. Eur J Oper Res. 158:103–123. doi:10.1016/S0377-2217(03)00354-0
   Web of Science ®Google Scholar
• Hakkila P, Kehittamiskeskus T. 2004. Developing Technology for Large-scale Production of Forest Chips: Wood Energy Technology Programme 1999-2003: Final Report, Helsinki, Finland, National Technology Agency.
   Google Scholar
• Hall P, Gigler JK, Sims REH. 2001. Delivery systems of forest arisings for energy production in New Zealand. Biomass Bioenergy. 21:391–399. doi:10.1016/S0961-9534(01)00047-2
   Web of Science ®Google Scholar
• Han HS, Halbrook J., Pan F., Salazar L.. 2010. Economic evaluation of a roll-off trucking system removing forest biomass resulting from shaded fuelbreak treatments. Biomass Bioenergy. 34:1006–1016. doi:10.1016/j.biombioe.2010.02.009
   Web of Science ®Google Scholar
• Hartmann H, BOHM T, Daugbjerg Jensen P, Temmerman M, Rabier F, Golser M. 2006. Methods for size classification of wood chips. Biomass Bioenergy. 30:944–953. doi:10.1016/j.biombioe.2006.06.010
   Web of Science ®Google Scholar
• Iannoni AP, Morabito R. 2006. A discrete simulation analysis of a logistics supply system. Transport Res E-Logistics Transpor Rev. 42:191–210. doi:10.1016/j.tre.2004.10.002
   Web of Science ®Google Scholar
• Johansson J. 2000. Vidaretransport av skogsbränsle från ungskog med lastbil - kostnadsberäkningar [Main hauling of forest fuel from young forest stands – cost calculations]. Dalarna University, Forest industry department, Forest and and timber group, Garpenberg (2000), Report no. 10.
   Google Scholar
• Karttunen K. 2012. The operational efficiency of waterway transport of forest chips on Finland’s Lake Saimaa. Silva Fenn. 46:395.
   Web of Science ®Google Scholar
• Kim J, Realff MJ, Lee JH, Whittaker C, Furtner L. 2011. Design of biomass processing network for biofuel production using an MILP model. Biomass Bioenergy. 35:853–871. doi:10.1016/j.biombioe.2010.11.008
   Web of Science ®Google Scholar
• Korpinen O, Ranta T, Jäppinen E, Hämäläinen E, Laitila J. 2007. Forest fuel supply chain based on terminals and stumps. Joensuu (Finland): Finnish Forest Research Institute.
   Google Scholar
• Laitila J, Leinonen A, Flyktman M, Virkkunen M, Asikainen A. 2010. Metsähakkeen hankinta-ja toimituslogistiikan haasteet ja kehittämistarpeet [Procurement and logistics of forest biomass - challenges and development needs]. Helsinki: VTT.
   Google Scholar
• Lindberg D. 2008. Stubbtransporter och bränslekvalitet hos stubbved [Stump transport and fuel quality in stumpwood]. Arbetsrapport 220. Umeå: Department of Forest Resource Management, Swedish University of Agricultural Sciences [In Swedish with English summary].
   Google Scholar
• Liss J-E. 2006. Studier på nytt fordon för transport av skogsflis. Report, Arbetsdokument/Institutionen för matematik, naturvetenskap och teknik, Dalarna University, Wood Technology.
   Google Scholar
• Miyata ES. 1980. Determining fixed and operating costs of logging equipment. General Technical Report NC-55. St. Paul, MN: U.S. Dept. of Agriculture, Forest Service, North Central Forest Experiment Station.
   Google Scholar
• Mobini M, Sowlati T., Sokhansanj S. 2011. Forest biomass supply logistics for a power plant using the discrete-event simulation approach. Appl Energy. 88:1241–1250. doi:10.1016/j.apenergy.2010.10.016
   Web of Science ®Google Scholar
• Mol RM. 1997. Simulation and optimization of the logistics of biomass fuel collection. NJAS Wagen J Life Sc. 45(1), 217–228.
   Google Scholar
• Möller B, Nielsen PS. 2007. Analysing transport costs of Danish forest wood chip resources by means of continuous cost surfaces. Biomass Bioenergy. 31:291–298. doi:10.1016/j.biombioe.2007.01.018
   Web of Science ®Google Scholar
• Nordén B. 2009. Sammanställning av studier på krossar och flisare 2007–2009. Uppsala, Skogforsk.
   Google Scholar
• Nylinder M. 1979. Conversion factors. Fuelwood/oil. Rapport, Institutionen for Virkeslara, Sveriges Lantbruksuniversitet.
   Google Scholar
• Pottie M, Guimier D. 1985. Preparation of forest biomass for optimal conversion. Pointe Claire, Canada.
   Google Scholar
• Ranta T, Rinne S. 2006. The profitability of transporting uncomminuted raw materials in Finland. Biomass Bioenergy. 30:231–237. doi:10.1016/j.biombioe.2005.11.012
   Web of Science ®Google Scholar
• Ravula PP, Grisso RD, Cundiff JS. 2008. Cotton logistics as a model for a biomass transportation system. Biomass Bioenergy. 32:314–325. doi:10.1016/j.biombioe.2007.10.016
   Web of Science ®Google Scholar
• Routa J, Asikainen A, Björheden R, Laitila J, Röser D. 2012. Forest energy procurement: state of the art in Finland and Sweden. Wiley Interdisciplinary Reviews: Energy and Environment. n/a-n/a.
   Google Scholar
• Sokhansanj S, Kumar A, Turhollow AF. 2006. Development and implementation of integrated biomass supply analysis and logistics model (IBSAL). Biomass Bioenergy. 30:838–847. doi:10.1016/j.biombioe.2006.04.004
   Web of Science ®Google Scholar
• Spinelli R, Magagnotti N. 2010. Comparison of two harvesting systems for the production of forest biomass from the thinning of Picea abies plantations. Scand JFor Res. 25:69–77. doi:10.1080/02827580903505194
   Web of Science ®Google Scholar
• Spinelli R, Visser RJM. 2009. Analyzing and estimating delays in wood chipping operations. Biomass Bioenergy. 33:429–433. doi:10.1016/j.biombioe.2008.08.003
   Web of Science ®Google Scholar
• Stasko TH, Conrado RJ, Wankerl A, Labatut R, Tasseff R, Mannion JT, Gao HO, Sanborn SD, Knott G. 2011. Mapping woody-biomass supply costs using forest inventory and competing industry data. Biomass Bioenergy. 35:263–271. doi:10.1016/j.biombioe.2010.08.044
   Web of Science ®Google Scholar
• van Dyken S, Bakken BH, Skjelbred HI. 2010. Linear mixed-integer models for biomass supply chains with transport, storage and processing. Energy. 35:1338–1350. doi:10.1016/j.energy.2009.11.017
   Web of Science ®Google Scholar
• Velazquez-Marti B, Fernandez-Gonzalez E. 2010. Mathematical algorithms to locate factories to transform biomass in bioenergy focused on logistic network construction. Renew Energy. 35:2136–2142. doi:10.1016/j.renene.2010.02.011
   Web of Science ®Google Scholar
• von Hofsten H, Anerud E, Fogdestam N, Granlund P, Eliasson L. Unpublished. An alternative supply system for stump biomass - coarse grinding combined with sieving of the produced hog fuel. Unpublished article.
   Google Scholar
• von Hofsten H, Brantholm M-Å. 2013. Kostnader och produktivitet i stubbskörd – En fallstudie [Productivity and costs in stump harvest systems – A case study]. Uppsala, Skogforsk, Arbetsrapport 795.
   Google Scholar
• von Hofsten H, Granlund P. 2010. Effektivare transporter om stubbarna grovkrossas på avlägg [Haulage gain from crushing stumps to coarse chips at landing]. Uppsala, Resultat Skogforsk.
   Google Scholar
• von Hofsten H, Lundström H, Nordén B, Thor M. 2006. Systemanalys för uttag av skogsbränsle - ett verktyg för fortsatt utveckling. Uppsala, Skogforsk. Result no. 6.
   Google Scholar
• White KPJ, Ingalls RG. 2009. Introduction to simulation. Winter Simulation Conference. Austin, Texas: Winter Simulation Conference.
   Google Scholar
• Zhang F, Johnson DM, Johnson MA. 2012. Development of a simulation model of biomass supply chain for biofuel production. Renew Energy. doi:10.1016/j.renene.2012.02.006
   Google Scholar