Multi-stem mechanised harvesting operation analysis : application of discrete-event simulation

ion of a real world system is achieved through identifying and incorporating into the model only the dominant and/or relevant factors that control the real world system’s behaviour (Taha, 2003). Through this, the real world system can be represented to an acceptable degree of accuracy. Models vary in the degree to which they represent reality. Isomorphic models comprise an exact agreement between the elements of the model and the object itself. Exact relationships and interactions between the elements are preserved in these models. Homomorphic models are similar to the real system in form, but different in fundamental structure. This difference can be attributed to abstraction in representation. Simulation models are homomorphic, but the degree of isomorphism (extent to which the model agrees with reality) needs to be stated and tested if conclusions from the model are to be drawn. This process is known as model validation (Banks, 1998). Real World System Assumed Real World System Model

[1]  FALLING EQUIPMENT,et al.  Harvesting Systems and Equipment in British Columbia , 1999 .

[2]  Jerry Banks,et al.  The Simulator: New Member of the Simulation Family , 1991 .

[3]  Kieran D. McDonagh Systems Dynamics Simulation To Improve Timber Harvesting System Management , 2002 .

[4]  Matthew L. Corwin,et al.  Common Characteristics of Six Successful Mechanized Small-Tree Harvesting Operations in the South , 1988 .

[5]  Daniel V. Goulet,et al.  Analysis of five forest harvesting simulation models. Part II. Paths, pitfalls, and other considerations. , 1980 .

[6]  C. R. Silversides,et al.  Operational Efficiency in Forestry , 1989, Forestry Sciences.

[7]  Sabah U. Randhawa,et al.  Model generation for simulation analysis: an application to timber harvesting , 1996 .

[8]  EUCALYPT DEBARKING EUCALYPT DEBARKING : an international overview with a Southern African perspective , 2000 .

[9]  Averill M. Law,et al.  Simulation Modeling and Analysis , 1982 .

[10]  C. Gallis,et al.  Activity oriented stochastic computer simulation of forest biomass logistics in Greece , 1996 .

[11]  G. A. Mendoza,et al.  A two-stage decision model for log bucking and allocation , 1986 .

[12]  R. Gardner Alternative eucalypt species for Zululand: Seven year results of site: species interaction trials in the region , 2001 .

[13]  George Kanawaty Introduction to work study. 4th revised edition , 1992 .

[14]  J. D. Johannes,et al.  Systems Simulation: The Art and Science , 1975, IEEE Transactions on Systems, Man, and Cybernetics.

[15]  Alan Christopher Hansen,et al.  Simulation modeling of sugarcane harvest-to-mill delivery systems , 2002 .

[16]  Randall P. Sadowski,et al.  Introduction to Simulation Using Siman , 1990 .

[17]  Philip A. Araman,et al.  A Simulation Model for a Hardwood Sawmill Decision Support System , 1992 .

[18]  Colin Smith Assessing the compaction susceptibility of South African forestry soils. , 1997 .

[19]  N. Fenton The Personal Interview , 1934 .

[20]  Lars Eliasson,et al.  Simulation of thinning with a single-grip harvester , 1999 .

[21]  W. D. Greene,et al.  Microcomputer-Based Software for Analyzing Harvesting Systems , 1988 .

[22]  C. R. Silversides,et al.  Operational Efficiency in Forestry , 1988, Forestry Sciences.

[23]  S. U. Randhawa,et al.  Timber harvesting analyses and design using simulation. , 1990 .

[24]  John Sessions,et al.  Tree Bucking for Optimal Stand Value with Log Allocation Constraints , 1989 .

[25]  John Nelson,et al.  Forest-level models and challenges for their successful application , 2003 .

[26]  Ben du Toit,et al.  The effect of harvesting operations, slash management and fertilisation on the growth of a Eucalyptus clonal hybrid on a sandy soil in Zululand, South Africa , 2005 .

[27]  Martin Ziesak,et al.  Simulation technique for modelling the production chain in forestry , 2004, European Journal of Forest Research.

[28]  R. Sands,et al.  Compaction of forest soils. A review , 1980 .

[29]  T. C. Maness,et al.  The influence of sawkerf and target size reductions on sawmill revenue and volume recovery. , 1995 .

[30]  L. D. Kellogg,et al.  Simulating a harvester-forwarder softwood thinning : A software evaluation , 1997 .

[31]  Randall P. Sadowski,et al.  Simulation with Arena , 1998 .

[32]  Chris B. LeDoux,et al.  Estimating and validating harvesting system production through computer simulation , 1993 .

[33]  Jingxin Wang,et al.  An Interactive Simulation System for Modeling Stands, Harvests, and Machines , 1999 .

[34]  Bruce R. Hartsough,et al.  Harvesting cost model for small trees in natural stands in the Interior Northwest , 2001 .

[35]  J. Banks,et al.  Handbook of Simulation , 1998 .

[36]  M. Wimberly,et al.  Digital Forestry: A White Paper , 2005, Journal of Forestry.

[37]  J. Kenneth Pearce,et al.  Logging and Pulpwood Production , 1972 .

[38]  Steven Kewley,et al.  Mechanical Feller-buncher felling: An example study on timber value recovery in South Africa , 2001 .

[39]  T. W. Reisinger,et al.  Evaluating Terrain for Harvesting Equipment Selection , 1990 .

[40]  Jerry Banks,et al.  Handbook of simulation - principles, methodology, advances, applications, and practice , 1998, A Wiley-Interscience publication.

[41]  Li Yang,et al.  Validation of stochastic traffic flow model with microscopic traffic simulation , 2011, 2011 IEEE International Conference on Automation Science and Engineering.

[42]  Frederick S. Hillier,et al.  Introduction of Operations Research , 1967 .

[43]  Chris B. LeDoux,et al.  Estimating and Validating Ground-Based Timber Harvesting Production Through Computer Simulation , 2003 .

[44]  Barry Render,et al.  Introduction to management science , 1992 .

[45]  Arne Thesen,et al.  Simulation for Decision Making , 1992 .