A Simulation and Experiments of Rapeseed Logistics Supply System Based on Flexsim Software - Advanced Research on Computer Education, Simulation and Modeling - page 212

Figure 4 shows that the average idle rates reduce with the increasing distance rage
and there is a blockage occurred when the distance ranges reach 40km and the
blocked rate occurred 38.87%. When a new truck joined the average idle rate of
vehicles back to 32.89%, then continue to increase the distance range and the average
idle rate reduce again. The new blockage occurred again until the distance range get
to 70km and the blockage rate reach to 28.87% when the distance range is 80km.
According to the real world the contract farmers are different every year and
the locations change too. So the number of contract farmers and the distance
ranges change at the same time. So the experiments of this issue remain to be
further studied.
5 Conclusion
Studies show that Flexsim simulation techniques can be efficiently used to model
complex agricultural products logistics supply systems. Particularly it illustrates how
the simulation experiments of different scenarios can detect efficiencies of facilities
and bottlenecks of processes. The analysis of the present study has wider applicability
for the similar supply systems.
References
1. Caputo, A.C., Palumbo, M., Pelagagge, P.M., Scacchia, F.: Economics of biomass energy
utilization in combustion and gasification plants: effects of logistic variables. Biomass and
Bio-energy 28, 35-51 (2005)
2. Gunnarsson, C., Lena, V., Per-Anders, H.: Logistics for forage harvest to biogas
production-Timeliness, capacities and costs in a Swedish case study. Biomass and Bio-
energy 32, 1263-1273 (2008)
3. Hobson, R.N., Bruce, D.M.: Seed loss when cutting a standing crop of oilseed rape with
two type of combine harvester header. Bio-systems Engineering 81(3), 281-286 (2002)
4. Iannoni, A.P., Morabito, R.: A discrete simulation analysis of a logistics supply system.
Transportation Research Part E 42, 191-210 (2006)
5. Kurt, A., Rosentrater, E.K.: Modeling the effects of pelleting on the logistics of distillers
grains shipping. Bio-resource Technology 100, 6550-6558 (2009)
6. Le Gal, P.Y., Le Masson, J., Bezuidenhout, C.N., Lagrange, L.F.: Coupled modeling of
sugarcane supply planning and logistics as a management tool. Computers and Electronics
in Agriculture 68, 168-177 (2009)
7. Rentizelas, A.A., Tolis, A.J., Tatsiopoulos, I.P.: Logistics issues of biomass: The storage
problem and the multi-biomass supply chain. Renewable and Sustainable Energy
Reviews 13, 887-894 (2009)
8. Ravula, P.R., Robert, D.G., John, S.C.: Cotton logistics as a model for a biomass
transportation system. Biomass and Bio-energy 32, 314-325 (2008)
9. Sokhansanj, S., Kumar, A., Anthony, F.T.: Development and implementation of integrated
biomass supply analysis and logistics model(IBSAL). Biomass and Bio-energy 30, 838-
847 (2006)
10. Tatsiopoulos, I.P., Tolis, A.J.: Economic aspects of the cotton-stalk biomass logistics and
comparison of supply chain methods. Biomass and Bio-energy 24, 199-214 (2003)