A Simulation and Experiments of Rapeseed Logistics Supply System Based on Flexsim Software - Advanced Research on Computer Education, Simulation and Modeling - page 210

variables. Figure 1 shows that the harvester is busy that processing time is more than
idle time and the weighing location is idle most of time, and the checking quality is
basically same leisure and working time, so it is considerable to combine the weigh
location and checking quality. The unload location idle time is more than processing
time due to there are four unloading location in the company which means four
warehouse doors used.
Fig. 1. The average time proportion of vehicle, harvesters, and company working lacation
The productivity of loading is grown in the experiments by changing the loading time
from normal (10, 2) to normal (5, 1), which is available by using advanced loading
equipments. Figure 5 shows the idle rate variety with the reducing number of trucks.
Fig. 2. The idle rate variety with the reducing number of trucks
Figure 2 shows that the proportion of idle in the total time reduced sharply when
the method of transportation changed from one vehicle charge one field to dispatcher
managing vehicles, the idle rate drop from 55.05 to 32.8. Whereas in the model
running process the vehicle working time are imbalanced, that one start to transport
only when the other vehicle is busy working, so continue to reduce the number of
vehicles. When the number of vehicle reduced to four all the vehicle run at the same
time and the idle rate is 10.86%. When the number of vehicle reduced to 3 there is
flow-item blocked occurred. So there are 4 trucks appropriate configuration for
company to transport rapeseed from 10 different fields. According this proportion, 10
trucks can meet the transport requirement of 25 contract farmers of the plant located
within 30km.