ดาวน์โหลด All Proceeding - AS Nida
ดาวน์โหลด All Proceeding - AS Nida
ดาวน์โหลด All Proceeding - AS Nida
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Objective Function<br />
The purpose of this problem is the minimum distance.<br />
Equation of restrictions (Constrains)<br />
Each day i have volume of product x type j which contains<br />
products from location k to warehouse n must not exceed the amount of<br />
warehouse capacity.<br />
Each day i have volume of product x type j which contains<br />
products from location k to warehouse n must have volume equal of<br />
warehouse V capacity.<br />
2.4.2 Simulation Programming<br />
The research also study by the Arena’s simulation method.<br />
The value to the start of used in the simulation by collected the<br />
appropriate amount of data and tested their distribution before using.<br />
The results prepare the alternative 4 options as follows:<br />
Table 2 options for improving warehouse<br />
Detail<br />
Option 1 Require to store in a warehouse with a short distance before it<br />
was full, Using diesel B5 fuel Folk Lift.<br />
Option 2 Build a new warehouse 5 at the storage capacity of 1500 tons.<br />
Using diesel B5 fuel Folk Lift.<br />
Option 3 Require to store in a warehouse with a short distance before it<br />
was full, The Folk Lift installs LPG gas.<br />
Option 4 Build a new warehouse near warehouse 5 at the storage capacity<br />
of 1500 tons. The Folk Lift installs LPG gas.<br />
Figure 2 Arena’s Model shows the location of the storage area<br />
Figure 2 Arena’s Model shows the location of the storage<br />
area of the product that starting from the packed location on each<br />
production line. The simulation in this model set the program to select<br />
(1)<br />
(2)<br />
(3)<br />
185<br />
stores in the warehouse with the shortest distance first. Then, consider<br />
the storage capacity for fill up. If the storage capacity in the shortest<br />
distance was full, the next warehouses will be selected<br />
3. Results<br />
3.1 Linear Programming Result<br />
Figure 3 Graph comparing the distance of storage<br />
From the graph comparing the distance of storage shows that<br />
the new linear program, the total distance to stock area was reduced<br />
from the existing as following: January 662,196 meters, February<br />
766,860 meters, March 980,731 meters, April and May 592,999 meters.<br />
The calculation of shipping used only one way transport. Equipment<br />
was folk lift truck with the consumption rate is 3 miles per liter of fuel<br />
is diesel B 5, or 1 km fuel consumption 12.01 baht (including<br />
consumption and maintenance forklift).<br />
3.2 Simulation Programming Result<br />
Table 3 Resources consumption change of each option<br />
Option<br />
Linear<br />
Programming<br />
Option 1<br />
(Simulation)<br />
Option 2<br />
(Simulation)<br />
Option 3<br />
(Simulation)<br />
Resources consumption change of each option<br />
Decrease Increase<br />
Distance running of the truck decreased<br />
3,586,302 meters, fuel decreased<br />
-<br />
43,071.49 baht<br />
Distance running of the truck decreased<br />
7,548,800 meters, fuel decreased<br />
-<br />
90,661.14 baht<br />
Building a new warehouse 5 at the storage<br />
capacity of 1500 tons<br />
Increased 3LPG forklift (New installation<br />
only<br />
Distance running of<br />
the truck decreased<br />
8,963,350 meters,<br />
fuel decreased<br />
107,974.09 baht<br />
Distance running of<br />
the truck decreased<br />
7,548,800 meters, fuel<br />
decreased 98,723.45<br />
baht