ดาวน์โหลด All Proceeding - AS Nida
ดาวน์โหลด All Proceeding - AS Nida
ดาวน์โหลด All Proceeding - AS Nida
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
Table 3 (Continued)<br />
Option<br />
Option 4<br />
(Simulation)<br />
Resources consumption change of each option<br />
Decrease Increase<br />
1. Increased 3LPG forklift (New<br />
installation only)<br />
2. Building a warehouse 5 at the storage<br />
capacity of 1500 tons<br />
Distance running of<br />
the truck decreased<br />
8,963,350 meters,<br />
fuel decreased<br />
112,850.5 baht<br />
Table 3 showed that all options, the distance running of the<br />
truck decreased all alternative, but when used economic analysis, the<br />
results showed that payback period was 50 years. (Option 2) However<br />
the payback period was 5 years and 4 years for option 3, and 4<br />
respectively. (LPG Forklift)<br />
4. Conclusion<br />
The analysis by linear programming, compared to<br />
processing at the current storage, found that the method of linear<br />
programming decreased the distance fuel cost. Linear programming will<br />
be shown all the distance stored in 1-month run of each type of storage<br />
for each day of the inventory. However, linear programming can not<br />
display the fuel used from the storage. The linear programming method<br />
decreased the distance to 3,586,302 meters and the lower fuel 43,017.49<br />
baht, as 31.77%.<br />
When analyzed by comparison current storage with the<br />
simulation programming found that a new alternative model that create<br />
by the simulation program decreased the distance and fuel cost. The<br />
simulation program can calculate the distance of movement of goods<br />
and cost of fuel inventory, shows each day in each warehouse inventory<br />
as well as linear programming.<br />
When analyzed results the 4 options of simulation found that<br />
option 3 and 4 was the most effective. Then, evaluation of all criteria<br />
found that the best choice was option 3.<br />
Reference<br />
[1] Karun Kunponphai, the formatting of transport limestone in<br />
cement production using linear programming and queuing<br />
systems, Master Thesis, King Mongkut's Institute of Technology,<br />
Bangkok, 2547.<br />
[2] Preecha Lahkun, creating a model of linear programming to<br />
find the lowest cost to melt aluminum, Master Thesis,<br />
University of Sukhothai Thammathirat Royal Works, 2550.<br />
186<br />
[3] Phakkhanart Srimahasup, finding the best position to place of<br />
storage components in the warehouse so that the total<br />
distance of moving parts, the whole system under the<br />
program Excel Solver, independent study. University of<br />
Technology Thonburi, 2552.<br />
[4] Suwanlapha Sangprakye,Use Optimization applied to the<br />
operating costs for transporting mail, Master Thesis,<br />
University of Technology Thonburi, 2542.<br />
[5] Charan Chanthalakana, statistical analysis and research plan.<br />
Bangkok<br />
[6] Wichit Tanthasuth and Faculty grant, Work Study. Bangkok<br />
[7] Wichit Tanthasuth and Faculty grant, research operations.<br />
Bangkok<br />
[8] Wayne L. Winston. 1997. User's Guide for LINDO and<br />
LINGO, Windows Versions. Duxbury Press.<br />
[9] Taha, H. M., Operations Research an Introduction, Pearson<br />
Education, Inc., 2007<br />
[10] Kelton W.D., Sadodowski R.P. and Sturrock D.T., Simulation<br />
with ARENA, McGraw-Hill, 2003<br />
[11] Law, A.M. & Kelton, W.D. Simulation Modeling and Analysis.<br />
(2nd ed). New York: McGraw-Hill, Inc. 1991<br />
[12] Shannon, Robert E., System Simulation the Art and Science,<br />
Prentice-Hall Inc., 1975<br />
[13] Pegden C. D., Shannon R. E., Shadowski R. P., Introduction to<br />
Simulation Using SIMAN, McGraw-Hill, 1995<br />
[14] Seila A.F., Ceric V., and Tadakamalla P., Applied Simulation<br />
Modeling, Thomson Learning, Inc.,