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ดาวน์โหลด All Proceeding - AS Nida

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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.,

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