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Improve Line Balancing for Car seat Production
1 2* 1,2
E-mail: [email protected]*
KuchainPriwan1Chonnanath Kritworakarn2* 1,2 Department ofIndustrial Engineering, Faculty of Engineering, Chiang Mai University
E-mail:[email protected]*
12
200.15 44%
8
110.04 16% 4
Abstract
The objective of this study is to solve a bottle neck problem in a production line. The problem occurs because of high
different of production time between the highest and the lowest work stations. Therefore, it causes a waiting time
problem in consecutive. A car seat production plant is studied. There are 12 work stations in a car seat production line.
The different of production time in the line between the highest and the lowest work stations is 200.15 seconds. The
balance delay of production line is 44%. In order to solve this problem, Line Balancing technique and largest candidate
rule method are applied. Results are shown that a different of production time in the line between the highest and the
lowest work stations is reduced to 110.04 seconds and also reduced the balance delay to 16%. Furthermore, 4 workers
in the production line are reduced.
Keywords: Line Balance technique, car seat production, production time improvement
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1.
1
2.
[1], [2]
[3] [4]
3.
, ,
830
B229 1
4.
1 (1 car set)
2 2 12 car set 1
takt time (tc)
Takt time = / (1)
Takt time = 3600 / 12 = 300 1
12 1 12
1.5
1
( 18%) 1 car set
(twc) 2,015
2
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2 takt time
2 3 (294.20 ) 9
(94.05 )
200.15
1. (Efficiency)
2. (Balance Delay)
1. (Te)
2.
3.
(Te) Takt time
4.
Takt time
8
3
3
takt time
4
= x100 x Takt time
= 2015 x100= 55.97% 12x 300
= nTc - Twc
nTc
= 12(300) � 2015= 44 %
12(300)
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4 takt time
1. (Efficiency)
2. (Balance Delay)
5.
1)
200.15
110.04 50.08% 2)
4 12 8
3)
55.97% 83.95% 44% 16% 4)
4 12 8
6.
multi-objective differential evolution
algorithm [5], genetic algorithm [6], multi-colony ant algorithm [7]
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Productivity Improvement in Breweries Through Line
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Issue 5, 475-486.
= 2015 x100= 83.95% 8 x 300
= 8(300) � 2015= 16% 8(300)
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[3] . 2553.
.
. , , 13-15 2553: 376.
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