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Improve Line Balancing for Car seat Production

1 2* 1,2

E-mail: chonnanath.krit@cmu.com*

KuchainPriwan1Chonnanath Kritworakarn2* 1,2 Department ofIndustrial Engineering, Faculty of Engineering, Chiang Mai University

E-mail:chonnanath.krit@cmu.com*

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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= 2015 x100= 83.95% 8 x 300

= 8(300) � 2015= 16% 8(300)

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