Proceedings of the International Conference on Emerging Challenges: Strategic Adaptation in The World of Uncertainties (ICECH 2022)

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Applying Genetic Algorithm for Line Balancing Problem in Garment Manufacture

Authors
Hoa Nguyen Thi Xuan1, *, Anh Vu Hai1, Anh Nguyen Quang2
1School of Economics and Management, Hanoi University of Science and Technology, Hanoi, Vietnam
2School of Information and Communication Technology, Hanoi University of Science and Technology, Hanoi, Vietnam
*Corresponding author. Email: hoa.nguyenthixuan@hust.edu.vn
Corresponding Author
Hoa Nguyen Thi Xuan
Available Online 23 May 2023.
DOI
10.2991/978-94-6463-150-0_15How to use a DOI?
Keywords
Line balancing; genetic algorithms; efficiency
Abstract

The garment industry is one of the most intensely competitive in the world, and productivity is essential to sustaining that competitiveness. As one of the sectors that utilizes a large number of people and various activities at workstations, the garment industry is one that places a high priority on increasing productivity and reducing production costs. One of the biggest problems the garment sector has is line balance, which arises from the way the work is organized on the line and the coordination between workers, machines, and stages. Therefore, in an effort to increase productivity and reduce production costs, the line balancing problem is posed. In order to handle the nonlinear programming challenge, the GA heuristics technique was employed in this study. This study was tested with data from a clothing company to determine the efficacy of line balancing. Based on the results of line balancing, line managers can quickly balance lines to to minimize production cycle time and utilize workforce on the assembly line.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Emerging Challenges: Strategic Adaptation in The World of Uncertainties (ICECH 2022)
Series
Advances in Economics, Business and Management Research
Publication Date
23 May 2023
ISBN
978-94-6463-150-0
ISSN
2352-5428
DOI
10.2991/978-94-6463-150-0_15How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Hoa Nguyen Thi Xuan
AU  - Anh Vu Hai
AU  - Anh Nguyen Quang
PY  - 2023
DA  - 2023/05/23
TI  - Applying Genetic Algorithm for Line Balancing Problem in Garment Manufacture
BT  - Proceedings of the International Conference on Emerging Challenges: Strategic Adaptation in The World of Uncertainties (ICECH 2022)
PB  - Atlantis Press
SP  - 203
EP  - 220
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-150-0_15
DO  - 10.2991/978-94-6463-150-0_15
ID  - NguyenThiXuan2023
ER  -