Applying Meta-Heuristics Algorithm to Solve Assembly Line Balancing Problem with Labor Skill Level in Garment Industry

Authors

Gary Yu-Hsin Chen^1, , Ping-Shun Chen², Jr-Fong Dang^{3, *}, Sung-Lien Kang⁴, Li-Jen Cheng²

¹Department of Logistics Management, National Kaohsiung University of Science and Technology, Yanchao District, Kaohsiung City, 824, Taiwan, Republic of China

²Department of Industrial and Systems Engineering, Chung Yuan Christian University, Chung Li District, Taoyuan City, 320314, Taiwan, Republic of China

³Department of Industrial Engineering and Systems Management, Feng Chia University, Xitun District, Taichung City, 40724, Taiwan, Republic of China

⁴Division of Library and Information Affairs, Chihlee University of Technology, Banqiao District, New Taipei City, 220305, Taiwan, Republic of China

^*Corresponding author. Email: jfdang@fcu.edu.tw

DOI

10.2991/ijcis.d.210420.002How to use a DOI?

Keywords

Assembly line balancing problem; Toyota sewing system; Tabu search; Simulated annealing

Abstract

This research investigates how to properly place garment industry workers to work stations in the assembly line to achieve a more balanced production and to reduce the production cycle time. We simulate the assembly line balancing problem via staff assignments. In our research, we conduct a comparative case study and implement our own simulation. The experiments are designed with both single- and multitasking modes. Each experiment is carried out for 10 runs. Finally, we compare our results obtained among constructive greedy, tabu search and simulated annealing. We find that tabu search algorithm is better than simulated annealing on the problem of staff assignment. Meanwhile, we also observe that if we adjust 30% labor force from single task into multitasking mode, the assembly line performance deteriorates. This case is accentuated for workers with disparate skill levels for different tasks.

Copyright

© 2021 The Authors. Published by Atlantis Press B.V.

Open Access

This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Gary Yu-Hsin Chen
AU  - Ping-Shun Chen
AU  - Jr-Fong Dang
AU  - Sung-Lien Kang
AU  - Li-Jen Cheng
PY  - 2021
DA  - 2021/04/26
TI  - Applying Meta-Heuristics Algorithm to Solve Assembly Line Balancing Problem with Labor Skill Level in Garment Industry
JO  - International Journal of Computational Intelligence Systems
SP  - 1438
EP  - 1450
VL  - 14
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.210420.002
DO  - 10.2991/ijcis.d.210420.002
ID  - Chen2021
ER  -