Applying two-phase adaptive genetic algorithm to solve multi-model assembly line balancing problems in TFT–LCD module process-Reference-Cited by-同舟云学术

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Applying two-phase adaptive genetic algorithm to solve multi-model assembly line balancing problems in TFT–LCD module process

Published:2019-07 Issue: Volume:52 Page:86-99
ISSN:0278-6125
Container-title:Journal of Manufacturing Systems
language:en
Short-container-title:Journal of Manufacturing Systems

Author:

Chen James C.,Chen Yin-Yann,Chen Tzu-Li,Kuo Yi-Hsin

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Hardware and Architecture,Software,Control and Systems Engineering

Reference43 articles.

1. A hybrid algorithm for allocating tasks, operators, and workstations in multi-manned assembly lines;Chen;J Manuf Syst,2017

2. Resource-constrained assembly line balancing problems with multi-manned workstations;Chen;J Manuf Syst,2018

3. Assembly line balancing with station paralleling;Ege;Comput Ind Eng,2009

4. A new bidirectional heuristic for the assembly line balancing problem;Yeh;Comput Ind Eng,2009

5. A simulated annealing approach for multi-manned assembly line balancing problem type II;Roshani;IFAC-PapersOnLine,2015

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4. Enhancing efficiency and adaptability in mixed model line balancing through the fusion of learning effects and worker prerequisites;International Journal of Industrial Engineering Computations;2024

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