Two-sided resource-constrained assembly line balancing problem: a new mathematical model and an improved genetic algorithm-Reference-Cited by-同舟云学术

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Two-sided resource-constrained assembly line balancing problem: a new mathematical model and an improved genetic algorithm

Published:2024-10 Issue: Volume:90 Page:101662
ISSN:2210-6502
Container-title:Swarm and Evolutionary Computation
language:en
Short-container-title:Swarm and Evolutionary Computation

Author:

Feng Linhao,Wang Yesong^ORCID,Fang Xifeng,Yu Hang,Zhang Shengwen

Publisher

Elsevier BV

Reference41 articles.

1. Multi-objective discrete particle swarm optimisation algorithm for integrated assembly sequence planning and assembly line balancing;Ab Rashid;Proc. Inst. Mech. Eng., Part B.,2016

2. An exact constraint programming based procedure for the multi-manned assembly line balancing problem;Possan Junior;Comput. Oper. Res,2024

3. Assembly line balancing problem;Fathi;J. Modell. Manage.,2018

4. Modeling and analyzing sequence stability in flexible automotive production systems;Lehmann;Flex. Serv. Manuf. J.,2020

5. An evolutionary genetic algorithm for a multi-objective two-sided assembly line balancing problem: a case study of automotive manufacturing operations;Kang;Qua.l Technol. Quant. Manag.,2022

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