A modified multi-objective genetic algorithm for two-sided assembly line re-balancing problem of a shovel loader-Reference-Cited by-同舟云学术

A modified multi-objective genetic algorithm for two-sided assembly line re-balancing problem of a shovel loader

Published:2017-11-24 Issue:9 Volume:56 Page:3043-3063
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Zhang Yahui¹,Hu Xiaofeng¹,Wu Chuanxun¹

Affiliation:

1. Institute of Intelligent Manufacturing and Information Engineering, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2017.1402136

Reference67 articles.

1. An approach to find task sequence for re‐balancing of assembly lines

2. Mathematical models for parallel two-sided assembly line balancing problems and extensions

3. A multi objective optimization approach for flexible job shop scheduling problem under random machine breakdown by evolutionary algorithms

4. Balancing two-sided assembly lines: a case study

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