A mathematical model and genetic algorithm-based approach for parallel two-sided assembly line balancing problem-Reference-Cited by-同舟云学术

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A mathematical model and genetic algorithm-based approach for parallel two-sided assembly line balancing problem

Published:2015-04-27 Issue:11 Volume:26 Page:874-894
ISSN:0953-7287
Container-title:Production Planning & Control
language:en
Short-container-title:Production Planning & Control

Author:

Kucukkoc Ibrahim¹²,Zhang David Z.¹

Affiliation:

1. College of Engineering, Mathematics and Physical Sciences, University of Exeter, Streatham Campus, North Park Road, EX4 4QF Exeter, England, UK

2. Faculty of Engineering and Architecture, Department of Industrial Engineering, Balikesir University, Cagis Campus, 10145 Balikesir, Turkey

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/09537287.2014.994685

Reference54 articles.

1. A hybrid genetic algorithm for mixed model assembly line balancing problem with parallel workstations and zoning constraints

2. A COMPUTER METHOD OF SEQUENCING OPERATIONS FOR ASSEMBLY LINES

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

4. Two-sided assembly line balancing using an ant-colony-based heuristic

5. Genetic algorithm for balancing reconfigurable machining lines

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1. Exact and approximation heuristic of mixed model assembly line balancing with parallel lines and task-dependent tooling consideration;Computers & Industrial Engineering;2024-07

2. Heuristic and metaheuristic procedures for the Parallel Assembly Lines Balancing Problem with multi-line workstations and buffer sizing;Computers & Operations Research;2024-06

3. Balancing parallel assembly lines with human-robot collaboration: problem definition, mathematical model and tabu search approach;International Journal of Production Research;2024-05-21

4. Applying Artificial Intelligence in the Supply Chain;The Palgrave Handbook of Supply Chain Management;2024

5. Nature-Inspired and Evolutionary Techniques for Automation;Springer Handbook of Automation;2023

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