@inproceedings{e28366f7d2b9432d975151bb07201d5e,
title = "Multi-factory Cellular Manufacturing Cell Formation and Product Scheduling via Genetic Algorithm",
abstract = "The work aims to solve a cell formation and product scheduling problem by considering dual-resource setting, supply chain, profit maximization, and operational error rate in multi-factory cellular manufacturing systems. This problem is important and highly challenging. To solve it, this work proposes a genetic algorithm with novel initialization. Computational experiments are conducted to show that the proposed algorithm has better performance than conventional genetic algorithm without the proposed heuristic given the same computational budget.",
keywords = "Cell formation, Cellular manufacturing system, Genetic Algorithm, Scheduling, Supply chain",
author = "Jufeng Wang and Chunfeng Liu and Zhou, {Meng Chu}",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 17th IEEE International Conference on Automation Science and Engineering, CASE 2021 ; Conference date: 23-08-2021 Through 27-08-2021",
year = "2021",
month = aug,
day = "23",
doi = "10.1109/CASE49439.2021.9551488",
language = "English (US)",
series = "IEEE International Conference on Automation Science and Engineering",
publisher = "IEEE Computer Society",
pages = "1207--1212",
booktitle = "2021 IEEE 17th International Conference on Automation Science and Engineering, CASE 2021",
address = "United States",
}