Multi-factory Cellular Manufacturing Cell Formation and Product Scheduling via Genetic Algorithm
Document Type
Conference Proceeding
Publication Date
8-23-2021
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.
Identifier
85117012297 (Scopus)
ISBN
[9781665418737]
Publication Title
IEEE International Conference on Automation Science and Engineering
External Full Text Location
https://doi.org/10.1109/CASE49439.2021.9551488
e-ISSN
21618089
ISSN
21618070
First Page
1207
Last Page
1212
Volume
2021-August
Grant
19YJA630078
Fund Ref
Natural Science Foundation of Zhejiang Province
Recommended Citation
Wang, Jufeng; Liu, Chunfeng; and Zhou, Meng Chu, "Multi-factory Cellular Manufacturing Cell Formation and Product Scheduling via Genetic Algorithm" (2021). Faculty Publications. 3869.
https://digitalcommons.njit.edu/fac_pubs/3869
