Jaya algorithm for rescheduling flexible job shop problem with machine recovery
Document Type
Conference Proceeding
Publication Date
10-1-2019
Abstract
This work addresses on flexible job shop rescheduling problem with machine recovery. The goal is to minimize the maximum machine workload and instability simultaneously. As an almost parameter-free metaheuristic, Jaya is used and developed to solve it. A local search operator and an initializing rule are developed for improving Jaya's performance. Ten cases from a remanufacturing company are solved to verify the proposed Jaya's performance. The comparisons and discussions show the effectiveness of the proposed Jaya for rescheduling flexible job shop with machine recovery.
Identifier
85076730887 (Scopus)
ISBN
[9781728145693]
Publication Title
Conference Proceedings IEEE International Conference on Systems Man and Cybernetics
External Full Text Location
https://doi.org/10.1109/SMC.2019.8914026
ISSN
1062922X
First Page
3660
Last Page
3664
Volume
2019-October
Grant
61503170
Fund Ref
National Natural Science Foundation of China
Recommended Citation
Gao, K. Z.; Zhou, M. C.; and Pan, Y. X., "Jaya algorithm for rescheduling flexible job shop problem with machine recovery" (2019). Faculty Publications. 7317.
https://digitalcommons.njit.edu/fac_pubs/7317
