Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)

Flexible job shop scheduling strategy with uncertain processing time

Authors
Bo Bao, Tifang Li, Bo Zhang
Corresponding Author
Bo Bao
Available Online May 2017.
DOI
https://doi.org/10.2991/icmeit-17.2017.83How to use a DOI?
Keywords
uncertain processing time, Flexible job shop scheduling, distinct due window
Abstract
The processing time is one of the most common uncertain factors in the workshop production, which has a significant influence on the scheduling of production. In order to address the flexible job shop scheduling problem with uncertain processing time, a flexible job shop scheduling combined strategy is proposed. The fuzzy scheduling model with time windows was established based on fuzzy programming theory, which is then transformed into distinct scheduling model by using the algorithm of maximizing the membership function of middle value, two rescheduling methods corresponding to tardiness disturbance was proposed, and the genetic algorithm was used for optimization. The feasibility and effectiveness of the scheduling method and algorithm are verified by simulation experiment.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)
Part of series
Advances in Computer Science Research
Publication Date
May 2017
ISBN
978-94-6252-338-8
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmeit-17.2017.83How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Bo Bao
AU  - Tifang Li
AU  - Bo Zhang
PY  - 2017/05
DA  - 2017/05
TI  - Flexible job shop scheduling strategy with uncertain processing time
BT  - 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)
PB  - Atlantis Press
SP  - 426
EP  - 433
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-17.2017.83
DO  - https://doi.org/10.2991/icmeit-17.2017.83
ID  - Bao2017/05
ER  -