Scheduling with job-splitting considering learning and the vital-few law
10.1016/j.cor.2017.02.011
Saved in:
Main Authors: | Liu, Changchun, Wang, Chenjie, Zhang, Zhi-hai, Zheng, Li |
---|---|
Other Authors: | INST OF OPERATIONS RESEARCH & ANALYTICS |
Format: | Article |
Language: | English |
Published: |
PERGAMON-ELSEVIER SCIENCE LTD
2019
|
Subjects: | |
Online Access: | https://scholarbank.nus.edu.sg/handle/10635/155203 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Language: | English |
Similar Items
-
Minimizing the total completion time for parallel machine scheduling with job splitting and learning
by: Wang, Chenjie, et al.
Published: (2019) -
A comparative study of algorithms for the flowshop scheduling problem
by: Liu, S., et al.
Published: (2014) -
Anti-spoofing few-shot learning model for face recognition
by: Ang, Ting Feng
Published: (2024) -
Scheduling customer orders on unrelated parallel machines to minimise total weighted completion time
by: Li, Haidong, et al.
Published: (2020) -
Asymptotically optimal schedules for single-server flow shop problems with setup costs and times
by: Iravani, S.M.R., et al.
Published: (2013)