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1
A general view of big data and machine learning
Görçün, Özhan
;
Küçükönder, Hande
- In:
Logistics 4.0 and future of supply chains
,
(pp. 49-61)
.
2022
Persistent link: https://www.econbiz.de/10012820109
Saved in:
2
Dynamic set-up rules for hybrid flow shop scheduling with parallel batching machines
Rossi, Andrea
;
Pandolfi, Andrea
;
Lanzetta, Michele
- In:
International journal of production research
52
(
2014
)
13
,
pp. 3842-3857
Persistent link: https://www.econbiz.de/10010382874
Saved in:
3
Bi-objective scheduling on two dedicated processors
Kacem, Adel
;
Dammak, Abdelaziz
- In:
European journal of industrial engineering : EJIE
13
(
2019
)
5
,
pp. 681-700
Persistent link: https://www.econbiz.de/10012144488
Saved in:
4
Scheduling twin robots in a palletising problem
Thomasson, Oliver
;
Battarra, Maria
;
Erdoğan, Güneş
; …
- In:
International journal of production research
56
(
2018
)
1/2
,
pp. 518-542
Persistent link: https://www.econbiz.de/10011876621
Saved in:
5
An adaptive penalty guided genetic algorithm for scheduling parallel batch processing machines
Xu, Shubin
- In:
International journal of applied management science
10
(
2018
)
3
,
pp. 247-268
Persistent link: https://www.econbiz.de/10011969051
Saved in:
6
A method combining rules with genetic algorithm for minimizing
makespan
on a batch processing machine with preventive maintenance
Huang, Jingying
;
Wang, Liya
;
Jiang, Zhibin
- In:
International journal of production research
58
(
2020
)
13
,
pp. 4086-4102
Persistent link: https://www.econbiz.de/10012266009
Saved in:
7
Evaluation of a hybrid genetic tabu search framework on job shop scheduling benchmark problems
Meeran, S.
;
Morshed, M. S.
- In:
International journal of production research
52
(
2014
)
19
,
pp. 5780-5798
Persistent link: https://www.econbiz.de/10010424871
Saved in:
8
A novel feature selection for evolving compact dispatching rules using genetic programming for dynamic job shop scheduling
Shady, Salama
;
Kaihara, Toshiya
;
Fujii, Nobutada
; …
- In:
International journal of production research
60
(
2022
)
13
,
pp. 4025-4048
Persistent link: https://www.econbiz.de/10013499329
Saved in:
9
Real time selection of scheduling rules and knowledge extraction via dynamically controlled data mining
Metan, Gokhan
;
Sabuncuoglu, Ihsan
;
Pierreval, Henri
- In:
International journal of production research
48
(
2010
)
23/24
,
pp. 6909-6938
Persistent link: https://www.econbiz.de/10008758951
Saved in:
10
Learning dispatching rules for single machine scheduling with dynamic arrivals based on decision trees and feature construction
Jun, Sungbum
;
Lee, Seokcheon
- In:
International journal of production research
59
(
2021
)
9
,
pp. 2838-2856
Persistent link: https://www.econbiz.de/10012516264
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