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International journal of production research
Industrial and Commercial Training
199
The Learning Organization
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78
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73
CEPR Discussion Papers
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Management learning : the journal for managerial and organizational learning
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Human Resource Management International Digest
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Journal of management education : a publication of the Organizational Behavior Teaching Society
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Management learning : the international journal for managerial and organizational learning and development
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ECONIS (ZBW)
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1
A deep reinforcement learning based hyper-heuristic for modular production control
Panzer, Marcel
;
Bender, Benedict
;
Gronau, Norbert
- In:
International journal of production research
62
(
2024
)
8
,
pp. 2747-2768
Persistent link: https://www.econbiz.de/10014546488
Saved in:
2
Manual assembly learning, disability, and instructions : an industrial experiment
Peltokorpi, Jaakko
;
Hoedt, Steven
;
Colman, Thomas
; …
- In:
International journal of production research
61
(
2023
)
22
,
pp. 7903-7921
Persistent link: https://www.econbiz.de/10014383435
Saved in:
3
Deep reinforcement learning in production systems : a systematic literature review
Panzer, Marcel
;
Bender, Benedict
- In:
International journal of production research
60
(
2022
)
13
,
pp. 4316-4341
Persistent link: https://www.econbiz.de/10013499831
Saved in:
4
Deep reinforcement learning for solving steelmaking-continuous casting scheduling problems under time-of-use tariffs
Pan, Ruilin
;
Wang, Qiong
;
Cao, Jianhua
;
Zhou, Chunliu
- In:
International journal of production research
62
(
2024
)
1/2
,
pp. 404-420
Persistent link: https://www.econbiz.de/10014455144
Saved in:
5
A reinforcement learning driven two-stage evolutionary optimisation for hybrid seru system scheduling with worker transfer
Wu, Yuting
;
Wang, Ling
;
Chen, Jing-fang
;
Zheng, Jie
; …
- In:
International journal of production research
62
(
2024
)
11
,
pp. 3952-3971
Persistent link: https://www.econbiz.de/10014547156
Saved in:
6
Performance of deep reinforcement learning algorithms in two-echelon inventory control systems
Stranieri, Francesco
;
Stella, Fabio
;
Kouki, Chaaben
- In:
International journal of production research
62
(
2024
)
17
,
pp. 6211-6226
Persistent link: https://www.econbiz.de/10015053775
Saved in:
7
A sequential cross-product knowledge accumulation, extraction and transfer framework for machine learning-based production process modelling
Xie, Jiarui
;
Zhang, Chonghui
;
Sage, Manuel
;
Safdar, Mutahar
- In:
International journal of production research
62
(
2024
)
12
,
pp. 4181-4201
Persistent link: https://www.econbiz.de/10014547243
Saved in:
8
A transfer learning CNN-LSTM network-based production progress prediction approach in IIoT-enabled manufacturing
Liu, Changchun
;
Zhu, Haihua
;
Tang, Dunbing
;
Nie, Qingwei
; …
- In:
International journal of production research
61
(
2023
)
12
,
pp. 4045-4068
Persistent link: https://www.econbiz.de/10014372844
Saved in:
9
A multi-objective reinforcement learning approach for resequencing scheduling problems in automotive manufacturing systems
Leng, Jinling
;
Wang, Xingyuan
;
Wu, Shiping
;
Jin, Chun
; …
- In:
International journal of production research
61
(
2023
)
15
,
pp. 5156-5175
Persistent link: https://www.econbiz.de/10014381906
Saved in:
10
Reinforcement learning applied to production planning and control
Esteso, Ana
;
Peidro, David
;
Mula, Josefa
; …
- In:
International journal of production research
61
(
2023
)
16
,
pp. 5772-5789
Persistent link: https://www.econbiz.de/10014382357
Saved in:
11
A review on reinforcement learning algorithms and applications in supply chain management
Rolf, Benjamin
;
Jackson, Ilya
;
Müller, Marcel
;
Lang, …
- In:
International journal of production research
61
(
2023
)
20
,
pp. 7151-7179
Persistent link: https://www.econbiz.de/10014383285
Saved in:
12
A big-data-driven matching model based on deep reinforcement learning for cotton blending
Xia, Huosong
;
Wang, Yuan
;
Jasimuddin, Sajjad M.
;
Zhang, …
- In:
International journal of production research
61
(
2023
)
22
,
pp. 7573-7591
Persistent link: https://www.econbiz.de/10014383406
Saved in:
13
A concise guide to scheduling with learning and deteriorating effects
Pei, Jun
;
Zhou, Ya
;
Yan, Ping
;
Pardalos, Panos M.
- In:
International journal of production research
61
(
2023
)
6
,
pp. 2010-2031
Persistent link: https://www.econbiz.de/10014230547
Saved in:
14
End-to-end on-line rescheduling from Gantt chart images using deep reinforcement learning
Palombarini, Jorge Andrés
;
Martínez, Ernesto Carlos
- In:
International journal of production research
60
(
2022
)
14
,
pp. 4434-4463
Persistent link: https://www.econbiz.de/10013499854
Saved in:
15
Managing uncertainty in demand through inventory and workforce development
Valeva, Silviya
;
Hewitt, Mike
;
Thomas, Barrett W.
- In:
International journal of production research
59
(
2021
)
21
,
pp. 6507-6527
Persistent link: https://www.econbiz.de/10012652753
Saved in:
16
Managing uncertainty in demand through inventory and workforce development
Valeva, Silviya
;
Hewitt, Mike
;
Thomas, Barrett W.
- In:
International journal of production research
59
(
2021
)
21
,
pp. 6507-6527
Persistent link: https://www.econbiz.de/10012652757
Saved in:
17
Learning to schedule job-shop problems : representation and policy learning using graph neural network and reinforcement learning
Park, Junyoung
;
Chun, Jaehyeong
;
Kim, Sang Hun
;
Kim, …
- In:
International journal of production research
59
(
2021
)
11
,
pp. 3360-3377
Persistent link: https://www.econbiz.de/10012589157
Saved in:
18
Automated experience-based learning for plug and produce assembly systems
Scrimieri, Daniele
;
Antzoulatos, Nikolas
;
Castro, Elkin
; …
- In:
International journal of production research
55
(
2017
)
13/14
,
pp. 3674-3685
Persistent link: https://www.econbiz.de/10011671261
Saved in:
19
Intelligent scheduling of discrete automated production line via deep reinforcement learning
Shi, Daming
;
Fan, Wenhui
;
Xiao, Yingying
;
Lin, Tingyu
; …
- In:
International journal of production research
58
(
2020
)
11
,
pp. 3362-3380
Persistent link: https://www.econbiz.de/10012265402
Saved in:
20
Two types of learning effects on maintenance activities
Tarakci, Hakan
- In:
International journal of production research
54
(
2016
)
5/6
,
pp. 1721-1734
Persistent link: https://www.econbiz.de/10011498185
Saved in:
21
Effects of group size and learning on manual assembly performance : an experimental study
Peltokorpi, Jaakko
;
Niemi, Esko
- In:
International journal of production research
57
(
2019
)
2
,
pp. 452-469
Persistent link: https://www.econbiz.de/10012183681
Saved in:
22
A reinforcement learning based approach for multi-projects scheduling in cloud manufacturing
Chen, Shengkai
;
Fanga, Shuiliang
;
Tang, Renzhong
- In:
International journal of production research
57
(
2019
)
10
,
pp. 3080-3098
Persistent link: https://www.econbiz.de/10012193243
Saved in:
23
Optimising online review inspired product attribute classification using the self-learning particle swarm-based Bayesian learning approach
Maiyar, Lohithaksha M.
;
Cho, SangJe
;
Tiwari, Manoj Kumar
; …
- In:
International journal of production research
57
(
2019
)
10
,
pp. 3099-3120
Persistent link: https://www.econbiz.de/10012193244
Saved in:
24
Applying machine learning to the dynamic selection of replenishment policies in fast-changing supply chain environments
Priore, Paolo
;
Ponte, Borja
;
Rosillo, Rafael
;
Fuente, …
- In:
International journal of production research
57
(
2019
)
11
,
pp. 3663-3677
Persistent link: https://www.econbiz.de/10012193317
Saved in:
25
Governing the dynamics of multi-stage production systems subject to learning and forgetting effects : a simulation study
Biel, Konstantin
;
Glock, Christoph H.
- In:
International journal of production research
56
(
2018
)
10
,
pp. 3440-3462
Persistent link: https://www.econbiz.de/10011888085
Saved in:
26
Scheduling problems under learning effects : classification and cartography
Azzouz, Ameni
;
Ennigrou, Meriem
;
Said, Lamjed Ben
- In:
International journal of production research
56
(
2018
)
4
,
pp. 1642-1661
Persistent link: https://www.econbiz.de/10011872950
Saved in:
27
Lot streaming in the presence of learning in sublot-attached setup times and processing times
Mukherjee, Niloy J.
;
Sarin, Subhash Chander
;
Singh, Sanchit
- In:
International journal of production research
55
(
2017
)
5/6
,
pp. 1623-1639
Persistent link: https://www.econbiz.de/10011628309
Saved in:
28
Learning and screening errors in an EPQ inventory model for supply chains with stochastic lead time demands
Khan, Mehmood
;
Hussain, Matloub
;
Cárdenas-Barrón, …
- In:
International journal of production research
55
(
2017
)
15/16
,
pp. 4802-4815
Persistent link: https://www.econbiz.de/10011671867
Saved in:
29
A closed-loop supply chain with stochastic product returns and worker experience under learning and forgetting
Giri, B. C.
;
Glock, Christoph H.
- In:
International journal of production research
55
(
2017
)
22
,
pp. 6760-6778
Persistent link: https://www.econbiz.de/10011798257
Saved in:
30
A matheuristic for workforce planning with employee learning and stochastic demand
Valeva, Silviya
;
Hewitt, Mike
;
Thomas, Barrett W.
- In:
International journal of production research
55
(
2017
)
24
,
pp. 7380-7397
Persistent link: https://www.econbiz.de/10011798603
Saved in:
31
A factory-level dynamic operator allocation policy : the bubble allocation
Wang, Chenjie
;
Kang, Ningxuan
;
Zheng, Li
- In:
International journal of production research
54
(
2016
)
13/14
,
pp. 4240-4255
Persistent link: https://www.econbiz.de/10011508629
Saved in:
32
A fuzzy lot-sizing problem with two-stage composite human learning
Kazemi, Nima
;
Abdul-Rashid, Salwa Hanim
;
Shekarian, Ehsan
; …
- In:
International journal of production research
54
(
2016
)
15/16
,
pp. 5010-5025
Persistent link: https://www.econbiz.de/10011519107
Saved in:
33
Collaborative reinforcement learning for a two-robot job transfer flow-shop scheduling problem
Arviv, Kfir
;
Stern, Helman I.
;
Edan, Yael
- In:
International journal of production research
54
(
2016
)
3/4
,
pp. 1196-1209
Persistent link: https://www.econbiz.de/10011492125
Saved in:
34
Wafer fabrication yield learning and cost analysis based on in-line inspection
Tirkel, Israel
;
Rabinowitz, Gad
;
Price, David
; …
- In:
International journal of production research
54
(
2016
)
11/12
,
pp. 3578-3590
Persistent link: https://www.econbiz.de/10011497571
Saved in:
35
Modelling ramp-up curves to reflect learning : improving capacity planning in secondary pharmaceutical production
Hansen, Klaus R. N.
;
Grunow, Martin
- In:
International journal of production research
53
(
2015
)
18
,
pp. 5399-5417
Persistent link: https://www.econbiz.de/10011390386
Saved in:
36
Solving parallel machines job-shop scheduling problems by an adaptive algorithm
Gholami, Omid
;
Sotskov, Jurij Nazarovič
- In:
International journal of production research
52
(
2014
)
13
,
pp. 3888-3904
Persistent link: https://www.econbiz.de/10010382866
Saved in:
37
Selection policies for a multifunctional workforce
Nembhard, David A.
;
Bentefouet, Frank
- In:
International journal of production research
52
(
2014
)
16
,
pp. 4785-4802
Persistent link: https://www.econbiz.de/10010401786
Saved in:
38
Single-machine group scheduling problem considering learning, forgetting effects and preventive maintenance
Pan, Ershun
;
Wang, Guina
;
Xi, Lifeng
;
Chen, Lu
;
Han, Xiaole
- In:
International journal of production research
52
(
2014
)
19
,
pp. 5690-5704
Persistent link: https://www.econbiz.de/10010424990
Saved in:
39
Rule mining for scheduling cross training with a heterogeneous workforce
Kim, Sungsu
;
Nembhard, David A.
- In:
International journal of production research
51
(
2013
)
8
,
pp. 2281-2300
Persistent link: https://www.econbiz.de/10009731488
Saved in:
40
Task assignment considering cross-training goals and due dates
Olivella, Jordi
;
Corominas, Albert
;
Pastor, Rafael
- In:
International journal of production research
51
(
2013
)
3
,
pp. 952-962
Persistent link: https://www.econbiz.de/10009689263
Saved in:
41
Distributed policy search reinforcement learning for job-shop scheduling tasks
Gabel, Thomas
;
Riedmiller, Martin
- In:
International journal of production research
50
(
2011
)
1
,
pp. 41-61
Persistent link: https://www.econbiz.de/10009526856
Saved in:
42
Absenteeism as a major cause of bottlenecks in assembly lines
Cohen, Yuval
- In:
International journal of production research
50
(
2012
)
21
,
pp. 6072-6080
Persistent link: https://www.econbiz.de/10009670908
Saved in:
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