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Innovation : a data-driven approach
Kusiak, Andrew
- In:
International journal of production economics
122
(
2009
)
1
,
pp. 440-448
Persistent link: https://www.econbiz.de/10003904791
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Application of operational research models and techniques in flexible manufacturing systems
Kusiak, Andrew
- In:
European journal of operational research : EJOR
24
(
1986
)
3
,
pp. 336-345
Persistent link: https://www.econbiz.de/10001010301
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From digital to universal manufacturing
Kusiak, Andrew
- In:
International journal of production research
60
(
2022
)
1
,
pp. 349-360
Persistent link: https://www.econbiz.de/10012873145
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Open manufacturing : a design-for-resilience approach
Kusiak, Andrew
- In:
International journal of production research
58
(
2020
)
15
,
pp. 4647-4658
Persistent link: https://www.econbiz.de/10012266078
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Smart manufacturing
Kusiak, Andrew
- In:
International journal of production research
56
(
2018
)
1/2
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pp. 508-517
Persistent link: https://www.econbiz.de/10011876611
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Convolutional and generative adversarial neural networks in manufacturing
Kusiak, Andrew
- In:
International journal of production research
58
(
2020
)
5
,
pp. 1594-1604
Persistent link: https://www.econbiz.de/10012194100
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Federated explainable artificial intelligence (fXAI) : a digital manufacturing perspective
Kusiak, Andrew
- In:
International journal of production research
62
(
2024
)
1/2
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pp. 171-182
Persistent link: https://www.econbiz.de/10014454722
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Predictive models in digital manufacturing : research, applications, and future outlook
Kusiak, Andrew
- In:
International journal of production research
61
(
2023
)
17
,
pp. 6052-6062
Persistent link: https://www.econbiz.de/10014382694
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Universal manufacturing : enablers, properties, and models
Kusiak, Andrew
- In:
International journal of production research
60
(
2022
)
8
,
pp. 2497-2513
Persistent link: https://www.econbiz.de/10013375405
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Sequential selection for accelerated life testing via approximate Bayesian inference
Chen, Ye
;
Zhang, Qiong
;
Li, Mingyang
;
Cai, Wenjun
- In:
Naval Research Logistics (NRL)
69
(
2021
)
2
,
pp. 336-351
Persistent link: https://www.econbiz.de/10012633335
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