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~isPartOf:"International journal of production research"
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International journal of production research
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ECONIS (ZBW)
5,748
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date (oldest first)
1
Artificial intelligence in supply chain and operations
management
: a multiple case study research
Cannas, Violetta Giada
;
Ciano, Maria Pia
; …
- In:
International journal of production research
62
(
2024
)
9
,
pp. 3333-3360
Persistent link: https://www.econbiz.de/10014547017
Saved in:
2
The customer order decoupling point in empirical operations and supply chain
management
research : a systematic literature review and framework
Harfeldt-Berg, Magnus
;
Olhager, Jan
- In:
International journal of production research
62
(
2024
)
17
,
pp. 6380-6399
Persistent link: https://www.econbiz.de/10015053789
Saved in:
3
Generative artificial intelligence in supply chain and operations
management
: a capability-based framework for analysis and implementation
Jackson, Ilya
;
Ivanov, Dmitry
;
Dolgui, Alexandre
; …
- In:
International journal of production research
62
(
2024
)
17
,
pp. 6120-6145
Persistent link: https://www.econbiz.de/10015053768
Saved in:
4
A decision support system for configuring spare parts supply chains considering different manufacturing technologies
Cantini, Alessandra
;
Peron, Mirco
;
De Carlo, Filippo
; …
- In:
International journal of production research
62
(
2024
)
8
,
pp. 3023-3043
Persistent link: https://www.econbiz.de/10014546525
Saved in:
5
Pursuing supply chain ecosystem health under environmental turbulence : a supply chain learning approach
Wang, Liukai
;
Kong, Xinyi
;
Wang, Weiqing
;
Gong, Yu
- In:
International journal of production research
62
(
2024
)
8
,
pp. 2792-2811
Persistent link: https://www.econbiz.de/10014546492
Saved in:
6
Optimising location, inventory and transportation in a sustainable closed-loop supply chain
Becerra, Pablo
;
Mula, Josefa
;
Sanchis, Raquel
- In:
International journal of production research
62
(
2024
)
5
,
pp. 1609-1632
Persistent link: https://www.econbiz.de/10014546244
Saved in:
7
Artificial intelligence-driven risk
management
for enhancing supply chain agility : a deep-learning-based dual-stage PLS-SEM-ANN analysis
Lai-Wan Wong
;
Tan, Garry Wei-Han
;
Ooi, Keng-Boon
;
Lin, …
- In:
International journal of production research
62
(
2024
)
15
,
pp. 5535-5555
Persistent link: https://www.econbiz.de/10015053703
Saved in:
8
Towards knowledge graph reasoning for supply chain risk
management
using graph neural networks
Kosasih, Edward Elson
;
Margaroli, Fabrizio
;
Gelli, Simone
; …
- In:
International journal of production research
62
(
2024
)
15
,
pp. 5596-5612
Persistent link: https://www.econbiz.de/10015053713
Saved in:
9
Quantitative insights into the integrated push and pull production problem for lean supply chain planning 4.0
Reyes, John
;
Mula, Josefa
;
Diaz-Madroñero, Manuel
- In:
International journal of production research
62
(
2024
)
17
,
pp. 6251-6275
Persistent link: https://www.econbiz.de/10015053778
Saved in:
10
COVID-19 as a trigger for dynamic capability development and supply chain resilience improvement
Kähkönen, Anni-Kaisa
;
Evangelista, Pietro
;
Hallikas, Jukka
- In:
International journal of production research
61
(
2023
)
8
,
pp. 2696-2715
Persistent link: https://www.econbiz.de/10014231118
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