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1
Artificial intelligence applied to supply chain operations management : a systematic literature review
Mendonça, Guilherme Dayrell
;
Lima, Orlando Fontes <Jr>
- In:
International journal of logistics systems and …
45
(
2023
)
1
,
pp. 1-30
Persistent link: https://www.econbiz.de/10014316909
Saved in:
2
Predicting solutions of large-scale optimization problems via machine learning : a case study in blood supply chain management
Abbasi, Babak
;
Babaei, Toktam
;
Hosseinifard, Zahra
; …
- In:
Computers & operations research : and their …
119
(
2020
),
pp. 1-20
Persistent link: https://www.econbiz.de/10012236824
Saved in:
3
Towards
Logistics
4.0 : an edge-cloud software framework for big data analytics in
logistics
processes
Stietencron, Moritz von
;
Hribernik, Karl
;
Lepenioti, …
- In:
International journal of production research
60
(
2022
)
19
,
pp. 5994-6012
Persistent link: https://www.econbiz.de/10013501007
Saved in:
4
A review of medical distribution
logistics
in pharmaceutical supply chain
Khoukhi, Saâdia
;
Bojji, Chakib
;
Bensouda, Yahya
- In:
International journal of logistics systems and management
34
(
2019
)
3
,
pp. 297-326
Persistent link: https://www.econbiz.de/10012154865
Saved in:
5
Emergent technologies for supply chain risk and disruption management
Tripathi, Prateek Kumar
;
Deshmukh, Arun Kumar
;
Nath, …
- In:
Supply Chain Risk and Disruption Management : Latest …
,
(pp. 73-94)
.
2023
Persistent link: https://www.econbiz.de/10014314320
Saved in:
6
An integrated approach for robust inventory routing problem in a three-echelon distribution system
Gholami-Zanjani, Seyed Mohammad
;
Gholipour, Sobhgol
; …
- In:
International journal of logistics systems and management
32
(
2019
)
3/4
,
pp. 414-436
Persistent link: https://www.econbiz.de/10012014346
Saved in:
7
Smart connected sensors, cyber-physical networks, and big data analytics systems in Internet of Things-based real-time production
logistics
Moore, Kelly
- In:
Economics, management and financial markets
15
(
2020
)
2
,
pp. 16-22
Persistent link: https://www.econbiz.de/10012239724
Saved in:
8
Can deep reinforcement learning improve inventory management? : performance on lost sales, dual-sourcing, and multi-echelon problems
Gijsbrechts, Joren
;
Boute, Robert N.
;
Van Mieghem, Jan A.
; …
- In:
Manufacturing & service operations management : M & SOM
24
(
2022
)
3
,
pp. 1349-1368
Persistent link: https://www.econbiz.de/10013270742
Saved in:
9
An exact algorithm for the inventory routing problem with logistic ratio
Archetti, Claudia
;
Coelho, Leandro C.
;
Speranza, Maria …
- In:
Transportation research / E : an international journal
131
(
2019
),
pp. 96-107
Persistent link: https://www.econbiz.de/10012129064
Saved in:
10
Multi-period inventory routing problem under carbon emission regulations
Cheng, Chun
;
Qi, Mingyao
;
Wang, Xingyi
;
Zhang, Ying
- In:
International journal of production economics
182
(
2016
),
pp. 263-275
Persistent link: https://www.econbiz.de/10011621962
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