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subject:"Risk"
subject:"USA"
~accessRights:"restricted"
~person:"Govindan, Kannan"
~subject:"Finanzkrise"
~subject:"Risk management"
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Govindan, Kannan
Ivanov, Dmitry
49
Dolgui, Alexandre
22
Li, Jianping
17
Gatzert, Nadine
15
Wang, Ruodu
15
Choi, Tsan-Ming
14
Hammoudeh, Shawkat
14
Parast, Mahour Mellat
14
Sawik, Tadeusz
14
Zhu, Xiaoqian
13
Acharya, Viral V.
12
Broll, Udo
12
Paul, Sanjoy Kumar
12
Dionne, Georges
11
Sokolov, Boris
11
Tan, Ken Seng
11
Fabozzi, Frank J.
10
Gleißner, Werner
10
Hassan, M. Kabir
10
Kouvelis, Panos
10
Li, Johnny Siu-Hang
10
Liu, Shan
10
Mirakhor, Abbas
10
Righi, Marcelo Brutti
10
Wu, Desheng Dash
10
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9
Eling, Martin
9
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9
Gupta, Aparna
9
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9
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9
Talluri, Srinivas
9
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8
Chen, An
8
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8
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8
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Transportation research / E : an international journal
4
International journal of production economics
3
European journal of operational research : EJOR
1
Innovative supply chain optimization models with multiple uncertainty factors
1
Journal of the Operational Research Society : OR
1
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1
Would your company's resilience be internally viable after COVID-19 pandemic disruption? : a new PADRIC-based diagnostic methodology
Mohammed, Ahmed
;
Yazdani, Morteza
;
Govindan, Kannan
; …
- In:
Transportation research / E : an international journal
180
(
2023
),
pp. 1-19
Persistent link: https://www.econbiz.de/10014461304
Saved in:
2
A decision support system for selection and risk management of sustainability governance approaches in multi-tier supply chain
Jamalnia, Aboozar
;
Gong, Yu
;
Govindan, Kannan
; …
- In:
International journal of production economics
264
(
2023
),
pp. 1-25
Persistent link: https://www.econbiz.de/10014419449
Saved in:
3
Closed loop supply chains 4.0 : From risks to benefits through advanced technologies. A literature review and research agenda
Simonetto, Marco
;
Sgarbossa, Fabio
;
Battini, Daria
; …
- In:
International journal of production economics
253
(
2022
),
pp. 1-26
Persistent link: https://www.econbiz.de/10013448477
Saved in:
4
A multi-stage stochastic program for the sustainable design of biofuel supply chain networks under biomass supply uncertainty and disruption risk : a real-life case study
Fattahi, Mohammad
;
Govindan, Kannan
- In:
Transportation research / E : an international journal
118
(
2018
),
pp. 534-567
Persistent link: https://www.econbiz.de/10011928939
Saved in:
5
Innovative supply chain optimization models with multiple uncertainty factors
Choi, Tsan-Ming
;
Govindan, Kannan
;
Li, Xiang
;
Li, Yongjian
- In:
Innovative supply chain optimization models with …
,
(pp. 1-14)
.
2017
Persistent link: https://www.econbiz.de/10011763667
Saved in:
6
Supply chain network design under uncertainty : a comprehensive review and future research directions
Govindan, Kannan
;
Fattahi, Mohammad
;
Keyvanshokooh, Esmaeil
- In:
European journal of operational research : EJOR
263
(
2017
)
1
,
pp. 108-141
Persistent link: https://www.econbiz.de/10011793778
Saved in:
7
Investigating risk and robustness measures for supply chain network design under demand uncertainty : a case study of glass supply chain
Govindan, Kannan
;
Fattahi, Mohammad
- In:
International journal of production economics
183
(
2017
),
pp. 680-699
Persistent link: https://www.econbiz.de/10011634552
Saved in:
8
Responsive and resilient supply chain network design under operational and disruption risks with delivery lead-time sensitive customers
Fattahi, Mohammad
;
Govindan, Kannan
;
Keyvanshokooh, Esmaeil
- In:
Transportation research / E : an international journal
101
(
2017
),
pp. 176-200
Persistent link: https://www.econbiz.de/10011701891
Saved in:
9
Interrelationships of risks faced by third party logistics service providers : a DEMATEL based approach
Govindan, Kannan
;
Chaudhuri, Atanu
- In:
Transportation research / E : an international journal
90
(
2016
),
pp. 177-195
Persistent link: https://www.econbiz.de/10011497827
Saved in:
10
Supplier risk assessment based on trapezoidal intuitionistic fuzzy numbers and ELECTRE TRI-C : a case illustration involving service suppliers
Govindan, Kannan
;
Jepsen, Martin Brandt
- In:
Journal of the Operational Research Society : OR
67
(
2016
)
2
,
pp. 339-376
Persistent link: https://www.econbiz.de/10011516528
Saved in:
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