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~subject:"Stochastischer Prozess"
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Stochastischer Prozess
Lieferkette
133
Supply chain
133
Sustainability
44
Nachhaltige Entwicklung
40
Nachhaltigkeit
40
Sustainable development
40
Reverse logistics
37
Betriebliche Kreislaufwirtschaft
35
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25
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21
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19
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19
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Stochastic process
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Supplier evaluation
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Greenhouse gas emissions
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Lieferantenbewertung
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Treibhausgas-Emissionen
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Govindan, Kannan
13
Fattahi, Mohammad
7
Keyvanshokooh, Esmaeil
2
Ahmadi, Abbas
1
Cheng, T. C. E.
1
Farhadkhani, Mehdi
1
Heydari, Jafar
1
Hosseini-Motlagh, Seyyed-Mahdi
1
Jafarian, Ahmad
1
Jokar, Abbas
1
Maihami, Reza
1
Nematollahi, Mohammadreza
1
Nourbakhsh, Vahid
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Rahmati, Seyed Habib A.
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International journal of production economics
4
Computers & operations research : and their applications to problems of world concern ; an international journal
3
Transportation research / E : an international journal
2
Decision sciences
1
European journal of operational research : EJOR
1
International journal of production research
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Recent advances in optimization theory and applications
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ECONIS (ZBW)
13
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1
The optimal replenishment policy for time-varying stochastic demand under vendor managed inventory
Govindan, Kannan
- In:
European journal of operational research : EJOR
242
(
2015
)
2
,
pp. 402-423
Persistent link: https://www.econbiz.de/10010491684
Saved in:
2
Bi-objective integrating sustainable order allocation and sustainable supply chain network strategic design with stochastic demand using a novel robust hybrid multi-objective metaheuristic
Govindan, Kannan
;
Jafarian, Ahmad
;
Nourbakhsh, Vahid
- In:
Computers & operations research : and their …
62
(
2015
),
pp. 112-130
Persistent link: https://www.econbiz.de/10011334001
Saved in:
3
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:
4
Advances in stochastic programming and robust optimization for supply chain planning
Govindan, Kannan
;
Cheng, T. C. E.
- In:
Computers & operations research : and their …
100
(
2018
),
pp. 262-269
Persistent link: https://www.econbiz.de/10011930618
Saved in:
5
A multi-stage stochastic program for supply chain network redesign problem with price-dependent uncertain demands
Fattahi, Mohammad
;
Govindan, Kannan
;
Keyvanshokooh, Esmaeil
- In:
Computers & operations research : and their …
100
(
2018
),
pp. 314-332
Persistent link: https://www.econbiz.de/10011930640
Saved in:
6
Reverse supply chain coordination under stochastic remanufacturing capacity
Heydari, Jafar
;
Govindan, Kannan
;
Sadeghi, Razieh
- In:
International journal of production economics
202
(
2018
),
pp. 1-11
Persistent link: https://www.econbiz.de/10011882399
Saved in:
7
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:
8
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:
9
Stochastic optimization of disruption-driven supply chain network design with a new resilience metric
Fattahi, Mohammad
;
Govindan, Kannan
;
Maihami, Reza
- In:
International journal of production economics
230
(
2020
),
pp. 1-16
Persistent link: https://www.econbiz.de/10012388482
Saved in:
10
An adjustable bi-level wholesale price contract for coordinating a supply chain under scenario-based stochastic demand
Hosseini-Motlagh, Seyyed-Mahdi
;
Govindan, Kannan
; …
- In:
International journal of production economics
214
(
2019
),
pp. 175-195
Persistent link: https://www.econbiz.de/10012036584
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