A robust optimization model for stochastic logistic problems
By Chian-Son Yu, Han-Lin Li. 2000
537 citations recorded by the source corpus.
Subfields: Management Information Systems, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/65d89ef3cb272318b19db1ce6831e68c0fe666e9
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Information Systems
- Mir Saman Pishvaee
- S. A. Torabi
- Mohammad Modarres
- Jafar Razmi
- Amir Azaron
- Kenneth N. Brown
- Ş. Tarim
- Dmitry A. Ivanov
In Management Science and Operations Research
- Mir Saman Pishvaee
- S. M. Al-e-hashem
- Mohammad Modarres
- S. A. Torabi
- Jafar Razmi
- Amir Azaron
- Kenneth N. Brown
- Ş. Tarim
Citations in the corpus
- Robust possibilistic programming for socially responsible supply chain network design: A new approach (2012, methodology): “[48] approach are proposed by Yu and Li [54] and Leung et al.”
- A multi-objective stochastic programming approach for supply chain design considering risk (2008, methodology): “1 (modified from Yu and Li, 2000).”
- Robust supply chain network design with service level against disruptions and demand uncertainties: A real-life case (2013, unknown): “Yu and Li (2000) discussed the computational effort required due to a quadratic term and proposed an absolute deviation instead of the quadratic term, which is shown as follows:”
- A multi-objective robust stochastic programming model for disaster relief logistics under uncertainty (2011, background): “To cope with the computational complexity due to its nonlinearity, however, Yu and Li (2000) proposed an absolute deviation in place of the quadratic term, which is presented as follows:”