A memetic algorithm for bi-objective integrated forward/reverse logistics network design
By Mir Saman Pishvaee, Reza Zanjirani Farahani, W. Dullaert. Computers & Operations Research, 2010
489 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Management Information Systems, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/ce70d8722e318b2fd4d8c586ecda79639ed7c5bd
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Control and Systems Engineering
In Management Information Systems
- Saman Hassanzadeh Amin
- Mir Saman Pishvaee
- Guoqing Zhang
- S. A. Torabi
- Pierre J. Dejax
- Joe Miemczyk
- Jafar Razmi
- Dmitry A. Ivanov
In Strategy and Management
- Saman Hassanzadeh Amin
- Guoqing Zhang
- S. A. Torabi
- Majid Eskandarpour
- Pierre J. Dejax
- Joe Miemczyk
- Olivier Péton
- Mir Saman Pishvaee
Citations in the corpus
- A multi-objective facility location model for closed-loop supply chain network under uncertain demand and return (2013, methodology): “[22] considered minimization of the total costs, and maximization of the responsiveness of a logistics network.”
- Sustainable supply chain network design: An optimization-oriented review☆ (2015, background): “SCND problems are NP-hard [Pishvaee et al., 2010], since they generalize facility location problems.”
- A possibilistic programming approach for closed-loop supply chain network design under uncertainty (2010, background): “, [12,14,15]) have recently focused on developing integrated models for simultaneous forward/reverse supply chain network design to avoid the sub-optimalities resulting from the separated design.”
- Robust possibilistic programming for socially responsible supply chain network design: A new approach (2012, background): “Keywords: Fuzzy mathematical programming; Robust possibilistic programming; Necessity measure; Corporate social responsibility; Supply chain network design”
- A proposed mathematical model for closed-loop network configuration based on product life cycle (2012, methodology): “[26] developed a bi-objective MILP model to minimize the total costs and maximize the responsiveness of a logistics network.”