A stochastic model for forward-reverse logistics network design under risk
By M. El-Sayed, N. Afia, A. El-Kharbotly, Santoso, Ahmed, Shapiro Goetschalckx. Computers & industrial engineering, 2010
396 citations recorded by the source corpus.
Subfields: Industrial and Manufacturing Engineering, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/fddc7478335d1e0ce48b7fee8a052a4625cf1237
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Industrial and Manufacturing Engineering
- Kannan Govindan
- Pierre J. Dejax
- Jean-Pierre Kenné
- Ali Gharbi
- S. A. Torabi
- Mir Saman Pishvaee
- Devika Kannan
- Hamed Soleimani
In Strategy and Management
- Kannan Govindan
- S. A. Torabi
- Pierre J. Dejax
- Mir Saman Pishvaee
- Devika Kannan
- Hamed Soleimani
- Stephen M. Disney
- Dmitry A. Ivanov
Citations in the corpus
- A possibilistic programming approach for closed-loop supply chain network design under uncertainty (2010, methodology): “Usually stochastic programming approaches were used to model the randomness of model parameters (see for example [15,18]) and (2) epistemic uncertainty that deals with lack of knowledge about model parameters and possibilistic programming approaches are used to cope with this kind of uncertainty (se”
- Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future (2015, background): “Erol et al. (2010) surveyed the current state of reverse supply chain management (RSCM) initiatives in several Turkish industries.”
- A multi-stage stochastic supply network design problem with financial decisions and risk management (2012, neutral): “[8] address a single-period multi-commodity supply chain network design problem.”
- Production planning of a hybrid manufacturing–remanufacturing system under uncertainty within a closed-loop supply chain (2012, methodology): “An example of such models can be found in El-Sayed et al. (2008) where a multi period multi echelon forward–reverse logistics network model is developed. The control of the manufacturing and remanufacturing production facilities, based on their dynamics is very limited in the literature. Kiesmuller ”
- Incorporating risk measures in closed-loop supply chain network design (2014, background): “It should be noted that the notation is inspired from El-Sayed, Afia, and El-Kharbotly (2010) and Soleimani, Seyyed-Esfahani, and Shirazi (2013).”