TY - GEN
T1 - Considering multiple recovery options and uncertainties in a closed-loop supply chain network design problem
AU - Jerbia, Rim
AU - Sehli, Mohamed Amine
AU - Jemai, Zied
AU - Kchaou Boujelben, Mouna
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/11/8
Y1 - 2017/11/8
N2 - In this paper, a closed-loop supply chain network design problem with multiple recovery options is studied. The problem is modeled as a Mixed Integer Linear Program (MILP). Then, a sensitivity analysis is carried out in order to investigate the impact of variations of the customer return rates, revenues, costs as well as the proportions of returns assigned to each recovery option, on the network structure and profit. A stochastic version of the model is also developed to account for the high uncertainties faced by companies. The computational results show that the solution of the stochastic problem is stable and that the benefit from using stochastic modeling increases when the penalty over non collected returns increases.
AB - In this paper, a closed-loop supply chain network design problem with multiple recovery options is studied. The problem is modeled as a Mixed Integer Linear Program (MILP). Then, a sensitivity analysis is carried out in order to investigate the impact of variations of the customer return rates, revenues, costs as well as the proportions of returns assigned to each recovery option, on the network structure and profit. A stochastic version of the model is also developed to account for the high uncertainties faced by companies. The computational results show that the solution of the stochastic problem is stable and that the benefit from using stochastic modeling increases when the penalty over non collected returns increases.
KW - Closed loop supply chain network design
KW - Facility location
KW - MILP
KW - Reverse logistics
KW - Two-stage stochastic program
UR - http://www.scopus.com/inward/record.url?scp=85045538640&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85045538640&partnerID=8YFLogxK
U2 - 10.1109/CoDIT.2017.8102648
DO - 10.1109/CoDIT.2017.8102648
M3 - Conference contribution
AN - SCOPUS:85045538640
T3 - 2017 4th International Conference on Control, Decision and Information Technologies, CoDIT 2017
SP - 533
EP - 538
BT - 2017 4th International Conference on Control, Decision and Information Technologies, CoDIT 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th International Conference on Control, Decision and Information Technologies, CoDIT 2017
Y2 - 5 April 2017 through 7 April 2017
ER -