A new optimization model for closed-loop supply chain networks

2014 ◽  
Author(s):  
Behin Elahi ◽  
Matthew Franchetti
Keyword(s):  
Supply Chain ◽  
Optimization Model ◽  
Closed Loop ◽  
Closed Loop Supply Chain ◽  
Supply Chain Networks

An optimization model for traceable closed-loop supply chain networks

2019 ◽  
Vol 71 ◽  
pp. 673-699 ◽  
Author(s):  
Vahid Hajipour ◽  
Madjid Tavana ◽  
Debora Di Caprio ◽  
Majid Akhgar ◽  
Yasaman Jabbari
Keyword(s):  
Supply Chain ◽  
Optimization Model ◽  
Closed Loop ◽  
Closed Loop Supply Chain ◽  
Supply Chain Networks

Optimal design of closed-loop supply chain networks with multifunctional nodes

2015 ◽  
Vol 80 ◽  
pp. 73-91 ◽  
Author(s):  
Magdalini A. Kalaitzidou ◽  
Pantelis Longinidis ◽  
Michael C. Georgiadis
Keyword(s):  
Supply Chain ◽  
Optimal Design ◽  
Closed Loop ◽  
Closed Loop Supply Chain ◽  
Supply Chain Networks

Design of Closed Loop Supply Chain Networks

2014 ◽  
Vol 1 (1) ◽  
pp. 43-66 ◽  
Author(s):  
Subramanian Pazhani ◽  
A. Ravi Ravindran
Keyword(s):  
Supply Chain ◽  
Network Design ◽  
Closed Loop ◽  
The United States ◽  
Raw Material ◽  
Mixed Integer ◽  
Closed Loop Supply Chain ◽  
Supply Chain Networks ◽  
Optimal Network Design ◽  
Optimal Network

Given the importance of operating and managing forward and reverse supply chains in an integrated manner, this article considers an integrated four-stage supply chain network with forward and reverse product flows. We consider a closed loop supply chain (CLSC) network with primarily commercial returns, which could be potentially recovered by light repair operations or by refurbishing. The annual estimate of commercial returns in the United States is in excess of $100 billion. This paper discusses the optimal design of a CLSC network.A mixed integer linear programming (MILP) model is developed to determine the optimal locations of the facilities and the distribution of flows between facilities in the CLSC to maximize the total profit. The model is illustrated using a realistic example applicable to the electronics industries. Even though recycling and refurbishing add cost, the overall supply chain profit increases due to a reduction in the raw material cost. Sensitivity analysis is carried out to determine the effect of return percentage and varying demands of customers who are willing to buy refurbished products. The analysis show that the total supply chain profit increases with the increase in refurbishing activity. Finally, changes in the network design with respect to the uncertainty in these return parameters are also studied. The results show that the changes in return parameters lead to changes in optimal network design implying the need to explicitly consider the uncertainty in these return parameters.

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