386
H. Kuroki et al.
models the delivery route of goods and the location of facilities taking into account
the geographical factors of France (Tang et al. 2019). However, these LRP studies are
proposing the proposed method and optimizing the location and number of facilities,
and only forecasting the amount of recovery required for recycling projects and
minimizing the cost of economics was not evaluated. Saman considered the location
of the facility with uncertain demand and returns in the supply chain (Amin and Zhang
2013). Luu has designed a recycling network model that minimizes transportation
costs to minimize the costs incurred in the recycling process of multiple appliances
(Dat et al. 2012). Aras et al. It was modeled that the recycling business to recover
e-waste in Turkey takes into consideration the location of the recycling facility and
the recycling facility that will take over the processing capacity (Aras et al. 2015).
However, in these cases as well, only cost minimization is performed, and economic
evaluation is evaluated, and optimal investment timing is not considered. Danijel
and Marija are research that evaluated the economics of introducing equipment to
facilities (Kovaˇ ci´ c and Bogataj 2013). The economic evaluation uses a discount rate,
so an analysis was conducted by incorporating the discount rate with reference to
Schneider (Schneider et al. 2009).
27.3 Recycling Systems
27.3.1 Conceptual Diagram of Recycling Systems
The recycling system of this research is built for the project to recycle rare earth
from the discarded EV motor. Figure 27.1 shows the recycling system handled in
this research.
Sales and disposal
of EV · HEV
Work at recycling facility
Remove the motor
Remove the magnet
Recovery the magnet
Remove :
Recovery :
Transport :
Work at dismantling facility
Discard the EV・HEV
Transport the motor by track
Fig. 27.1 Recycling systems of EV
H. Kuroki et al.
models the delivery route of goods and the location of facilities taking into account
the geographical factors of France (Tang et al. 2019). However, these LRP studies are
proposing the proposed method and optimizing the location and number of facilities,
and only forecasting the amount of recovery required for recycling projects and
minimizing the cost of economics was not evaluated. Saman considered the location
of the facility with uncertain demand and returns in the supply chain (Amin and Zhang
2013). Luu has designed a recycling network model that minimizes transportation
costs to minimize the costs incurred in the recycling process of multiple appliances
(Dat et al. 2012). Aras et al. It was modeled that the recycling business to recover
e-waste in Turkey takes into consideration the location of the recycling facility and
the recycling facility that will take over the processing capacity (Aras et al. 2015).
However, in these cases as well, only cost minimization is performed, and economic
evaluation is evaluated, and optimal investment timing is not considered. Danijel
and Marija are research that evaluated the economics of introducing equipment to
facilities (Kovaˇ ci´ c and Bogataj 2013). The economic evaluation uses a discount rate,
so an analysis was conducted by incorporating the discount rate with reference to
Schneider (Schneider et al. 2009).
27.3 Recycling Systems
27.3.1 Conceptual Diagram of Recycling Systems
The recycling system of this research is built for the project to recycle rare earth
from the discarded EV motor. Figure 27.1 shows the recycling system handled in
this research.
Sales and disposal
of EV · HEV
Work at recycling facility
Remove the motor
Remove the magnet
Recovery the magnet
Remove :
Recovery :
Transport :
Work at dismantling facility
Discard the EV・HEV
Transport the motor by track
Fig. 27.1 Recycling systems of EV