Multicriteria Optimization Model for End-of-life Vehicles’ Recycling Network

Multicriteria Optimization Model for End-of-life Vehicles’ Recycling Network

A. Merkisz-Guranowska

Department of Transport and Machines, Poznan University of Technology, Poland

Page: 
88-99
|
DOI: 
https://doi.org/10.2495/SDP-V8-N1-88-99
Received: 
N/A
| |
Accepted: 
N/A
| | Citation

OPEN ACCESS

Abstract: 

A growing ecological awareness in modern societies, legal regulations aiming at a reduction of waste storage and economic benefits that we can have from recycling of used products led to a situation that the creation of recycling networks has become an important issue, particularly in developed countries. The paper presents issues related to the design of recycling network whose purpose is to collect from the last owner, dismantle, and properly recover end-of-life vehicles. Creating recycling network has become an indispensable element that accompanies the development of the automotive industry. Its functioning is within the realm of interest of a variety of government agendas, companies participating in the network, vehicle manufacturers, and vehicle end-users. The interests of these groups need to be considered when deciding about the network organization. Very often, these interests are divergent and it is extremely difficult to take into account the preferences of all the interested parties. In such a case, making right decisions is aided by multicriteria decision support tools. The proposed decision support tools consist in formulating a research problem in the mathematical language in the form of an optimization task related to the determining of a recycling network entity location. The selection of the optimum locations of the individual recycling network entities will depend on the preferences of the decision-maker and the resources at the decision-maker’s disposal as well as the conditions that the network must meet. The paper presents a bi-criteria model of network entity location that takes into account the preferences of the vehicle owners and network participants. A mathematical formulation of the optimization task has been presented, including the objective functions and limitations that the solutions have to comply with. Then, the model was used for the network optimization in Poland.

Keywords: 

decision support system, end-of-life vehicles, location modeling, optimization, recycling network

  References

[1] Mansour, S. & Zarei, M., A multi period reverse logistics optimization model for end-of-life vehicles recovery based on EU Directive. International Journal of Computer Integrated Manufacturing, 21(7), pp. 764–777, 2008. doi: http://dx.doi.org/10.1080/09511920701685325

[2] Cruz-Rivera, R. & Ertel, J., Reverse logistics network design for the collection of end-of-life vehicles in Mexico. European Journal of Operational Research, 196(3), pp. 930–939, 2009. doi: http://dx.doi.org/10.1016/j.ejor.2008.04.041

[3] Merkisz-Guranowska, A., The optimization of vehicles recycling facility location. Proc. of the 17th International Conference on Urban Transport and the Environment, eds A. Pratelli, C.A. Brebbia, WIT Press: Southampton, pp. 65–76, 2011.

[4] Zarei, M., Mansour, S., Husseinzadeh Kashan, A. & Karimi, B., Designing a reverse logistics network for end-of-life vehicles recovery. Mathematical Problems in Engineering, 10.1155/2010, pp. 1–16, 2010.

[5] Schultmann, F., Zumkeller, M. & Rentz, O., Modeling reverse logistic tasks within closed-loop supply chains: an example from the automotive industry. European Journal of Operational Research, 171(3), pp. 1033–1050, 2006. doi: http://dx.doi.org/10.1016/j.ejor.2005.01.016

[6] Merkisz-Guranowska, A. Vehicles Recycling In Poland, Wydawnictwo ITE: Poznan and Radom, 2007.

[7] Merkisz-Guranowska, A., A formalization of the description of the recycling network for motor vehicles, Archives of Transport, 21(3–4), pp. s.67–84, 2009.