Optimising reverse logistics network to support policy-making in the case of Electrical and Electronic Equipment.
Due to the rapid growth of Waste Electrical and Electronic Equipment (WEEE) volumes, as well as the hazardousness of obsolete electr(on)ic goods, this type of waste is now recognised as a priority stream in the developed countries. Policy-making related to the development of the necessary infrastructure and the coordination of all relevant stakeholders is crucial for the efficient management and viability of individually collected waste. This paper presents a decision support tool for policy-makers and regulators to optimise electr(on)ic products' reverse logistics network. To that effect, a Mixed Integer Linear Programming mathematical model is formulated taking into account existing infrastructure of collection points and recycling facilities. The applicability of the developed model is demonstrated employing a real-world case study for the Region of Central Macedonia, Greece. The paper concludes with presenting relevant obtained managerial insights.
Achillas
Ch
Ch
Laboratory of Heat Transfer and Environmental Engineering, Aristotle University Thessaloniki, Box 483, 54124 Thessaloniki, Greece. achillas@aix.meng.auth.gr
Vlachokostas
Ch
Ch
Aidonis
D
D
Moussiopoulos
N
N
Iakovou
E
E
Banias
G
G
D003661:Decision Support Techniques; D055615:Electrical Equipment and Supplies / Q000706:statistics & numerical data; D059029:Electronic Waste / Q000032:analysis / Q000706:statistics & numerical data; D058735:Environmental Policy; D004787:Environmental Pollution / Q000517:prevention & control*; D016014:Linear Models; D011050:Policy Making