Özet:
Waste management is gaining crucial importance as recycling aims at transforming
produced waste into value for economy in recent years.As automotive is one of the
fastest growing industries worldwide, recycling of end‐of‐life vehicles (ELV) gains
importance day by day. Due to legislations and new regulations, multiple players
like users, producers, treatment facilities, municipalities, etc. require cooperative
engagement and they are being conferred new responsibilities in recycling process.
Participations of multiple actors in the recycling process of ELV bring various
uncertainties to the case. Additionally, parameters of the recycling process, like
number of vehicles withdrawn per year, cost items, percentages of material types in
the vehicles are tended to change due to technological, social and economic
developments. Automotive industry has a crucial importance in Turkish economy
which is highly effected by socio‐political and economic developments.
Furthermore, Istanbul is a metropolitan area which has maximum rate of vehicle
ownership in Turkey. For that purpose, this paper aims to propose a scenario‐based
real‐life stochastic optimization model for management of supply chain network of
the ELVs’ recycling process in Istanbul. Consequently, sensitivity analysis and
scenario analysis are applied to question the consistency of the study and to review
the results with different scenarios.
