title: Fuzzy risk explicit interval linear programming model for end-of-life vehicle recycling planning in the EU.
abstract: End-of-life vehicles (ELVs) are vehicles that have reached the end of their useful lives and are no longer registered or licensed for use. The ELV recycling problem has become very serious in the last decade and more and more efforts are made in order to reduce the impact of ELVs on the environment. This paper proposes the fuzzy risk explicit interval linear programming model for ELV recycling planning in the EU. It has advantages in reflecting uncertainties presented in terms of intervals in the ELV recycling systems and fuzziness in decision makers' preferences. The formulated model has been applied to a numerical study in which different decision maker types and several ELV types under two EU ELV Directive legislative cases were examined. This study is conducted in order to examine the influences of the decision maker type, the α-cut level, the EU ELV Directive and the ELV type on decisions about vehicle hulks procuring, storing unprocessed hulks, sorting generated material fractions, allocating sorted waste flows and allocating sorted metals. Decision maker type can influence quantity of vehicle hulks kept in storages. The EU ELV Directive and decision maker type have no influence on which vehicle hulk type is kept in the storage. Vehicle hulk type, the EU ELV Directive and decision maker type do not influence the creation of metal allocation plans, since each isolated metal has its regular destination. The valid EU ELV Directive eco-efficiency quotas can be reached even when advanced thermal treatment plants are excluded from the ELV recycling process. The introduction of the stringent eco-efficiency quotas will significantly reduce the quantities of land-filled waste fractions regardless of the type of decision makers who will manage vehicle recycling system. In order to reach these stringent quotas, significant quantities of sorted waste need to be processed in advanced thermal treatment plants. Proposed model can serve as the support for the European vehicle recycling managers in creating more successful ELV recycling plans.
authors.affiliation: University of Belgrade, Faculty of Transport and Traffic Engineering, Vojvode Stepe 305, 11000 Belgrade, Serbia. Electronic address: vsima@sf.bg.ac.rs.
authors.forename: Vladimir
authors.initials: V
authors.lastname: Simic
mesh_terms: D000465:Algorithms; D001336:Automobiles; D003657:Decision Making; D005062:European Union; D017143:Fuzzy Logic; D008962:Models, Theoretical; D011382:Programming, Linear; D059027:Recycling / Q000191:economics* / Q000379:methods*; D035501:Uncertainty; D018505:Waste Management
keywords: Decision maker preference type; EU ELV Directive; End-of-life vehicle; Fuzzy risk explicit interval linear programming; Uncertainty; α-Cut level