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Risk explicit interval linear programming model for long-term planning of vehicle recycling in the EU legislative context under uncertainty

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  • Simic, Vladimir
  • Dimitrijevic, Branka

Abstract

With the number of vehicles expected to increase to 1.85 billion by 2030 and the scrap generated from end-of-life vehicles (ELVs) expected to be 3.71 billion tonnes, there is a strong motivation to properly process the flow of these materials. The EU Directive on end-of-life vehicles (EU ELV Directive) aims to increase recovery and recycling rates of ELVs in order to reduce waste and improve environmental performances. Long-term optimization planning of vehicle recycling is increasingly important. However, there is a lack of research of uncertainties in the vehicle recycling system, none of the previous studies analyzed the linkage and trade-offs between decision risk and system performances, and no previous research was reported on interval-based programming for vehicle recycling planning problem. In order to meet the imposed eco-efficiency quotas, maximize system profit and minimize decision risk, and at the same time fill the identified research gaps, a risk explicit interval linear programming model for optimal long-term planning in the EU vehicle recycling factories was developed. It can create optimal plans for procuring vehicle hulks, sorting of generated material fractions, allocation of sorted waste flows and allocation of sorted metals for desired value of the system aspiration level. A numerical study demonstrated the potentials and applicability of the proposed model. Vehicle recycling factories aim at reaching the highest possible level of quantity and quality of sorted metal flows. The future eco-efficiency quotas will not endanger their business. The success of the final phase of implementation of the EU ELV Directive is not jeopardized, because even the future eco-efficiency quotas were reached in all created test problems. Quantity of land-filled wastes will be radically reduced after January 1, 2015. The model results and trade-offs would be valuable for supporting the EU vehicle recycling factories in creating optimal long-term production strategies and reducing the risk for uncertain situations.

Suggested Citation

  • Simic, Vladimir & Dimitrijevic, Branka, 2013. "Risk explicit interval linear programming model for long-term planning of vehicle recycling in the EU legislative context under uncertainty," Resources, Conservation & Recycling, Elsevier, vol. 73(C), pages 197-210.
    • Handle: RePEc:eee:recore:v:73:y:2013:i:c:p:197-210
    DOI: 10.1016/j.resconrec.2013.02.012
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    References listed on IDEAS

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    Cited by:

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    4. Simic, Vladimir, 2015. "A two-stage interval-stochastic programming model for planning end-of-life vehicles allocation under uncertainty," Resources, Conservation & Recycling, Elsevier, vol. 98(C), pages 19-29.
    5. Simic, Vladimir, 2016. "End-of-life vehicles allocation management under multiple uncertainties: An interval-parameter two-stage stochastic full-infinite programming approach," Resources, Conservation & Recycling, Elsevier, vol. 114(C), pages 1-17.

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