Interval linear programming model for long-term planning of vehicle recycling in the Republic of Serbia under uncertainty

An interval linear programming approach is used to formulate and comprehensively test a model for optimal long-term planning of vehicle recycling in the Republic of Serbia. The proposed model is applied to a numerical case study: a 4-year planning horizon (2013–2016) is considered, three legislative cases and three scrap metal price trends are analysed, availability of final destinations for sorted waste flows is explored. Potential and applicability of the developed model are fully illustrated. Detailed insights on profitability and eco-efficiency of the projected contemporary equipped vehicle recycling factory are presented. The influences of the ordinance on the management of end-of-life vehicles in the Republic of Serbia on the vehicle hulks procuring, sorting generated material fractions, sorted waste allocation and sorted metals allocation decisions are thoroughly examined. The validity of the waste management strategy for the period 2010–2019 is tested. The formulated model can create optimal plans for procuring vehicle hulks, sorting generated material fractions, allocating sorted waste flows and allocating sorted metals. Obtained results are valuable for supporting the construction and/or modernisation process of a vehicle recycling system in the Republic of Serbia.

[1]  Branka Dimitrijevic,et al.  Production planning for vehicle recycling factories in the EU legislative and global business environments , 2012 .

[2]  Vladimir Simic,et al.  A DECADE OF THE AUTOMOBILE SHREDDER RESIDUE PROBLEM - A REVIEW OF THE STATE-OF-THE-ART , 2012 .

[3]  Branka Dimitrijevic,et al.  Modelling production processes in a vehicle recycling plant , 2012, Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA.

[4]  Tong Shaocheng,et al.  Interval number and fuzzy number linear programmings , 1994 .

[5]  Fabrizio Passarini,et al.  A comparison among different automotive shredder residue treatment processes , 2010 .

[6]  John W. Chinneck,et al.  Linear programming with interval coefficients , 2000, J. Oper. Res. Soc..

[7]  L Rigamonti,et al.  Material and energy recovery from Automotive Shredded Residues (ASR) via sequential gasification and combustion. , 2010, Waste management.

[8]  Branka Dimitrijevic,et al.  Risk explicit interval linear programming model for long-term planning of vehicle recycling in the EU legislative context under uncertainty , 2013 .

[9]  Karthik Ramani,et al.  Modeling of Automotive Recycling Planning in the United States , 2005 .

[10]  P. Ferrão,et al.  Strategies for Meeting EU End‐of‐Life Vehicle Reuse/Recovery Targets , 2006 .

[11]  Branka Dimitrijevic,et al.  Modelling of automobile shredder residue recycling in the Japanese legislative context , 2013, Expert Syst. Appl..

[12]  P. Ferrão,et al.  Assessing the economics of auto recycling activities in relation to European Union Directive on end of life vehicles , 2006 .

[13]  Xiuli Qu,et al.  Production , Manufacturing and Logistics An automotive bulk recycling planning model , 2006 .

[14]  Ching-Pin Tung,et al.  Interval number fuzzy linear programming for climate change impact assessments of reservoir active storage , 2009, Paddy and Water Environment.

[15]  Xiuli Qu,et al.  An analytical model for reverse automotive production planning and pricing , 2008, Eur. J. Oper. Res..