Modeling and Prediction of the end of Life Vehicles Number Distribution in Serbia

2016
Authors
Sokić, Miroslav
Ilić, Ilija B.
Manojlović, Vaso

Marković, Branislav

Gulišija, Zvonko
Pavlović, Milan D.
Štrbac, Nada

Article (Published version)

Metadata
Show full item recordAbstract
The impact of various time-defendant factors on the recycling rate of end-of-life vehicles (ELV) in Republic of Serbia was investigated. Statistical distribution of the frequency of the number of ELV in the year of dismantling depending on the year of production of ELV is designed using the two-parameter Weibull distribution function and MATLAB software, based on a real time data. Obtaining the time-dependence of Weibull parameters, a statistical distribution of frequency of the number of ELV in the coming period in Serbia was simulated. These results in combination with amount of materials in the most abundant cars in Serbia were used to simulate the overall amount of materials, which are available for recycling, in the coming period. These results are essential for automotive recycling industry management, particularly for shredders, dismantlers and metal pre-processors.
Keywords:
simulation / secondary raw materials / recycling / ELV / dynamic modelSource:
Acta Polytechnica Hungarica, 2016, 13, 4, 159-172Publisher:
- Budapest Tech, Budapest
Funding / projects:
- Developing technological processes for nonstandard copper concentrates processing with the aim to decrease pollutants emission (RS-34023)
- Sustainable development of technology and equipment for motor vehicles recycling (RS-35033)
DOI: 10.12700/APH.13.4.2016.4.10
ISSN: 1785-8860
WoS: 000384766900010
Scopus: 2-s2.0-84984829449
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Institution/Community
Institut za tehnologiju nuklearnih i drugih mineralnih sirovinaTY - JOUR AU - Sokić, Miroslav AU - Ilić, Ilija B. AU - Manojlović, Vaso AU - Marković, Branislav AU - Gulišija, Zvonko AU - Pavlović, Milan D. AU - Štrbac, Nada PY - 2016 UR - https://ritnms.itnms.ac.rs/handle/123456789/399 AB - The impact of various time-defendant factors on the recycling rate of end-of-life vehicles (ELV) in Republic of Serbia was investigated. Statistical distribution of the frequency of the number of ELV in the year of dismantling depending on the year of production of ELV is designed using the two-parameter Weibull distribution function and MATLAB software, based on a real time data. Obtaining the time-dependence of Weibull parameters, a statistical distribution of frequency of the number of ELV in the coming period in Serbia was simulated. These results in combination with amount of materials in the most abundant cars in Serbia were used to simulate the overall amount of materials, which are available for recycling, in the coming period. These results are essential for automotive recycling industry management, particularly for shredders, dismantlers and metal pre-processors. PB - Budapest Tech, Budapest T2 - Acta Polytechnica Hungarica T1 - Modeling and Prediction of the end of Life Vehicles Number Distribution in Serbia EP - 172 IS - 4 SP - 159 VL - 13 DO - 10.12700/APH.13.4.2016.4.10 UR - conv_771 ER -
@article{ author = "Sokić, Miroslav and Ilić, Ilija B. and Manojlović, Vaso and Marković, Branislav and Gulišija, Zvonko and Pavlović, Milan D. and Štrbac, Nada", year = "2016", abstract = "The impact of various time-defendant factors on the recycling rate of end-of-life vehicles (ELV) in Republic of Serbia was investigated. Statistical distribution of the frequency of the number of ELV in the year of dismantling depending on the year of production of ELV is designed using the two-parameter Weibull distribution function and MATLAB software, based on a real time data. Obtaining the time-dependence of Weibull parameters, a statistical distribution of frequency of the number of ELV in the coming period in Serbia was simulated. These results in combination with amount of materials in the most abundant cars in Serbia were used to simulate the overall amount of materials, which are available for recycling, in the coming period. These results are essential for automotive recycling industry management, particularly for shredders, dismantlers and metal pre-processors.", publisher = "Budapest Tech, Budapest", journal = "Acta Polytechnica Hungarica", title = "Modeling and Prediction of the end of Life Vehicles Number Distribution in Serbia", pages = "172-159", number = "4", volume = "13", doi = "10.12700/APH.13.4.2016.4.10", url = "conv_771" }
Sokić, M., Ilić, I. B., Manojlović, V., Marković, B., Gulišija, Z., Pavlović, M. D.,& Štrbac, N.. (2016). Modeling and Prediction of the end of Life Vehicles Number Distribution in Serbia. in Acta Polytechnica Hungarica Budapest Tech, Budapest., 13(4), 159-172. https://doi.org/10.12700/APH.13.4.2016.4.10 conv_771
Sokić M, Ilić IB, Manojlović V, Marković B, Gulišija Z, Pavlović MD, Štrbac N. Modeling and Prediction of the end of Life Vehicles Number Distribution in Serbia. in Acta Polytechnica Hungarica. 2016;13(4):159-172. doi:10.12700/APH.13.4.2016.4.10 conv_771 .
Sokić, Miroslav, Ilić, Ilija B., Manojlović, Vaso, Marković, Branislav, Gulišija, Zvonko, Pavlović, Milan D., Štrbac, Nada, "Modeling and Prediction of the end of Life Vehicles Number Distribution in Serbia" in Acta Polytechnica Hungarica, 13, no. 4 (2016):159-172, https://doi.org/10.12700/APH.13.4.2016.4.10 ., conv_771 .