For the prediction of formation of non-ferrous processing and accumulating waste both model of balancing and model of correlation and regression analysis can be employed, while the dynamic model can be applied only for the accumulating waste. Estimates of the formation of certain type of metallic secondary raw materials in model of balancing are based on data of production and consumption of metals and on the numerical values of the waste formation coefficients. Applying of correlation and regression analysis method on the assessment of metallic waste formation is based on finding the functional dependence between the creation of metallic waste and quantity of waste on the input stream of processing as well as correlation with metal fund for accumulation waste. The dynamic model are linking the effect of the products materials content and design on the amount of the quantity of the used products which are recycled over time, including various external influential factors.
Ključne reči:
sekundarne sirovine obijenih metala / reciklaža / modeli za prognozu
Izvor:
Journal of Engineering & Processing Management, 2013, 5, 1, 55-65
Izdavač:
University of East Sarajevo, Faculty of Technology
TY - JOUR
AU - Sokić, Miroslav
AU - Ilić, I.
AU - Gulišija, Zvonko
AU - Kamberović, Željko
AU - Štrbac, Nada
AU - Manojlović, Vaso
PY - 2013
UR - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/2288
AB - For the prediction of formation of non-ferrous processing and accumulating waste both model of balancing and model of correlation and regression analysis can be employed, while the dynamic model can be applied only for the accumulating waste. Estimates of the formation of certain type of metallic secondary raw materials in model of balancing are based on data of production and consumption of metals and on the numerical values of the waste formation coefficients. Applying of correlation and regression analysis method on the assessment of metallic waste formation is based on finding the functional dependence between the creation of metallic waste and quantity of waste on the input stream of processing as well as correlation with metal fund for accumulation waste. The dynamic model are linking the effect of the products materials content and design on the amount of the quantity of the used products which are recycled over time, including various external influential factors.
PB - University of East Sarajevo, Faculty of Technology
T2 - Journal of Engineering & Processing Management
T1 - Prediction models of non-ferrous secondary raw materials formation
EP - 65
IS - 1
SP - 55
VL - 5
UR - https://hdl.handle.net/21.15107/rcub_technorep_2288
ER -
@article{
author = "Sokić, Miroslav and Ilić, I. and Gulišija, Zvonko and Kamberović, Željko and Štrbac, Nada and Manojlović, Vaso",
year = "2013",
abstract = "For the prediction of formation of non-ferrous processing and accumulating waste both model of balancing and model of correlation and regression analysis can be employed, while the dynamic model can be applied only for the accumulating waste. Estimates of the formation of certain type of metallic secondary raw materials in model of balancing are based on data of production and consumption of metals and on the numerical values of the waste formation coefficients. Applying of correlation and regression analysis method on the assessment of metallic waste formation is based on finding the functional dependence between the creation of metallic waste and quantity of waste on the input stream of processing as well as correlation with metal fund for accumulation waste. The dynamic model are linking the effect of the products materials content and design on the amount of the quantity of the used products which are recycled over time, including various external influential factors.",
publisher = "University of East Sarajevo, Faculty of Technology",
journal = "Journal of Engineering & Processing Management",
title = "Prediction models of non-ferrous secondary raw materials formation",
pages = "65-55",
number = "1",
volume = "5",
url = "https://hdl.handle.net/21.15107/rcub_technorep_2288"
}
Sokić, M., Ilić, I., Gulišija, Z., Kamberović, Ž., Štrbac, N.,& Manojlović, V.. (2013). Prediction models of non-ferrous secondary raw materials formation. in Journal of Engineering & Processing Management
University of East Sarajevo, Faculty of Technology., 5(1), 55-65.
https://hdl.handle.net/21.15107/rcub_technorep_2288
Sokić M, Ilić I, Gulišija Z, Kamberović Ž, Štrbac N, Manojlović V. Prediction models of non-ferrous secondary raw materials formation. in Journal of Engineering & Processing Management. 2013;5(1):55-65.
https://hdl.handle.net/21.15107/rcub_technorep_2288 .
Sokić, Miroslav, Ilić, I., Gulišija, Zvonko, Kamberović, Željko, Štrbac, Nada, Manojlović, Vaso, "Prediction models of non-ferrous secondary raw materials formation" in Journal of Engineering & Processing Management, 5, no. 1 (2013):55-65,
https://hdl.handle.net/21.15107/rcub_technorep_2288 .
