Abstract
The concern with the disposal of waste generated by industry as well as by households is not recent. This work has sought to make a review on the production and disposal of the waste generated by electrical and electronic products, such as computers and mobile phones. Also, this review aimed to characterize the components of such waste and investigate the effectiveness of current methods of waste treatment. In addition, a tool is proposed to predict the production of computers in Brazil through the statistical method of autoregressive integrated moving average (ARIMA) models, which suggested the model ARIMA (0, 0, 1) to carry out the forecast. With this model, it was possible to suggest that the production of computers in Brazil, due to the global economic crisis, should continue to decrease.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Askham, C., Gade, A. L., & Hanssen, O. J. (2012). Combining REACH, environmental and economic performance indicators for strategic sustainable product development. Journal of Cleaner Production, 35, 71–78.
Borthakur, A., & Govind, M. (2017). Emerging trends in consumers’ E-waste disposal behaviour and awareness: A worldwide overview with special focus on India. Resources, Conservation and Recycling, 117, 102–113.
Coelho, M. S., Resende, F. M., & Fernandes, G. W. (2013). Chinese economic growth: Implications for Brazilian conservation policies. Natureza e Conservacao, 11, 88–91.
Cui, J., & Forssberg, E. (2003). Mechanical recycling of waste electric and electronic equipment: A review. Journal of Hazardous Materials, 99, 243–263.
Faru, O. D. (2010). A hybrid neural network and Arima model for water quality time series prediction. Engineering Applications of Artificial Intelligence, 23, 586594.
Garlapati, V. K. (2016). E-waste in india and developed countries: Management, recycling, business and biotechnological initiatives. Renewable and Sustainable Energy Rev., 54, 874–881.
Hadi, P., Barford, J., & McKay, G. (2013). Toxic heavy metal capture using a novel electronic waste-based material-mechanism, modeling and comparison. Environmental Science and Technology, 47, 8248–8255. PMID: 23837660.
Ho, S., Xie, M., & Goh, T. (2002). A comparative study of neural network and box-jenkins Arima modeling in time series prediction. Computers & Industrial Engineering, 42, 371375.
Jha, M. K., Kumari, A., Choubey, P. K., Lee, J. C., Kumar, V., & Jeong, J. (2012). Leaching of lead from solder material of waste printed circuit boards (PCBs). Hydrometallurgy, 121, 28–34.
Khashei, M., & Bijari, M. (2011). A novel hybridization of artificial neural networks and {ARIMA} models for time series forecasting. Applied Soft Computing, 11, 2664–2675. The Impact of Soft Computing for the Progress of Artificial Intelligence.
Khashei, M., Bijari, M., & Ardali, G. A. R. (2012). Hybridization of autoregressive integrated moving average (ARIMA) with probabilistic neural networks (PNNs). Computers & Industrial Engineering, 63(1), 37–45.
Li, J., Liu, L., Zhao, N., Yu, K., & Zheng, L. (2013). Regional or global WEEE recycling. Where to go? Waste Management, 33(4), 923–934.
Man, M., Naidu, R., & Wong, M. H. (2013). Persistent toxic substances released from uncontrolled e-waste recycling and actions for the future. Science of the Total Environment, 463, 1133–1137.
Moilanen, A. (2012). Spatial conservation prioritization in data-poor areas of the world. Natureza & Conservacao, 10, 1219.
Monjeau, A., & Smith-Flueck, J. A. (2013). The need to unmask lurking false friends: Sustainability is a state, not a process! Natureza & Conservacao, 11, 9698.
Rahmani, M., Nabizadeh, R., Yaghmaeian, K., Mahvi, A. H., & Yune, M. (2014). Estimation of waste from computers and mobile phones in iran. Resources, Conservation and Recycling, 87, 21–29.
Santagata, R., Ripa, M., & Ulgiati, S. (2017). An environmental assessment of electricity production from slaughterhouse residues. Linking urban, industrial and waste management systems. Applied Energy, 186, 175–188.
Sarkar, S., & Illoldirange, P. (2010). Systematic conservation planning: An updated protocol. Natureza & Conservao, 8, 1926.
Schnoor, J. L. (2012). Extended producer responsibility for e-waste. Environment science and technology. Washington, DC, USA: ACS Publications.
Schweers, M. E., Onuska, J. C., & Hanewald, R. H. (1990). A pyrometallurgical process for recycling cadmium containing batteries 03.
Simes, G. F., & Catapreta, C. A. A. (2013). Monitoring and modeling of long-term settlements of an experimental landfill in Brazil. Waste Management, 33, 420–430.
Song, Q., & Li, J. (2015). A review on human health consequences of metals exposure to e-waste in china. Environmental Pollution, 196, 450–461.
Tanskanen, P. (2013). Management and recycling of electronic waste. Acta Materialia, 61, 1001–1011. The Diamond Jubilee Issue Materials Challenges in Tomorrowas World Selected Topics in Materials Science and Engineering.
Zhang, K., Schnoor, J. L., & Zeng, E. Y. (2012). E-waste recycling: Where does it go from here? Environmental Science and Technology, 46, 10861–10867.
Acknowledgements
The authors thanks IFSULDEMINAS, CAPES, CNPq and Fapemig for the support in this research.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Albuquerque, C.A., Mello, C.H.P., Paes, V.C., Balestrassi, P.P., Souza, L.B. (2019). Electronic Junk: Best Practice of Recycling and Production Forecast Case Study in Brazil. In: Mula, J., Barbastefano, R., Díaz-Madroñero, M., Poler, R. (eds) New Global Perspectives on Industrial Engineering and Management. Lecture Notes in Management and Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-93488-4_15
Download citation
DOI: https://doi.org/10.1007/978-3-319-93488-4_15
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-93487-7
Online ISBN: 978-3-319-93488-4
eBook Packages: EngineeringEngineering (R0)