A proposed sustainable and digital collection and classification center model to manage e-waste in emerging economies

PurposeThis study aims to propose an electronic waste collection and classification system to enhance social, environmental and economic sustainability by integrating data-driven technologies in emerging economies.Design/methodology/approachGM (1, 1) model under grey prediction is used in this study in order to estimate the trend of the amount of collected electronic waste in emerging economies.FindingsIt is revealed that the amount of collected electronic waste is increasing day by day, and within the framework of sustainability in the process of collecting and classification of electronic waste, digital technologies were found to be lacking. It has been determined that this deficiency, together with the increasing amount of electronic waste, has caused environmental, social and economic damage to emerging economies.Originality/valueThe main originality of this study is integrating electronic waste collection and classification processes with data-driven technologies and sustainability, which is a relatively new subject.

[1]  A. Mohamed,et al.  Sustainable E-Waste Management in Asia: Analysis of Practices in Japan, Taiwan and Malaysia , 2016 .

[2]  H. Mostafaei,et al.  Hybrid Grey Forecasting Model for Iran’s Energy Consumption and Supply , 2012 .

[3]  M. López-Lambas,et al.  The Driverless Bus: An Analysis of Public Perceptions and Acceptability , 2019, Sustainability.

[4]  Carys Jones,et al.  Understanding e-Waste Management in Developing Countries: Strategies, Determinants, and Policy Implications in the Indian ICT Sector , 2014, Inf. Technol. Dev..

[5]  Xianbing Liu,et al.  Generation amount prediction and material flow analysis of electronic waste: a case study in Beijing, China , 2006, Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA.

[6]  Y. Tamura,et al.  Interval prediction of annual maximum demand using grey dynamic model , 1996 .

[7]  Rakesh D. Raut,et al.  Linking big data analytics and operational sustainability practices for sustainable business management , 2019, Journal of Cleaner Production.

[8]  John D. Kasarda,et al.  Logistics Is about Competitiveness and More , 2016 .

[9]  Amit Jain,et al.  E-waste assessment methodology and validation in India , 2006 .

[10]  Mincheol Kim,et al.  Management of used & end-of-life mobile phones in Korea: A review , 2010 .

[11]  Tuba Öztürk,et al.  Generation and management of electrical–electronic waste (e-waste) in Turkey , 2015 .

[12]  Shuo-Pei Chen,et al.  Forecasting of foreign exchange rates of Taiwan’s major trading partners by novel nonlinear Grey Bernoulli model NGBM(1, 1) , 2008 .

[13]  M. Ragazzi,et al.  Web-GIS oriented systems viability for municipal solid waste selective collection optimization in developed and transient economies. , 2013, Waste management.

[14]  N. Huda,et al.  Assessing the recycling potential of “unregulated” e-waste in Australia , 2020 .

[15]  Adnan Omar,et al.  Electronic Waste: A Growing Concern in Today's Environment , 2011 .

[16]  Melvin Samuel,et al.  Electronic waste – an emerging threat to the environment of urban India , 2014, Journal of Environmental Health Science and Engineering.

[17]  Cecilia Bengtsson,et al.  Waste flow mapping to improve sustainability of waste management : A case study approach , 2015 .

[18]  C K Nagendra Guptha,et al.  Electronic Waste Management System In Bangalore - A Review , 2010 .

[19]  Joseph LaDou,et al.  Export of Electronics Equipment Waste , 2008, International journal of occupational and environmental health.

[20]  Eric Williams,et al.  Forecasting global generation of obsolete personal computers. , 2010, Environmental science & technology.

[21]  K. Laitala,et al.  Understanding Consumer E-Waste Recycling Behavior: Introducing a New Economic Incentive to Increase the Collection Rates , 2019, Sustainability.

[22]  M. Aguilar Larrucea,et al.  Optimizing the collection of used paper from small businesses through GIS techniques: The Leganés case (Madrid, Spain) , 2008 .

[23]  W. Lindblad,et al.  The future is now , 2010, Nature.

[24]  Jeffrey Yi-Lin Forrest,et al.  The Current Developing Status on Grey System Theory , 2007 .

[25]  Callie W. Babbitt,et al.  The Consequences of Electronic Waste Post-Disaster: A Case Study of Flooding in Bonn, Germany , 2018, Sustainability.

[26]  Keshuang Tang,et al.  Empirical Analysis and Modeling of Stop-Line Crossing Time and Speed at Signalized Intersections , 2016, International journal of environmental research and public health.

[27]  Jacquetta Lee,et al.  The hibernating mobile phone: Dead storage as a barrier to efficient electronic waste recovery. , 2017, Waste management.

[28]  J. Linton,et al.  Sustainable supply chains: An introduction , 2007 .

[29]  Wolfgang Walk,et al.  Forecasting quantities of disused household CRT appliances--a regional case study approach and its application to Baden-Württemberg. , 2009, Waste management.

[30]  Atsushi Terazono,et al.  Estimating the amount of WEEE generated in South Korea by using the population balance model. , 2013, Waste management.

[31]  E. Zavadskas,et al.  Sustainable Business Models: A Review , 2019, SSRN Electronic Journal.

[32]  Ming Xu,et al.  The stability and profitability of the informal WEEE collector in developing countries: A case study of China , 2016 .

[33]  Vijay Kumar Garlapati,et al.  E-waste in India and developed countries: Management, recycling, business and biotechnological initiatives , 2016 .

[34]  Kun Chen,et al.  Forecasting and Analyzing the Disease Burden of Aged Population in China, Based on the 2010 Global Burden of Disease Study , 2015, International journal of environmental research and public health.

[35]  Mahdi Ikhlayel,et al.  An integrated approach to establish e-waste management systems for developing countries , 2018 .

[36]  Ruediger Kuehr,et al.  E-waste in China: a country report , 2013 .

[37]  Tzu-Li Tien,et al.  A new grey prediction model FGM(1, 1) , 2009, Math. Comput. Model..

[38]  Kara M. Kockelman,et al.  The Travel and Environmental Implications of Shared Autonomous Vehicles, Using Agent-Based Model Scenarios , 2014 .

[39]  Keiichi N. Ishihara,et al.  Use and disposal of large home electronic appliances in Vietnam , 2009 .

[40]  Dabo Guan,et al.  China's toxic informal e-waste recycling:Local approaches to a global environmental problem , 2016 .

[41]  Ni-Bin Chang,et al.  Prediction analysis of solid waste generation based on grey fuzzy dynamic modeling , 2000 .

[42]  Sudhakar Yedla,et al.  Development of a methodology for electronic waste estimation: A material flow analysis-based SYE-Waste Model , 2016, Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA.

[43]  C. Ratti,et al.  The future of waste management in smart and sustainable cities: A review and concept paper. , 2018, Waste management.

[44]  Sami Gören,et al.  Regulation of waste and waste management in Turkey , 2011, Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA.

[45]  Amit Kumar,et al.  E-waste: An overview on generation, collection, legislation and recycling practices , 2017 .

[46]  Mahdi Ikhlayel,et al.  Differences of methods to estimate generation of waste electrical and electronic equipment for developing countries: Jordan as a case study , 2016 .

[47]  Hesti Maheswari,et al.  Government and Intermediary Business Engagement for Controlling Electronic Waste in Indonesia: A Sustainable Reverse Logistics Theory through Customer Value Chain Analysis , 2019, Sustainability.

[48]  Li Daoliang,et al.  Forecasting municipal solid waste generation based on grey fuzzy dynamic modeling , 2007 .

[49]  S. Nasseri,et al.  Removal of Arsenic (III, V) from aqueous solution by nanoscale zero-valent iron stabilized with starch and carboxymethyl cellulose , 2014, Journal of Environmental Health Science and Engineering.

[50]  Okyay Kaynak,et al.  Grey system theory-based models in time series prediction , 2010, Expert Syst. Appl..

[51]  João Barata,et al.  Mobile supply chain management in the Industry 4.0 era: An annotated bibliography and guide for future research , 2017, J. Enterp. Inf. Manag..

[52]  ANALYSIS OF SUPPLY CHAINS IN THE RECYCLING OF ELECTRONIC WASTE. : Resource efficiency within recycling supply chains , 2017 .

[53]  Kelsea A. Schumacher,et al.  Towards comprehensive e-waste legislation in the United States: Design considerations based on quantitative and qualitative assessments , 2019, Resources, Conservation and Recycling.

[54]  Oladele Osibanjo,et al.  Electronic waste (e-waste): material flows and management practices in Nigeria. , 2008, Waste management.

[55]  Fahim Arif,et al.  Smart urban planning using big data analytics based internet of things , 2017, UbiComp/ISWC Adjunct.

[56]  Chong Liu,et al.  The GM(1,1) Model Optimized by Using Translation Transformation Method and Its Application of Rural Residents’ Consumption in China , 2015 .

[57]  Baizhan Li,et al.  PREDICTION OF E-WASTE GENERATION BASED ON GREY MODEL (1,1) AND MANAGEMENT IN BOTSWANA , 2018 .

[58]  Ninoslav Slavek,et al.  Application of Grey System Theory to Software Projects Ranking , 2012 .

[59]  Masahiro Oguchi,et al.  Product flow analysis of various consumer durables in Japan , 2008 .

[60]  R. Barman,et al.  Forecasting of Potential Electronic Waste in Guwahati , 2017 .

[61]  S. Mangla,et al.  Evaluating challenges to Industry 4.0 initiatives for supply chain sustainability in emerging economies , 2018, Process Safety and Environmental Protection.

[62]  Hussein I. Abdel-Shafy,et al.  Solid waste issue: Sources, composition, disposal, recycling, and valorization , 2018, Egyptian Journal of Petroleum.

[63]  A. Mantovani,et al.  Diagnostic health risk assessment of electronic waste on the general population in developing countries' scenarios , 2010 .

[64]  Beverley Clarke,et al.  Barriers to Effective Municipal Solid Waste Management in a Rapidly Urbanizing Area in Thailand , 2017, International journal of environmental research and public health.

[65]  Sunil Kumar,et al.  E‐waste: a new challenge for waste management in India , 2004 .

[66]  Xiaobing Yang,et al.  The analysis of GM (1, 1) grey model to predict the incidence trend of typhoid and paratyphoid fevers in Wuhan City, China , 2018, Medicine.

[67]  Suthipong Sthiannopkao,et al.  Handling e-waste in developed and developing countries: initiatives, practices, and consequences. , 2013, The Science of the total environment.

[68]  Madhav Govind,et al.  Emerging trends in consumers’ E-waste disposal behaviour and awareness: A worldwide overview with special focus on India , 2017 .

[69]  Callie W. Babbitt,et al.  Forecasting electronic waste flows for effective circular economy planning , 2019 .

[70]  Atsushi Terazono,et al.  Material flow analysis of used personal computers in Japan. , 2009, Waste management.

[71]  R. K. Mittal,et al.  Estimation of future outflows of e-waste in India. , 2010, Waste management.

[72]  Park Jk,et al.  Effects of Electronic Waste on Developing Countries , 2017 .

[73]  Shunsuke Managi,et al.  On the effectiveness of a license scheme for E-waste recycling: The challenge of China and India , 2010 .

[74]  Samir Lamouri,et al.  Lean/Green integration focused on waste reduction techniques , 2016 .

[75]  Zhe Li,et al.  Study on the Production and Trend of the Electronic Waste in China Based on Grey Prediction Model , 2012 .

[76]  Che Rosmawati Che Mohd Zain,et al.  Increasing production and eliminating waste through lean tools and techniques for Halal food companies , 2014 .

[77]  D Mmereki,et al.  Estimation of waste electronic and electrical equipment arising in Botswana-A case study of Gaborone City , 2012 .

[78]  Pavel Popela,et al.  Quantity-Predictive Vehicle Routing Problem for Smart Waste Collection , 2019 .

[79]  Fachao Li,et al.  AN OPTIMAL MULTIVARIABLE GREY MODEL FOR LOGISTICS DEMAND FORECAST , 2013 .

[80]  Alessandro Giusti,et al.  Early detection and evaluation of waste through sensorized containers for a collection monitoring application. , 2009, Waste management.

[81]  Sifeng Liu,et al.  A Grey NGM(1,1, k) Self-Memory Coupling Prediction Model for Energy Consumption Prediction , 2014, TheScientificWorldJournal.

[82]  Chan Zhang,et al.  Generation of and control measures for, e-waste in Hong Kong. , 2011, Waste management.

[83]  Jun Bi,et al.  Predicting future quantities of obsolete household appliances in Nanjing by a stock-based model , 2011 .

[84]  I. Volchyn,et al.  Flue gas dedusting in venturi scrubbers at thermal power plants , 2018 .

[85]  Sayed Ali Ahmed Elmustafa,et al.  Internet of things in Smart Environment: Concept, Applications, Challenges, and Future Directions , 2019 .

[86]  Andrew Whyte,et al.  A Review of the Transformation of Road Transport Systems: Are We Ready for the Next Step in Artificially Intelligent Sustainable Transport? , 2019, Applied System Innovation.

[87]  Haiyan Song,et al.  Tourism demand modelling and forecasting—A review of recent research , 2008 .