How to improve WEEE management? Novel approach in mobile collection with application of artificial intelligence

Waste Management

Volumn 50, Issue , 2016, Pages 222-233

  Król, Aleksander ^a   Nowakowski, Piotr ^a   Mrówczyńska, Bogna ^a  

^a SILESIAN UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

Customer satisfaction; Fuzzy logic; Genetic algorithms; Route optimisation; WEEE collection

Indexed keywords

APPLICATION PROGRAMS; ARTIFICIAL INTELLIGENCE; COMPUTER CIRCUITS; CUSTOMER SATISFACTION; FUZZY LOGIC; GENETIC ALGORITHMS; OPTIMIZATION; RECONFIGURABLE HARDWARE;

COLLECTION SCHEMES; COLLECTION SYSTEMS; ELECTRICAL AND ELECTRONIC WASTES; FUTURE APPLICATIONS; MOBILE PHONE APPLICATIONS; NEW APPLICATIONS; NUMBER OF VEHICLES; ROUTE OPTIMISATION;

WASTE MANAGEMENT;

FUEL;

FUZZY MATHEMATICS; GENETIC ALGORITHM; MUNICIPAL SOLID WASTE; OPTIMIZATION; WASTE DISPOSAL; WASTE MANAGEMENT;

ARTICLE; ARTIFICIAL INTELLIGENCE; ELECTRONIC WASTE; ENVIRONMENTAL MANAGEMENT; ENVIRONMENTAL MONITORING; ENVIRONMENTAL PLANNING; EXHAUST GAS; GENETIC ALGORITHM; GEOGRAPHIC DISTRIBUTION; GEOGRAPHIC INFORMATION SYSTEM; HOUSEHOLD; MOBILE APPLICATION; POLAND; PRIORITY JOURNAL; PROCESS OPTIMIZATION; RECYCLING; RESIDENTIAL AREA; WASTE MANAGEMENT; ANALYSIS; CITY; PROCEDURES; THEORETICAL MODEL; WASTE DISPOSAL;

POLAND [CENTRAL EUROPE];

ARTIFICIAL INTELLIGENCE; CITIES; ELECTRONIC WASTE; MODELS, THEORETICAL; POLAND; RECYCLING; REFUSE DISPOSAL; WASTE MANAGEMENT;

EID: 84977962819     PISSN: 0956053X     EISSN: 18792456     Source Type: Journal    
DOI: 10.1016/j.wasman.2016.02.033     Document Type: Article

References (57)

1. Achillas C., Aidonis D., Vlachokostas C., Moussiopoulos N., Banias G., Triantafillou D. A multi-objective decision-making model to select waste electrical and electronic equipment transportation media. Resour. Conserv. Recycl. 2012, 66:76-84. 10.1016/j.resconrec.2012.01.004.
2. Arikan E., Şimşit-Kalender Z.T., Vayvay Ö. Solid waste disposal methodology selection using multi-criteria decision making methods and an application in Turkey. J. Clean. Prod. 2015, 10.1016/j.jclepro.2015.10.054.
3. Běhounek L. On the difference between traditional and deductive fuzzy logic. Fuzzy Sets Syst. 2008, 159:1153-1164. 10.1016/j.fss.2007.12.004.
4. Bereketli I., Erol Genevois M., Esra Albayrak Y., Ozyol M. WEEE treatment strategies' evaluation using fuzzy LINMAP method. Expert Syst. Appl. 2011, 38:71-79. 10.1016/j.eswa.2010.06.015.
5. Bogaert S., Van Acoleyen M., Van Tomme I., De Smet L., Fleet D., Salado R. Study on RoHS and WEEE Directives 2008, ARCADIS RPA DG ENTR Eur. Comm.
6. Chang N.-B., Lu H.Y., Wei Y.L. GIS technology for vehicle routing and scheduling in solid waste collection systems. J. Environ. Eng. 1997, 123:901-910.
7. Chiang T.-C., Hsu W.-H. A knowledge-based evolutionary algorithm for the multiobjective vehicle routing problem with time windows. Comput. Oper. Res. 2014, 45:25-37. 10.1016/j.cor.2013.11.014.
8. Darby L., Obara L. Household recycling behaviour and attitudes towards the disposal of small electrical and electronic equipment. Resour. Conserv. Recycl. 2005, 44:17-35. 10.1016/j.resconrec.2004.09.002.
9. Darwin C. On the Origin of Species by Means of Natural Selection: Or the Preservation of Favoured Races in the Struggle for Life 1869, D. Appleton.
10. Dosal E., Viguri J.R., Andrés A. Multi-criteria decision-making methods for the optimal location of construction and demolition waste (C&DW) recycling facilities. Handbook of Recycled Concrete and Demolition Waste 2013, 76-107. Elsevier.
11. Dwivedy M., Suchde P., Mittal R.K. Modeling and assessment of e-waste take-back strategies in India. Resour. Conserv. Recycl. 2015, 96:11-18. 10.1016/j.resconrec.2015.01.003.
12. eSCHROT eSCHROTT RECYCLING - Nicht für die tonne. Application for Finding WEEE Collection Points [WWW Document], (in German, accessed 6.18.15). http://www.umweltmanager.net/recyclingsuche-app.
13. European Commission, 2012. Directive 2012/19/EU of the European Parliament and of the Council of 4 July 2012 on Waste Electrical and Electronic Equipment (WEEE) Text with EEA Relevance - LexUriServ.do.
14. Eurostat Waste electrical and electronic equipment (WEEE) [WWW Document], (accessed 10.1.14). http://epp.eurostat.ec.europa.eu/portal/page/portal/waste/data/wastestreams/weee.
15. Ewaste App Ewaste App. Application for requesting free electronic waste recycling services [WWW Document], (accessed 6.18.15). http://app.appsgeyser.com/Ewaste%20App/.
16. Faccio M., Persona A., Zanin G. Waste collection multi objective model with real time traceability data. Waste Manage. 2011, 31:2391-2405. 10.1016/j.wasman.2011.07.005.
17. Friege H., Oberdörfer M., Günther M. Optimising waste from electric and electronic equipment collection systems: a comparison of approaches in European countries. Waste Manage. Res. 2015, 33:223-231.
18. Gamberini R., Gebennini E., Rimini B. An innovative container for WEEE collection and transport: details and effects following the adoption. Waste Manage. 2009, 29:2846-2858.
19. Gatersleben B., Steg L., Vlek C. Measurement and determinants of environmentally significant consumer behavior. Environ. Behav. 2002, 34:335-362. 10.1177/0013916502034003004.
20. Ghannadpour S.F., Noori S., Tavakkoli-Moghaddam R. A multi-objective vehicle routing and scheduling problem with uncertainty in customers' request and priority. J. Comb. Optim. 2014, 28:414-446. 10.1007/s10878-012-9564-x.
21. Ghannadpour S.F., Noori S., Tavakkoli-Moghaddam R. Multiobjective dynamic vehicle routing problem with fuzzy travel times and customers & satisfaction in supply chain management. IEEE Trans. Eng. Manage. 2013, 60:777-790. 10.1109/TEM.2013.2257794.
22. Goldberg D.E. Genetic Algorithms in Search, Optimization and Machine Learning 1989, Addison-Wesley Longman Publishing Co., Inc.
23. GUS Gospodarstwa domowe w 2011 roku - wyniki spisu ludności i mieszkań 2011 2012, Central Statistical Office of Poland, (in Polish).
24. Helgesen Ø. Are loyal customers profitable? Customer satisfaction, customer (action) loyalty and customer profitability at the individual level. J. Mark. Manage. 2006, 22:245-266.
25. Hicks C., Dietmar R., Eugster M. The recycling and disposal of electrical and electronic waste in China-legislative and market responses. Environ. Impact Assess. Rev. 2005, 25:459-471. 10.1016/j.eiar.2005.04.007.
26. Hill N., Alexander J. The Handbook of Customer Satisfaction and Loyalty Measurement 2006, Gower.
27. Holland J.H. Adaptation in Natural and Artificial Systems. An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence 1975, U Michigan Press, Oxford, England.
28. Huisman, J., Magalini, F., 2007. 2008 Review of Directive 2002/96 on Waste Electrical and Electronic Equipment (WEEE).
29. Kuo R.J., Zulvia F.E., Suryadi K. Hybrid particle swarm optimization with genetic algorithm for solving capacitated vehicle routing problem with fuzzy demand - a case study on garbage collection system. Appl. Math. Comput. 2012, 219:2574-2588. 10.1016/j.amc.2012.08.092.
30. Lau H.C.W., Chan T.M., Tsui W.T., Chan F.T.S., Ho G.T.S., Choy K.L. A fuzzy guided multi-objective evolutionary algorithm model for solving transportation problem. Expert Syst. Appl. 2009, 36:8255-8268. 10.1016/j.eswa.2008.10.031.
31. Li J., Liu L., Ren J., Duan H., Zheng L. Behavior of urban residents toward the discarding of waste electrical and electronic equipment: a case study in Baoding, China. Waste Manage. Res. 2012, 30:1187-1197. 10.1177/0734242X12456728.
32. Liu S., Huang W., Ma H. An effective genetic algorithm for the fleet size and mix vehicle routing problems. Transport. Res. Part E: Logist. Transport. Rev. 2009, 45:434-445. 10.1016/j.tre.2008.10.003.
33. Mamdani E.H. Application of fuzzy logic to approximate reasoning using linguistic synthesis. IEEE Trans. Comput. 1977, 100:1182-1191.
34. Mamdani E.H. Advances in the linguistic synthesis of fuzzy controllers. Int. J. Man-Mach. Stud. 1976, 8:669-678. 10.1016/S0020-7373(76)80028-4.
35. Medvedev A., Fedchenkov P., Zaslavsky A., Anagnostopoulos T., Khoruzhnikov S. Waste management as an IoT-enabled service in smart cities. Internet of Things, Smart Spaces, and Next Generation Networks and Systems: 15th International Conference, NEW2AN 2015, and 8th Conference, ruSMART 2015, St. Petersburg, Russia, August 26-28, 2015, Proceedings 2015, 104-115. Springer International Publishing, Cham. S. Balandin, S. Andreev, Y. Koucheryavy (Eds.).
36. Meuter M.L., Ostrom A.L., Roundtree R.I., Bitner M.J. Self-service technologies: understanding customer satisfaction with technology-based service encounters. J. Mark. 2000, 64:50-64.
37. Milovantseva N., Saphores J.-D. E-waste bans and U.S. households' preferences for disposing of their e-waste. J. Environ. Manage. 2013, 124:8-16. 10.1016/j.jenvman.2013.03.019.
38. Mota B., Gomes M.I., Carvalho A., Barbosa-Povoa A.P. Towards supply chain sustainability: economic, environmental and social design and planning. J. Clean. Prod. 2015, 105:14-27. 10.1016/j.jclepro.2014.07.052.
39. Nowak M., Ergun Ö., White Chelsea C. Pickup and delivery with split loads. Transport. Sci. 2008, 42:32-43.
40. Oguchi M., Sakanakura H., Terazono A., Takigami H. Fate of metals contained in waste electrical and electronic equipment in a municipal waste treatment process. Waste Manage. 2012, 32:96-103. 10.1016/j.wasman.2011.09.012.
41. Ongondo F., Williams I., Cherrett T. How are WEEE doing? A global review of the management of electrical and electronic wastes. Waste Manage. 2010, 31:714-730. 10.1016/j.wasman.2010.10.023.
42. Pires A., Martinho G., Chang N.-B. Solid waste management in European countries: a review of systems analysis techniques. J. Environ. Manage. 2011, 92:1033-1050. 10.1016/j.jenvman.2010.11.024.
43. Robinson B.H. E-waste: an assessment of global production and environmental impacts. Sci. Total Environ. 2009, 408:183-191.
44. Ross T.J. Fuzzy Logic with Engineering Applications 2004, John Wiley, Hoboken, NJ. second ed.
45. Salhofer S., Schneider F., Obersteiner G. The ecological relevance of transport in waste disposal systems in Western Europe. Waste Manage. 2007, 27:S47-S57. 10.1016/j.wasman.2007.02.025.
46. Saphores J.-D.M., Ogunseitan O.A., Shapiro A.A. Willingness to engage in a pro-environmental behavior: an analysis of e-waste recycling based on a national survey of U.S. households. Resour. Conserv. Recycl. 2012, 60:49-63. 10.1016/j.resconrec.2011.12.003.
47. Shi L., Sun J., Lu S., Yin M. Flexible planning using fuzzy description logics: theory and application. Appl. Soft Comput. 2009, 9:142-148. 10.1016/j.asoc.2008.03.013.
48. Song Q., Wang Z., Li J. Residents' behaviors, attitudes, and willingness to pay for recycling e-waste in Macau. J. Environ. Manage. 2012, 106:8-16. 10.1016/j.jenvman.2012.03.036.
49. Tasan A.S., Gen M. A genetic algorithm based approach to vehicle routing problem with simultaneous pick-up and deliveries. Comput. Ind. Eng. 2012, 62:755-761. 10.1016/j.cie.2011.11.025.
50. Ursani Z., Essam D., Cornforth D., Stocker R. Localized genetic algorithm for vehicle routing problem with time windows. Appl. Soft Comput. 2011, 11:5375-5390. 10.1016/j.asoc.2011.05.021.
51. Wang Z., Zhang B., Yin J., Zhang X. Willingness and behavior towards e-waste recycling for residents in Beijing city, China. J. Clean. Prod. 2011, 19:977-984. 10.1016/j.jclepro.2010.09.016.
52. Wath S.B., Dutt P.S., Chakrabarti T. E-waste scenario in India, its management and implications. Environ. Monit. Assess. 2011, 172:249-262. 10.1007/s10661-010-1331-9.
53. Widmer R., Oswald-Krapf H., Sinha-Khetriwal D., Schnellmann M., Böni H. Global perspectives on e-waste. Environ. Impact Assess. Rev. 2005, 25:436-458.
54. Xu Y., Huang G.H., Cheng G.H., Liu Y., Li Y.F. A two-stage fuzzy chance-constrained model for solid waste allocation planning. J. Environ. Inform. 2014, 24:101-110.
55. Yeh C.-H., Xu Y. Sustainable planning of e-waste recycling activities using fuzzy multicriteria decision making. J. Clean. Prod. 2013, 52:194-204. 10.1016/j.jclepro.2013.03.003.
56. Zeithaml V.A. Service quality, profitability, and the economic worth of customers: what we know and what we need to learn. J. Acad. Mark. Sci. 2000, 28:67-85.
57. Zsigraiova Z., Semiao V., Beijoco F. Operation costs and pollutant emissions reduction by definition of new collection scheduling and optimization of MSW collection routes using GIS. The case study of Barreiro, Portugal. Waste Manage. 2013, 33:793-806. 10.1016/j.wasman.2012.11.015.