Preview

Organization of Logistics Operations for Transportation of Household Electronic Waste in Cities

https://doi.org/10.21122/2227-1031-2022-21-6-517-524

Abstract

The paper presents the methodological provisions for the organization of logistics operations during the transportation of household electronic waste in large cities. Human activity is accompanied by the formation of waste, the amount of which has recently increased. In modern conditions, households actively use electronic and electrical devices. Therefore, a lot of household electronic and electrical waste is generated, which is hazardous to the environment and must be disposed of in accordance with legal requirements. The efficiency of disposal of household electronic waste depends on the organization of logistics operations for the collection, accumulation and removal of such waste. The main methodological stages of logistical support for the recycling process include the formation of a hierarchy of territorial formations (taxons), standardization of waste generation indicators for taxa of each level in the hierarchy, designing the configuration of a network of collection points for acceptance and temporary storage of waste within the boundaries of the service area, substantiating the rational storage capacity of each point and deadlines for waste storage; planning the transportation of waste from accumulation points to objects of their further processing. When planning the transportation of waste, the actual volume of waste accumulation at each collection point is taken into account, transportation routes are designed for the shortest distances, taking into account the capacity of vehicles. The main feature of the developed method of waste removal is the operational adjustment of routes so that the car drives only to those accumulation points where the actual volume of waste has reached the maximum storage capacity. This approach ensures timely waste collection and lower transportation costs compared to existing methods that organize waste collection at a specified frequency. The developed methodology was tested on the basis of statistical data from Hanoi (Vietnam). The results of numerical experiments show that the application of methods provides a reduction in transport costs for the removal of household electronic waste, and also increases the level of their collection and disposal.

About the Authors

D. V. Kapskiy
Belarusian National Technical University
Belarus

Address for correspondence:
Kapskiy Denis V. –
Belarusian National Technical University,
12, Ya. Kolasa str., 
220013, Minsk, Republic of Belarus
Tel.: +375 17 293-95-70
oapdd_atf@bntu.by



O. N. Larin
Russian University of Transport
Russian Federation

Moscow



Thi Thu Huong Nguyen
Plekhanov Russian University of Economics
Russian Federation

Moscow



L. V. Khmelnitskaya
Belarusian National Technical University
Belarus

Minsk



References

1. Widmer R., Oswald-Krapf H., Sinha-Khetriwal D., Schnellmann M., Böni H. (2005) Global Perspectives on E-Waste. Environmental Impact Assessment Review, 25 (5), 436–458. https://doi.org/10.1016/j.eiar.2005.04.001.

2. Ho S. T., Tong D. Y. K., Ahmed E. M., Lee C. T. (2012) Factors Influencing Household Electronic Waste Recycling Intention. Advanced Materials Research, 622–623, 1686–1690. https://doi.org/10.4028/www.scientific.net/amr.622-623.1686.

3. Babu B. R., Parande A. K., Basha C. A. (2007) Electrical and Electronic Waste: A Global Environmental Problem. Waste Management & Research, 25, 307–318. http://dx.doi.org/10.1177/0734242X07076941.

4. Bartoleto P. (2015) Waste Prevention Policy and Behaviour, New Approaches to Reducing Waste Generation and Its Environmental Impacts, Routledge Studies in Waste Management and Policy. Routledge, London.

5. Yoshida A., Terazono A., Florencio Ballesteros Jr. C., Nguyen D. Q., Sunkandar S., Kojima M., Sakata S. (2016) E-Waste Recycling Processes in Indonesia, the Philippines, and Vietnam: A Case Study of Cathode Ray Tube TVs and Monitors. Resources, Conservation and Recycling, 106, 48–48. https://doi.org/10.1016/j.resconrec.2015.10.020.

6. Chiang T., Che Z. H., Cui Z. (2014) Designing a Multistage Supply Chain in Cross-Stage Reverse Logistics Environments: Application of Particle Swarm Optimization Algorithms. The Scientific World Journal, 2014, https://doi.org/10.1155/2014/595902.

7. Nguyen T. T. H., Larin O. (2022) Improving Organizational and Economic Conditions for E-Waste Logistics Support. Ekonomika, Predprinimatelstvo i Pravo = Journal of Economics, Entrepreneurship and Law, 12 (1), 333–348. https://doi.org/10.18334/epp.12.1.114117 (in Russian).

8. Manuel V., Miguel A., Natalia K., Guillermo F. (2021) Reverse Logistics for Solid Waste from the Construction Industry. Advances in Civil Engineering, 2021, 1–11. (2021). https://doi.org/10.1155/2021/6654718.

9. Nguyen T. V. (2012) Solid Waste Separation at Source: Necessary and Sufficient Condition for Waste Management in Ho Chi Minh. Int. J. Environ. Sci. Sustain. Dev, 1, 1–9.

10. Vietnam Environment Monitor 2004. Solid Waste. Available at: https://documents1.worldbank.org/curated/en/724701468308959503/pdf/331510rev0PAPER0VN0Env0Monitor02004.pdf (accessed 10 May 2021).

11. Kallel A., Serbaji M. M., Zairi M. (2016) Using GIS-Based tools for the Optimization of Solid Waste Collection and Transport: Case Study of Stax City, Tunisia. Journal of Engineering, 10, 1–7. https://doi.org/10.1155/2016/4596849.

12. MacGregor J. N., Chu Y. (2011) Human Performance on the Traveling Salesman and Related Problems: A Review. The Journal of Problem Solving, 3, (2), 1–29. https://doi.org/10.7771/1932-6246.1090.

13. Korte B., Vygen J. (ed.) (2018) Combinatorial Optimization. Theory and Algorithms. Springer-Verlag Berlin Heidelberg. https://doi.org/10.1007/978-3-662-56039-6.

14. Larin O., Tarasov D., Mirotin L., Rublev V., Kapski D. (2021) Resilient Supply Chain Management Model. SHS Web of Conferences, 93, 03005. https://doi.org/10.1051/shsconf/20219303005.

15. Brunner P. H., Rechberger H. (2015) Waste to Energy-Key Element For Sustainable Waste Management. Waste Mana-gement, 37, 3–12. https://doi.org.10.1016/j.wasman.2014.02.003.


Review

For citations:


Kapskiy D.V., Larin O.N., Nguyen T.H., Khmelnitskaya L.V. Organization of Logistics Operations for Transportation of Household Electronic Waste in Cities. Science & Technique. 2022;21(6):517-524. https://doi.org/10.21122/2227-1031-2022-21-6-517-524

Views: 578


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2227-1031 (Print)
ISSN 2414-0392 (Online)