Skip to main content

Advertisement

Log in

Closed-loop supply network of electrical and electronic equipment under carbon tax policy

  • Research Article
  • Published:
Environmental Science and Pollution Research Aims and scope Submit manuscript

Abstract

Waste electrical and electronic equipment is one of the essential pollutants with significant negative impacts on the environment and human health. In this study, a multi-period mixed-integer linear programming model is developed to design a closed loop supply network for the management of electrical and electronic equipment by explicitly considering the economic and environmental sustainability with a budget constraint. Different recycling options like refurbishing, disassembling, remanufacturing, and disposal centers are considered in the design of the network. The model minimizes the total costs of the network and the total carbon emission tax. The literature review shows that the introduced model is more comprehensive than the other existing models because it simultaneously determines the location of facilities, the capacity of facilities, type of manufacturing technologies, variety of vehicles, and the allocation and transportation of materials and products. The model was applied to a real-life case study in Iran and could provide a profit of IRR 245,509,165 M during the planning periods. The carbon tax policy with different echelons is applied to control the environmental impacts in which the carbon tax increases as carbon emissions increase. The results show a nearly linear relationship between the total costs of the network and the carbon tax. The carbon tax of equal to or more than 10,800 IRR/t CO2 can be a deterrent factor for the electrical and electronic equipment manufacturer in Iran to diminish emissions through investment in green technologies.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

Data availability

The data and materials used in this study would be available on request.

References

  • AHAM (2020) Statistical report of Iran Home Appliance Industry Association on 2019. Association of Home Appliance Manufacturers (AHAM), Tehran, Iran

  • Ali SS, Paksoy T, Torğul B, Kaur R (2020) Reverse logistics optimization of an industrial air conditioner manufacturing company for designing sustainable supply chain: a fuzzy hybrid multi-criteria decision-making approach. Wireless Netw 26:5759–5782

    Article  Google Scholar 

  • Alumur SA, Nickel S, Saldanha-da-Gama F, Verter V (2012) Multi-period reverse logistics network design. Eur J Oper Res 220:67–78

    Article  Google Scholar 

  • Ayvaz B, Bolat B, Aydin N (2015) Stochastic reverse logistics network design for waste of electrical and electronic equipment. Resour Conserv Recycl 104:391–404

    Article  Google Scholar 

  • Batista L, Bourlakis M, Smart P, Maull R (2018) In search of a circular supply chain archetype – a content-analysis-based literature review. Prod Plan Control 29:438–451

    Article  Google Scholar 

  • Budak A (2020) Sustainable reverse logistics optimization with triple bottom line approach: An integration of disassembly line balancing. J Clean Prod 270:122475

    Article  Google Scholar 

  • Chen YT, Chan FTS, Chung SH (2015) An integrated closed-loop supply chain model with location allocation problem and product recycling decisions. Int J Prod Res 53:3120–3140

    Article  Google Scholar 

  • Dat LQ, Linh DTT, Chou SY, Vincent FY (2012) Optimizing reverse logistic costs for recycling end-of-life electrical and electronic products. Expert Syst Appl 39:6380–6387

    Article  Google Scholar 

  • Elbadrawy R, Moneim AFA, Fors MN (2015) E-waste reverse logistic optimization in Egypt. International Conference on Industrial Engineering and Operations Management (IEOM), Dubai, United Arab Emirates, pp 1–6. https://doi.org/10.1109/IEOM.2015.7093747

  • EU (2003) Directive 2002/96/EC of the European parliament and of the council of 27 January 2003 on waste electrical and electronic equipment (WEEE). Off J Eur Union, L037(46):24–39

  • EU (2011) Directive 2011/65/EU of the European Parliament and of the Council of 8 June 2011 on the restriction of the use of certain hazardous substances in electrical and electronic equipment (recast). Off J Eur Union L174(54):88–110

  • Garey MR, Johnson DS (1979) Computers And Intractability: A guide to the Theory of NP-Completeness. W. H. Freeman and Company, United States

    Google Scholar 

  • Guo J, Xiang Y (2022) Cost–benefit analysis of Gencos market trading with carbon-tax and cap-and-trade policies. Energy Rep 8:900–907

    Article  Google Scholar 

  • Han Y, Tang Zh, Sun J, Xing X, Zhang M, Cheng J (2019) Heavy metals in soil contaminated through e-waste processing activities in a recycling area: Implications for risk management. Process Saf Environ Prot 125:189–196

    Article  CAS  Google Scholar 

  • Hou Sh, Chen X, Qiu R (2022) Sustainable biofuel consumption in air passenger transport driven by carbon-tax policy. Sustain Prod Consum 31:478–491

    Article  Google Scholar 

  • Huang T, Zhu J, Huang X, Ruan J, Xu Zh (2022) Assessment of precious metals positioning in waste printed circuit boards and the economic benefits of recycling. Waste Manag 139:105–115

    Article  CAS  Google Scholar 

  • Islam MD, Huda N (2018) Reverse logistics and closed-loop supply chain of Waste Electrical and Electronic Equipment (WEEE)/E-waste: A comprehensive literature review. Resour Conserv Recycl 137:48–75

    Article  Google Scholar 

  • Kaoud E, Abdel-Aal MAM, Sakaguchi T, Uchiyama N (2022) Robust Optimization for a Bi-Objective Green Closed-Loop Supply Chain with Heterogeneous Transportation System and Presorting Consideration. Sustainability 14:10281

    Article  Google Scholar 

  • Kilic HS, Cebeci U, Ayhan MB (2015) Reverse logistics system design for the waste of electrical and electronic equipment (WEEE) in Turkey. Resour Conserv Recycl 95:120–132

    Article  Google Scholar 

  • Kumar A, Gaur D, Liu Y, Sharma D (2022) Sustainable waste electrical and electronic equipment management guide in emerging economies context: A structural model approach. J Clean Prod 336:130391

    Article  Google Scholar 

  • Lahtela V, Hamod H, Karki T (2022) Assessment of critical factors in waste electrical and electronic equipment (WEEE) plastics on the recyclability: A case study in Finland. Sci Total Environ 830:155627

    Article  CAS  Google Scholar 

  • Li J, Zhang S, Jiang Y (2022) End-of-life management of electric and electronic equipment: A literature review based on mapping knowledge domains. Circ Econ 1:100008

    Google Scholar 

  • Luo R, Zhou L, Song Y, Fan T (2022) Evaluating the impact of carbon tax policy on manufacturing and remanufacturing decisions in a closed-loop supply chain. Int J Prod Econ 245:108408

    Article  Google Scholar 

  • MahmoumGonbadi A, Genovese A, Sgalambro A (2021) Closed-loop supply chain design for the transition towards a circular economy: A systematic literature review of methods, applications and current gaps. J Clean Prod 323:129101

    Article  Google Scholar 

  • Malladi KJ, Sowlati T (2020) Impact of carbon pricing policies on the cost and emission of the biomass supply chain: Optimization models and a case study. Appl Energy 267:115069

    Article  Google Scholar 

  • Messmann L, Helbig C, Thorenz A, Tuma A (2019) Economic and environmental benefits of recovery networks for WEEE in Europe. J Clean Prod 222:655–668

    Article  Google Scholar 

  • Mirdar-Harijani A, Mansour S (2022) Municipal solid waste recycling network with sustainability and supply uncertainty considerations. Sustain Cities Soc 81:103857

    Article  Google Scholar 

  • Mohammed F, Selim SZ, Hassan A, Syed MN (2017) Multi-period planning of closed-loop supply chain with carbon policies under uncertainty. Transp Res Part D 51:146–172

    Article  Google Scholar 

  • Moslehi MS, Sahebi H, Teymouri A (2021) A multi-objective stochastic model for a reverse logistics supply chain design with environmental considerations. J Ambient Intell Humaniz Comput 12:8017–8040

    Article  Google Scholar 

  • Neufeld R, Massicotte PJ (2017) Decarbonizing transportation in Canada. Report of the standing senate committee on energy, the environment and natural resources, Senate Canada, Ottawa, Ontario, Canada

  • Ozceylan E, Demirel N, Cetinkaya C, Demirel E (2017) A closed-loop supply chain network design for automotive industry in Turkey. Comput Ind Eng 113:727–745

    Article  Google Scholar 

  • Palak G, Eksioglu SD, Geunes J (2014) Analyzing the impacts of carbon regulatory mechanisms on supplier and mode selection decisions: An application to a biofuel supply chain. Int J Prod Econ 154:198–216

    Article  Google Scholar 

  • Patil T, Rebaioli L, Fassi I (2022) Cyber-physical systems for end-of-life management of printed circuit boards and mechatronics products in home automation: A review. Sustain Mater Technol 32:e00432

    Google Scholar 

  • Polat LO, Gungor A (2021) WEEE closed-loop supply chain network management considering the damage levels of returned products. Environ Sci Pollut Res 28:7786–7804

    Article  Google Scholar 

  • Polat O, Capraz O, Gungor A (2018) Modelling of WEEE recycling operation planning under uncertainty. J Clean Prod 180:769–779

    Article  Google Scholar 

  • Rao NN, Sultana R, Kota SH (2017) Solid and Hazardous Waste Management. Butterworth-Heinemann, Oxford, United Kingdom

    Google Scholar 

  • Rocha TB, Penteado CSG (2021) Life cycle assessment of a small WEEE reverse logistics system: Case study in the Campinas Area, Brazil. J Clean Prod 314:128092

    Article  CAS  Google Scholar 

  • Samuel CN, Venkatadri U, Diallo C, Khatab A (2020) Robust closed-loop supply chain design with presorting, return quality and carbon emission considerations. J Clean Prod 247: 119086

  • Shokouhyar S, Aalirezaei A (2017) Designing sustainable recovery network for waste from electrical and electronic equipment (WEEE) using genetic algorithm. International Journal of Environment and Sustainable Development (IJESD) 16 (1): 60-79.

  • Shokouhyar S, Mansour S (2013) Simulation-based optimization of a sustainable recovery network for Waste from Electrical and Electronic Equipment (WEEE). Int J Comput Integr Manuf 26(6):487–503

    Article  Google Scholar 

  • Tsao YC, Amir ENR, Tanh V, Dachyar M (2021) Designing an eco-efficient supply chain network considering carbon trade and trade-credit: A robust fuzzy optimization approach. Comput Ind Eng 160:107595

    Article  Google Scholar 

  • UN (2014) Prototype global sustainable development report. United Nations Department of Economic and Social Affairs. Division for Sustainable Development, New York

  • Waltho C, Elhedhli S, Gzara F (2019) Green supply chain network design: A review focused on policy adoption and emission quantification. Int J Prod Econ 208:305–318

    Article  Google Scholar 

  • Wang M, Zhao L, Herty M (2018) Modelling carbon trading and refrigerated logistics services within a fresh food supply chain under carbon cap-and-trade regulation. Int J Prod Res 56:4207–4225

    Article  Google Scholar 

  • World Economic Forum (2016) Digital transformation of industries: In collaboration with Accenture. White paper, World Economic Forum, Geneva, Switzerland

  • Yu H, Solvang WD (2016) A stochastic programming approach with improved multi-criteria scenario-based solution method for sustainable reverse logistics design of waste electrical and electronic equipment (WEEE). Sustainability 8(12):1331

    Article  Google Scholar 

  • Zhou Y, Gong DC, Huang B, Peters BA (2017) The impacts of carbon tariff on green supply chain design. IEEE Trans Autom Sci Eng 14:1542–1555

    Article  Google Scholar 

Download references

Funding

The authors declare that no funds, grants, or other supports were received during the preparation of this manuscript.

Author information

Authors and Affiliations

Authors

Contributions

Dr. Mirdar Harijani: conceptualization, methodology development, writing, original draft preparation, and interpretation.

Dr. Mansour: conceptualization, methodology development, reviewing and editing, and supervision.

Miss Fatemi: Material preparation and reviewing the literature.

Corresponding author

Correspondence to Ali Mirdar Harijani.

Ethics declarations

Ethics approval

This material is the authors' own original work, which has not been previously published elsewhere. In addition, this study did not use any kind of human participants or human data, which require any kind of approval.

Consent to participate

All authors gave their consent to participate in writing of the manuscript.

Consent for publication

All authors gave their consent to publish the manuscript.

Conflict of interest

The authors declare no competing interests.

Competing interests

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Additional information

Responsible Editor: Philippe Garrigues

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Harijani, A.M., Mansour, S. & Fatemi, S. Closed-loop supply network of electrical and electronic equipment under carbon tax policy. Environ Sci Pollut Res 30, 78449–78468 (2023). https://doi.org/10.1007/s11356-023-27443-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11356-023-27443-x

Keywords

Navigation