Research Article
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Lifetime Extension Approach for decreasing e-wastes

Year 2022, , 1230 - 1238, 31.12.2022
https://doi.org/10.56554/jtom.1060746

Abstract

Electrical and electronic products (e-products) enabling human being benefit from higher standards of living has become an indispensable part of daily life. Since the e-products obsolete very quickly because of accelerating technological changes and consumption rates, e-waste is believed to be one of the most critical waste issue of coming future. E-waste is any electrical and electronic products that are unwanted, not working, and nearing or at the end of their useful life. The increasing levels of e-waste depending on usage of short lifespan e-products are significant threat to the environment and to human health. Lifetime extension is considered as one of the approaches to decrease or control e-wastes. A computer as an e-product is a system consisting of components, some or all of which may deteriorate over time at different rates mainly due to commercial and technological reasons. In this study, lifetime extension approach has been recommended for computers in which significant components are upgraded to attain threshold performance value.

References

  • 1. Antonopoulos C. and Sakellaris P. (2011). Estimating computer depreciation using online auction data, Economics of Innovation and New Technology, vol.20, No.2, 183-204.
  • 2. Bakker J. D., van der Graaf H. J. And van Noortwijk J. M. (1998). “Model of Lifetime- Extending Maintenance”, Proceedings of the 8th International Conference on Structural Faults and Repair, London, United Kingdom, 13-15 July 1999. Edinburgh: Engineering Technics Press
  • 3. Cole C., Cooper T. and Gnanapragasam A. (2016). "Extending product lifetimes through WEEE reuse and repair: Opportunities and challenges in the UK," 2016 Electronics Goes Green 2016+ (EGG), Berlin, 2016, pp. 1-9
  • 4. DIR- Department of Information Resources (2013). PC Life Cycles- Guidelines for Establishing Life Cycles for Personal Computers, Austin, Texas
  • 5. EEB- European Environmental Bureau (2021). Coolproducts Don’t Cost The Earth, https://eeb.org/library/coolproducts-briefing/, 04.02.2021
  • 6. Fang Y.T. and Rau H. (2017). “Optimal Consumer Electronics Product Take-Back Time with Consideration of Consumer Value”, Sustainability, 9, 385
  • 7. Ferrer G. (1997). The economics of personal computer remanufacturing, Resources, Conservation and Recycling, vol.21, 79-108.
  • 8. Forti V., Balde C.P., Kuehr R. and Bel G. (2020). The Global E-waste Monitor 2020: Quantities, flows and the circular economy potential. United Nations University (UNU)/United Nations Institute for Training and Research (UNITAR) – co-hosted SCYCLE Programme, International Telecommunication Union (ITU) & International Solid Waste Association (ISWA), Bonn/Geneva/Rotterdam
  • 9. Griese H., Poetter H., Schischke K., Ness O. and Reichl H. (2004). “Reuse and lifetime extension strategies in the context of technology innovations, global markets, and environmental legislation”, IEEE International Symposium on Electronics and the Environment
  • 10. Huynh K.T., Barros A., Bérenguer C. and Castro I.T. (2011). “A periodic inspection and replacement policy for systems subject to competing failure modes due to degradation and traumatic events”, Reliability Engineering & System Safety, Volume 96, Issue 4, Pages 497-508
  • 11. Yu I. and Fuh C. (2010). Estimation of Time to Hard Failure Distributions Using a Three-Stage Method, IEEE Transactions on Reliability, vol.59, No.2, 405-412
  • 12. Sugier J. and Anders G. J. (2010). Modelling Equipment Deterioration vs. Maintenance Policy in Dependability Analysis, Computational Intelligence and Modern Heuristics, Al-Dahoud Ali (Ed.), ISBN: 978-953-7619-28-2
  • 13. Kang R., Gong W. and Chen Y. (2020). “Model-driven degradation modeling approaches: Investigation and review”, Chinese Journal of Aeronautics, 33(4): 1137–1153
  • 14. Khurrum M., Bhutta S., Omar A. and Yang X. (2011). Electronic Waste: A Growing Concern in Today’s Environment, Hindawi Publishing Corporation, Economics Research International, Volume 2011, Article ID 474230, 8 pages
  • 15. Lemer A. C. (2012). Estimating Life Expectancies of Highway Assets, Volume 1: Guidebook, National Academies of Sciences, Engineering, and Medicine, The National Academies Press, Washington, DC https://doi.org/10.17226/22782.
  • 16. Letot C. and Dehombreux P. (2009). A toolbox to assess reliability and degradation models, ETE’ 2009 Second EUREKA International Symposium on Environmental Testing Engineering, Belgium.
  • 17. Parajuly K., Kuehr R., Awasthi A. K., Fitzpatrick C., Lepawsky J., Smith E., Widmer R., Zeng X. (2019). Future E-waste Scenarios, StEP (Bonn), UNU ViE-SCYCLE (Bonn) & UNEP IETC (Osaka)
  • 18. Rachaniotis N.P. and Pappis C.P. (2008). Preventive Maintenance and upgrade system: optimizing the whole performance system by components’ replacement or rearrangement, International Journal of Production Economics, vol.112, 236-244.
  • 19. Reliawiki (2021). Degradation Data Analysis, http://reliawiki.org/index.php/Degradation_Data_Analysis, 04.02.2021
  • 20. Van Dongen P. (2011). Value& Innovation Through Asset Life-time Extension, Erasmus University, Economics and Informatics
  • 21. Welte T. (2008). “Deterioration and Maintenance Models for components in hydropower plant”s, Ph.D. thesis, Norwegian University of Science and Technology , Faculty of Engineering Science and Technology, Department of Production and Quality Engineering
  • 22. Wikipedia (2021). Computer Performance, https://en.wikipedia.org/wiki/Computer_performance, 08.02.2021
Year 2022, , 1230 - 1238, 31.12.2022
https://doi.org/10.56554/jtom.1060746

Abstract

References

  • 1. Antonopoulos C. and Sakellaris P. (2011). Estimating computer depreciation using online auction data, Economics of Innovation and New Technology, vol.20, No.2, 183-204.
  • 2. Bakker J. D., van der Graaf H. J. And van Noortwijk J. M. (1998). “Model of Lifetime- Extending Maintenance”, Proceedings of the 8th International Conference on Structural Faults and Repair, London, United Kingdom, 13-15 July 1999. Edinburgh: Engineering Technics Press
  • 3. Cole C., Cooper T. and Gnanapragasam A. (2016). "Extending product lifetimes through WEEE reuse and repair: Opportunities and challenges in the UK," 2016 Electronics Goes Green 2016+ (EGG), Berlin, 2016, pp. 1-9
  • 4. DIR- Department of Information Resources (2013). PC Life Cycles- Guidelines for Establishing Life Cycles for Personal Computers, Austin, Texas
  • 5. EEB- European Environmental Bureau (2021). Coolproducts Don’t Cost The Earth, https://eeb.org/library/coolproducts-briefing/, 04.02.2021
  • 6. Fang Y.T. and Rau H. (2017). “Optimal Consumer Electronics Product Take-Back Time with Consideration of Consumer Value”, Sustainability, 9, 385
  • 7. Ferrer G. (1997). The economics of personal computer remanufacturing, Resources, Conservation and Recycling, vol.21, 79-108.
  • 8. Forti V., Balde C.P., Kuehr R. and Bel G. (2020). The Global E-waste Monitor 2020: Quantities, flows and the circular economy potential. United Nations University (UNU)/United Nations Institute for Training and Research (UNITAR) – co-hosted SCYCLE Programme, International Telecommunication Union (ITU) & International Solid Waste Association (ISWA), Bonn/Geneva/Rotterdam
  • 9. Griese H., Poetter H., Schischke K., Ness O. and Reichl H. (2004). “Reuse and lifetime extension strategies in the context of technology innovations, global markets, and environmental legislation”, IEEE International Symposium on Electronics and the Environment
  • 10. Huynh K.T., Barros A., Bérenguer C. and Castro I.T. (2011). “A periodic inspection and replacement policy for systems subject to competing failure modes due to degradation and traumatic events”, Reliability Engineering & System Safety, Volume 96, Issue 4, Pages 497-508
  • 11. Yu I. and Fuh C. (2010). Estimation of Time to Hard Failure Distributions Using a Three-Stage Method, IEEE Transactions on Reliability, vol.59, No.2, 405-412
  • 12. Sugier J. and Anders G. J. (2010). Modelling Equipment Deterioration vs. Maintenance Policy in Dependability Analysis, Computational Intelligence and Modern Heuristics, Al-Dahoud Ali (Ed.), ISBN: 978-953-7619-28-2
  • 13. Kang R., Gong W. and Chen Y. (2020). “Model-driven degradation modeling approaches: Investigation and review”, Chinese Journal of Aeronautics, 33(4): 1137–1153
  • 14. Khurrum M., Bhutta S., Omar A. and Yang X. (2011). Electronic Waste: A Growing Concern in Today’s Environment, Hindawi Publishing Corporation, Economics Research International, Volume 2011, Article ID 474230, 8 pages
  • 15. Lemer A. C. (2012). Estimating Life Expectancies of Highway Assets, Volume 1: Guidebook, National Academies of Sciences, Engineering, and Medicine, The National Academies Press, Washington, DC https://doi.org/10.17226/22782.
  • 16. Letot C. and Dehombreux P. (2009). A toolbox to assess reliability and degradation models, ETE’ 2009 Second EUREKA International Symposium on Environmental Testing Engineering, Belgium.
  • 17. Parajuly K., Kuehr R., Awasthi A. K., Fitzpatrick C., Lepawsky J., Smith E., Widmer R., Zeng X. (2019). Future E-waste Scenarios, StEP (Bonn), UNU ViE-SCYCLE (Bonn) & UNEP IETC (Osaka)
  • 18. Rachaniotis N.P. and Pappis C.P. (2008). Preventive Maintenance and upgrade system: optimizing the whole performance system by components’ replacement or rearrangement, International Journal of Production Economics, vol.112, 236-244.
  • 19. Reliawiki (2021). Degradation Data Analysis, http://reliawiki.org/index.php/Degradation_Data_Analysis, 04.02.2021
  • 20. Van Dongen P. (2011). Value& Innovation Through Asset Life-time Extension, Erasmus University, Economics and Informatics
  • 21. Welte T. (2008). “Deterioration and Maintenance Models for components in hydropower plant”s, Ph.D. thesis, Norwegian University of Science and Technology , Faculty of Engineering Science and Technology, Department of Production and Quality Engineering
  • 22. Wikipedia (2021). Computer Performance, https://en.wikipedia.org/wiki/Computer_performance, 08.02.2021
There are 22 citations in total.

Details

Primary Language English
Subjects Industrial Engineering
Journal Section Research Article
Authors

Sermin Elevli 0000-0002-7712-5536

Publication Date December 31, 2022
Submission Date January 21, 2022
Acceptance Date June 15, 2022
Published in Issue Year 2022

Cite

APA Elevli, S. (2022). Lifetime Extension Approach for decreasing e-wastes. Journal of Turkish Operations Management, 6(2), 1230-1238. https://doi.org/10.56554/jtom.1060746
AMA Elevli S. Lifetime Extension Approach for decreasing e-wastes. JTOM. December 2022;6(2):1230-1238. doi:10.56554/jtom.1060746
Chicago Elevli, Sermin. “Lifetime Extension Approach for Decreasing E-Wastes”. Journal of Turkish Operations Management 6, no. 2 (December 2022): 1230-38. https://doi.org/10.56554/jtom.1060746.
EndNote Elevli S (December 1, 2022) Lifetime Extension Approach for decreasing e-wastes. Journal of Turkish Operations Management 6 2 1230–1238.
IEEE S. Elevli, “Lifetime Extension Approach for decreasing e-wastes”, JTOM, vol. 6, no. 2, pp. 1230–1238, 2022, doi: 10.56554/jtom.1060746.
ISNAD Elevli, Sermin. “Lifetime Extension Approach for Decreasing E-Wastes”. Journal of Turkish Operations Management 6/2 (December 2022), 1230-1238. https://doi.org/10.56554/jtom.1060746.
JAMA Elevli S. Lifetime Extension Approach for decreasing e-wastes. JTOM. 2022;6:1230–1238.
MLA Elevli, Sermin. “Lifetime Extension Approach for Decreasing E-Wastes”. Journal of Turkish Operations Management, vol. 6, no. 2, 2022, pp. 1230-8, doi:10.56554/jtom.1060746.
Vancouver Elevli S. Lifetime Extension Approach for decreasing e-wastes. JTOM. 2022;6(2):1230-8.

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