IDEAS home Printed from https://ideas.repec.org/a/eee/recore/v102y2015icp163-169.html
   My bibliography  Save this article

Sustainability assessment of dismantling strategies for end-of-life aircraft recycling

Author

Listed:
  • Sabaghi, Mahdi
  • Cai, Yongliang
  • Mascle, Christian
  • Baptiste, Pierre

Abstract

With the current increase of environmental concerns, conventional methods practiced at end-of-life would not be capable to sustain the growing amount of retired aircrafts waiting for final disposal in the scrap yards each year. Material recycling is known as an important environmentally friendly activity. The quality of recycled material in a recycling process is actively influenced by an appropriate disassembly/dismantling strategy. In recycling the carcass of the aircraft, it is suitable to separate and classify different aluminum grades into their main alloys family before sending them to recycling center (i.e. 2xxx and 7xxx). However, due to complexity in the aircraft structure, fully disassembly/dismantling or fully shredding the aircraft is not economically or environmentally viable, respectively. For this reason, this work discusses eight different disassembly/dismantling strategies that have been done on a real Bombardier Regional Jet aircraft. The study narrows the gap in sustainability evaluation of these strategies by using an efficient fuzzy assessment method. Ten different risk scenarios were considered to have a robust understanding about the sustainability performance of each strategy. The methodology used in this work allowed to select the best strategy in terms of sustainable disassembly/dismantling.

Suggested Citation

  • Sabaghi, Mahdi & Cai, Yongliang & Mascle, Christian & Baptiste, Pierre, 2015. "Sustainability assessment of dismantling strategies for end-of-life aircraft recycling," Resources, Conservation & Recycling, Elsevier, vol. 102(C), pages 163-169.
  • Handle: RePEc:eee:recore:v:102:y:2015:i:c:p:163-169
    DOI: 10.1016/j.resconrec.2015.08.005
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0921344915300653
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.resconrec.2015.08.005?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. R. E. Bellman & L. A. Zadeh, 1970. "Decision-Making in a Fuzzy Environment," Management Science, INFORMS, vol. 17(4), pages 141-164, December.
    2. Kaya, İhsan, 2012. "Evaluation of outsourcing alternatives under fuzzy environment for waste management," Resources, Conservation & Recycling, Elsevier, vol. 60(C), pages 107-118.
    3. Asmatulu, Eylem & Twomey, Janet & Overcash, Michael, 2013. "Evaluation of recycling efforts of aircraft companies in Wichita," Resources, Conservation & Recycling, Elsevier, vol. 80(C), pages 36-45.
    4. Li, Zhong & Huang, Gordon & Zhang, Yimei & Li, Yongping, 2013. "Inexact two-stage stochastic credibility constrained programming for water quality management," Resources, Conservation & Recycling, Elsevier, vol. 73(C), pages 122-132.
    5. Shen, Lixin & Olfat, Laya & Govindan, Kannan & Khodaverdi, Roohollah & Diabat, Ali, 2013. "A fuzzy multi criteria approach for evaluating green supplier's performance in green supply chain with linguistic preferences," Resources, Conservation & Recycling, Elsevier, vol. 74(C), pages 170-179.
    6. Dursun, Mehtap & Karsak, E. Ertugrul & Karadayi, Melis Almula, 2011. "Assessment of health-care waste treatment alternatives using fuzzy multi-criteria decision making approaches," Resources, Conservation & Recycling, Elsevier, vol. 57(C), pages 98-107.
    7. Liu, J. & Li, Y.P. & Huang, G.H. & Zeng, X.T., 2014. "A dual-interval fixed-mix stochastic programming method for water resources management under uncertainty," Resources, Conservation & Recycling, Elsevier, vol. 88(C), pages 50-66.
    8. Gaustad, Gabrielle & Olivetti, Elsa & Kirchain, Randolph, 2012. "Improving aluminum recycling: A survey of sorting and impurity removal technologies," Resources, Conservation & Recycling, Elsevier, vol. 58(C), pages 79-87.
    9. Simic, Vladimir, 2015. "A two-stage interval-stochastic programming model for planning end-of-life vehicles allocation under uncertainty," Resources, Conservation & Recycling, Elsevier, vol. 98(C), pages 19-29.
    10. Kim, Yeonjoo & Chung, Eun-Sung & Jun, Sang-Mook & Kim, Sang Ug, 2013. "Prioritizing the best sites for treated wastewater instream use in an urban watershed using fuzzy TOPSIS," Resources, Conservation & Recycling, Elsevier, vol. 73(C), pages 23-32.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Guihong Zhao & Xintong Zhai & Yuzi Jing, 2023. "Retired Aircraft Recovery: Based on Stackelberg Game Method from the Perspective of Closed-Loop Supply Chain," Sustainability, MDPI, vol. 15(2), pages 1-21, January.
    2. Rodrigues Dias, Veruska Mazza & Jugend, Daniel & de Camargo Fiorini, Paula & Razzino, Carlos do Amaral & Paula Pinheiro, Marco Antonio, 2022. "Possibilities for applying the circular economy in the aerospace industry: Practices, opportunities and challenges," Journal of Air Transport Management, Elsevier, vol. 102(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tu, Yan & Zhou, Xiaoyang & Gang, Jun & Liechty, Merrill & Xu, Jiuping & Lev, Benjamin, 2015. "Administrative and market-based allocation mechanism for regional water resources planning," Resources, Conservation & Recycling, Elsevier, vol. 95(C), pages 156-173.
    2. Gdoura, Khadija & Anane, Makram & Jellali, Salah, 2015. "Geospatial and AHP-multicriteria analyses to locate and rank suitable sites for groundwater recharge with reclaimed water," Resources, Conservation & Recycling, Elsevier, vol. 104(PA), pages 19-30.
    3. Vuciterna, Rina & Thomsen, Michael & Popp, Jennie & Musliu, Arben, 2017. "Efficiency and Competitiveness of Kosovo Raspberry Producers," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252770, Southern Agricultural Economics Association.
    4. Berna Tektas Sivrikaya & Ferhan Cebi & Hasan Hüseyin Turan & Nihat Kasap & Dursun Delen, 2017. "A fuzzy long-term investment planning model for a GenCo in a hybrid electricity market considering climate change impacts," Information Systems Frontiers, Springer, vol. 19(5), pages 975-991, October.
    5. Collan, Mikael, 2008. "New Method for Real Option Valuation Using Fuzzy Numbers," Working Papers 466, IAMSR, Åbo Akademi.
    6. Hatayama, Hiroki & Daigo, Ichiro & Matsuno, Yasunari & Adachi, Yoshihiro, 2012. "Evolution of aluminum recycling initiated by the introduction of next-generation vehicles and scrap sorting technology," Resources, Conservation & Recycling, Elsevier, vol. 66(C), pages 8-14.
    7. Kim, Jong Soon & Whang, Kyu-Seung, 1998. "A tolerance approach to the fuzzy goal programming problems with unbalanced triangular membership function," European Journal of Operational Research, Elsevier, vol. 107(3), pages 614-624, June.
    8. Berna Tektaş & Hasan Hüseyin Turan & Nihat Kasap & Ferhan Çebi & Dursun Delen, 2022. "A Fuzzy Prescriptive Analytics Approach to Power Generation Capacity Planning," Energies, MDPI, vol. 15(9), pages 1-26, April.
    9. Chen, Lisa Y. & Wang, Tien-Chin, 2009. "Optimizing partners' choice in IS/IT outsourcing projects: The strategic decision of fuzzy VIKOR," International Journal of Production Economics, Elsevier, vol. 120(1), pages 233-242, July.
    10. Víctor G. Alfaro-García & Anna M. Gil-Lafuente & Gerardo G. Alfaro Calderón, 2017. "A fuzzy approach to a municipality grouping model towards creation of synergies," Computational and Mathematical Organization Theory, Springer, vol. 23(3), pages 391-408, September.
    11. Aghayi, Nazila & Maleki, Bentolhoda, 2016. "Efficiency measurement of DMUs with undesirable outputs under uncertainty based on the directional distance function: Application on bank industry," Energy, Elsevier, vol. 112(C), pages 376-387.
    12. Wenyao Niu & Yuan Rong & Liying Yu & Lu Huang, 2022. "A Novel Hybrid Group Decision Making Approach Based on EDAS and Regret Theory under a Fermatean Cubic Fuzzy Environment," Mathematics, MDPI, vol. 10(17), pages 1-30, August.
    13. de Andres-Sanchez, Jorge, 2007. "Claim reserving with fuzzy regression and Taylor's geometric separation method," Insurance: Mathematics and Economics, Elsevier, vol. 40(1), pages 145-163, January.
    14. Mikhailov, L., 2004. "A fuzzy approach to deriving priorities from interval pairwise comparison judgements," European Journal of Operational Research, Elsevier, vol. 159(3), pages 687-704, December.
    15. Gu, Qianxin & Chen, Yang & Pody, Robert & Cheng, Rong & Zheng, Xiang & Zhang, Zhenxing, 2015. "Public perception and acceptability toward reclaimed water in Tianjin," Resources, Conservation & Recycling, Elsevier, vol. 104(PA), pages 291-299.
    16. Hongyi Sun & Bingqian Zhang & Wenbin Ni, 2022. "A Hybrid Model Based on SEM and Fuzzy TOPSIS for Supplier Selection," Mathematics, MDPI, vol. 10(19), pages 1-19, September.
    17. Liu, Yong-Jun & Zhang, Wei-Guo, 2015. "A multi-period fuzzy portfolio optimization model with minimum transaction lots," European Journal of Operational Research, Elsevier, vol. 242(3), pages 933-941.
    18. Sakawa, Masatoshi & Kato, Kosuke, 1998. "An interactive fuzzy satisficing method for structured multiobjective linear fractional programs with fuzzy numbers," European Journal of Operational Research, Elsevier, vol. 107(3), pages 575-589, June.
    19. Sajid Ali & Sang-Moon Lee & Choon-Man Jang, 2017. "Determination of the Most Optimal On-Shore Wind Farm Site Location Using a GIS-MCDM Methodology: Evaluating the Case of South Korea," Energies, MDPI, vol. 10(12), pages 1-22, December.
    20. David Opresnik & Maurizio Fiasché & Marco Taisch & Manuel Hirsch, 0. "An evolving fuzzy inference system for extraction of rule set for planning a product–service strategy," Information Technology and Management, Springer, vol. 0, pages 1-17.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:recore:v:102:y:2015:i:c:p:163-169. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Kai Meng (email available below). General contact details of provider: https://www.journals.elsevier.com/resources-conservation-and-recycling .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.