IDEAS home Printed from https://ideas.repec.org/a/wut/journl/v1y2018p5-26id1327.html
   My bibliography  Save this article

Multi-Criteria Decision Analysis (MCDA) methods in Life-Cycle Assessment (LCA): A comparison of private passenger vehicles

Author

Listed:
  • Andrzej Macioł
  • Bogdan Rębiasz

Abstract

Analogies between the life cycle assessment (LCA) and multicriteria decision analysis (MCDA) methodologies have been discussed as well as LCA as an MCDA problem for resolving the trade-offs between multiple environmental objectives. The objective of this study is to compare a variety of specialised multicriteria methods and knowledge-based methods used to aggregate the results from LCA. The studies were conducted using examples of LCA on private passenger vehicles. The research used two classical methods for multicriteria decision making (AHP and TOPSIS), the method of conventional (crisp) reasoning and Mamdani’s method of fuzzy inference. The results demonstrate that among the methods analysed, only crisp reasoning does not provide satisfactory results.

Suggested Citation

  • Andrzej Macioł & Bogdan Rębiasz, 2018. "Multi-Criteria Decision Analysis (MCDA) methods in Life-Cycle Assessment (LCA): A comparison of private passenger vehicles," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 28(1), pages 5-26.
    • Handle: RePEc:wut:journl:v:1:y:2018:p:5-26:id:1327
    DOI: 10.5277/ord180101
    as

    Download full text from publisher

    File URL: https://ord.pwr.edu.pl/assets/papers_archive/1327%20-%20published.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.5277/ord180101?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
    ---><---

    References listed on IDEAS

    as
    1. Perimenis, Anastasios & Walimwipi, Hartley & Zinoviev, Sergey & Müller-Langer, Franziska & Miertus, Stanislav, 2011. "Development of a decision support tool for the assessment of biofuels," Energy Policy, Elsevier, vol. 39(3), pages 1782-1793, March.
    2. Safaei Mohamadabadi, H. & Tichkowsky, G. & Kumar, A., 2009. "Development of a multi-criteria assessment model for ranking of renewable and non-renewable transportation fuel vehicles," Energy, Elsevier, vol. 34(1), pages 112-125.
    3. Dias, Luis C. & Domingues, Ana Rita, 2014. "On multi-criteria sustainability assessment: Spider-gram surface and dependence biases," Applied Energy, Elsevier, vol. 113(C), pages 159-163.
    4. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    5. Maarten Messagie & Faycal-Siddikou Boureima & Thierry Coosemans & Cathy Macharis & Joeri Van Mierlo, 2014. "A Range-Based Vehicle Life Cycle Assessment Incorporating Variability in the Environmental Assessment of Different Vehicle Technologies and Fuels," Energies, MDPI, vol. 7(3), pages 1-16, March.
    6. Bauer, Christian & Hofer, Johannes & Althaus, Hans-Jörg & Del Duce, Andrea & Simons, Andrew, 2015. "The environmental performance of current and future passenger vehicles: Life cycle assessment based on a novel scenario analysis framework," Applied Energy, Elsevier, vol. 157(C), pages 871-883.
    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. Martin Kügemann & Heracles Polatidis, 2019. "Multi-Criteria Decision Analysis of Road Transportation Fuels and Vehicles: A Systematic Review and Classification of the Literature," Energies, MDPI, vol. 13(1), pages 1-21, December.

    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. Luis C. Dias & Carolina Passeira & João Malça & Fausto Freire, 2022. "Integrating life-cycle assessment and multi-criteria decision analysis to compare alternative biodiesel chains," Annals of Operations Research, Springer, vol. 312(2), pages 1359-1374, May.
    2. Al-Alawi, Baha M. & Coker, Alexander D., 2018. "Multi-criteria decision support system with negotiation process for vehicle technology selection," Energy, Elsevier, vol. 157(C), pages 278-296.
    3. AlSabbagh, Maha & Siu, Yim Ling & Guehnemann, Astrid & Barrett, John, 2017. "Integrated approach to the assessment of CO2e-mitigation measures for the road passenger transport sector in Bahrain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 203-215.
    4. Cox, Brian & Bauer, Christian & Mendoza Beltran, Angelica & van Vuuren, Detlef P. & Mutel, Christopher L., 2020. "Life cycle environmental and cost comparison of current and future passenger cars under different energy scenarios," Applied Energy, Elsevier, vol. 269(C).
    5. Shen, Yung-Chi & Chou, Chiyang James & Lin, Grace T.R., 2011. "The portfolio of renewable energy sources for achieving the three E policy goals," Energy, Elsevier, vol. 36(5), pages 2589-2598.
    6. Felipe Cerdas & Paul Titscher & Nicolas Bognar & Richard Schmuch & Martin Winter & Arno Kwade & Christoph Herrmann, 2018. "Exploring the Effect of Increased Energy Density on the Environmental Impacts of Traction Batteries: A Comparison of Energy Optimized Lithium-Ion and Lithium-Sulfur Batteries for Mobility Applications," Energies, MDPI, vol. 11(1), pages 1-20, January.
    7. Siqin Xiong & Junping Ji & Xiaoming Ma, 2019. "Comparative Life Cycle Energy and GHG Emission Analysis for BEVs and PhEVs: A Case Study in China," Energies, MDPI, vol. 12(5), pages 1-17, March.
    8. Eckard Helmers & Johannes Dietz & Martin Weiss, 2020. "Sensitivity Analysis in the Life-Cycle Assessment of Electric vs. Combustion Engine Cars under Approximate Real-World Conditions," Sustainability, MDPI, vol. 12(3), pages 1-31, February.
    9. Shafique, Muhammad & Azam, Anam & Rafiq, Muhammad & Luo, Xiaowei, 2022. "Life cycle assessment of electric vehicles and internal combustion engine vehicles: A case study of Hong Kong," Research in Transportation Economics, Elsevier, vol. 91(C).
    10. Kevin Joseph Dillman & Áróra Árnadóttir & Jukka Heinonen & Michał Czepkiewicz & Brynhildur Davíðsdóttir, 2020. "Review and Meta-Analysis of EVs: Embodied Emissions and Environmental Breakeven," Sustainability, MDPI, vol. 12(22), pages 1-28, November.
    11. Sakthivel, G. & Sivaraja, C.M. & Ikua, Bernard W., 2019. "Prediction OF CI engine performance, emission and combustion parameters using fish oil as a biodiesel by fuzzy-GA," Energy, Elsevier, vol. 166(C), pages 287-306.
    12. Martin Kügemann & Heracles Polatidis, 2019. "Multi-Criteria Decision Analysis of Road Transportation Fuels and Vehicles: A Systematic Review and Classification of the Literature," Energies, MDPI, vol. 13(1), pages 1-21, December.
    13. Neofytou, H. & Nikas, A. & Doukas, H., 2020. "Sustainable energy transition readiness: A multicriteria assessment index," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    14. Sivaraja, C.M. & Sakthivel, G., 2017. "Compression ignition engine performance modelling using hybrid MCDM techniques for the selection of optimum fish oil biodiesel blend at different injection timings," Energy, Elsevier, vol. 139(C), pages 118-141.
    15. Ziolkowska, Jadwiga R., 2014. "Optimizing biofuels production in an uncertain decision environment: Conventional vs. advanced technologies," Applied Energy, Elsevier, vol. 114(C), pages 366-376.
    16. Małgorzata Mrozik & Agnieszka Merkisz-Guranowska, 2020. "Environmental Assessment of the Vehicle Operation Process," Energies, MDPI, vol. 14(1), pages 1-15, December.
    17. Anne Magdalene Syré & Florian Heining & Dietmar Göhlich, 2020. "Method for a Multi-Vehicle, Simulation-Based Life Cycle Assessment and Application to Berlin’s Motorized Individual Transport," Sustainability, MDPI, vol. 12(18), pages 1-26, September.
    18. Busola D. Akintayo & Oluwafemi E. Ige & Olubayo M. Babatunde & Oludolapo A. Olanrewaju, 2023. "Evaluation and Prioritization of Power-Generating Systems Using a Life Cycle Assessment and a Multicriteria Decision-Making Approach," Energies, MDPI, vol. 16(18), pages 1-18, September.
    19. Banai, Reza, 2010. "Evaluation of land use-transportation systems with the Analytic Network Process," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 3(1), pages 85-112.
    20. Fatih Yiğit & Şakir Esnaf, 2021. "A new Fuzzy C-Means and AHP-based three-phased approach for multiple criteria ABC inventory classification," Journal of Intelligent Manufacturing, Springer, vol. 32(6), pages 1517-1528, August.

    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:wut:journl:v:1:y:2018:p:5-26:id:1327. 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: Adam Kasperski (email available below). General contact details of provider: https://edirc.repec.org/data/iopwrpl.html .

    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.