IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i24p8122-d1302261.html
   My bibliography  Save this article

Sustainable Vehicle Design Considering Quality Level and Life Cycle Environmental Assessment (LCA)

Author

Listed:
  • Robert Ulewicz

    (Department of Production Engineering and Safety, Faculty of Management, Czestochowa University of Technology, 42-201 Czestochowa, Poland)

  • Dominika Siwiec

    (Faculty of Mechanical Engineering and Aeronautics, Rzeszow University of Technology, 35-959 Rzeszow, Poland)

  • Andrzej Pacana

    (Faculty of Mechanical Engineering and Aeronautics, Rzeszow University of Technology, 35-959 Rzeszow, Poland)

Abstract

One of the global ecological problems is the excessive carbon dioxide emissions generated by vehicles in the transport sector, including passenger transport. Therefore, the objective of this investigation was to develop a model that supports the prediction of vehicle variants that will be satisfactory to the customer in terms of: (i) quality level and (ii) environmental impact throughout the life cycle. This model was developed with the following techniques: TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution), LCA (Life Cycle Assessment), SMARTER (Specific, Measurable, Achievable, Relevant, and Time-bound), Pareto–Lorenz, and the Multi-Criteria Decision Method rule (7 ± 2). A model test was carried out for production variants of the electric vehicle BEV (battery electric vehicle) for which the quality level and life cycle assessment were estimated. Vehicle quality levels ranged from 0.15 to 0.69, with a weight of 0.75. However, vehicle life cycle scores were estimated in the range of 0.25 to 0.57, with a weight of 0.25. Ultimately, the level of the vehicles’ LCA ranged from 0.18 to 0.62. As a result, it was shown that on the basis of various modifications of the quality level of vehicle variants and the corresponding environmental impacts throughout their life cycle, it is possible to predict the vehicle variant that is most satisfactory for the customer and, at the same time, environmentally friendly. The originality of the model relies on supporting the making of sustainable design decisions and the planning of vehicle improvement actions according to customer expectations. Therefore, the model can be used to analyse different types of vehicles by producers and dealers of these products.

Suggested Citation

  • Robert Ulewicz & Dominika Siwiec & Andrzej Pacana, 2023. "Sustainable Vehicle Design Considering Quality Level and Life Cycle Environmental Assessment (LCA)," Energies, MDPI, vol. 16(24), pages 1-23, December.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:24:p:8122-:d:1302261
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/24/8122/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/24/8122/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Saaty, Thomas L., 2003. "Decision-making with the AHP: Why is the principal eigenvector necessary," European Journal of Operational Research, Elsevier, vol. 145(1), pages 85-91, February.
    2. Grzegorz Ostasz & Dominika Siwiec & Andrzej Pacana, 2022. "Model to Determine the Best Modifications of Products with Consideration Customers’ Expectations," Energies, MDPI, vol. 15(21), pages 1-21, October.
    3. Dominika Siwiec & Andrzej Pacana, 2021. "Model Supporting Development Decisions by Considering Qualitative–Environmental Aspects," Sustainability, MDPI, vol. 13(16), pages 1-28, August.
    4. Grzegorz Ostasz & Dominika Siwiec & Andrzej Pacana, 2022. "Universal Model to Predict Expected Direction of Products Quality Improvement," Energies, MDPI, vol. 15(5), pages 1-18, February.
    5. Radosław Wolniak & Bożena Skotnicka-Zasadzień, 2023. "Development of Wind Energy in EU Countries as an Alternative Resource to Fossil Fuels in the Years 2016–2022," Resources, MDPI, vol. 12(8), pages 1-33, August.
    6. Qiao, Qinyu & Zhao, Fuquan & Liu, Zongwei & Jiang, Shuhua & Hao, Han, 2017. "Cradle-to-gate greenhouse gas emissions of battery electric and internal combustion engine vehicles in China," Applied Energy, Elsevier, vol. 204(C), pages 1399-1411.
    7. 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.
    8. Rickard Arvidsson & Anne‐Marie Tillman & Björn A. Sandén & Matty Janssen & Anders Nordelöf & Duncan Kushnir & Sverker Molander, 2018. "Environmental Assessment of Emerging Technologies: Recommendations for Prospective LCA," Journal of Industrial Ecology, Yale University, vol. 22(6), pages 1286-1294, December.
    9. Guwen Tang & Meng Zhang & Fei Bu, 2023. "Vehicle Environmental Efficiency Evaluation in Different Regions in China: A Combination of the Life Cycle Analysis (LCA) and Two-Stage Data Envelopment Analysis (DEA) Methods," Sustainability, MDPI, vol. 15(15), pages 1-24, August.
    10. Aleksandra Kuzior & Mariya Sira & Paulina Brozek, 2022. "Using Blockchain and Artificial Intelligence in Energy Management as a Tool to Achieve Energy Efficiency," Virtual Economics, The London Academy of Science and Business, vol. 5(3), pages 69-90, November.
    Full references (including those not matched with items on IDEAS)

    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. Andrzej Pacana & Dominika Siwiec & Jacek Pacana, 2023. "Fuzzy Method to Improve Products and Processes Considering the Approach of Sustainable Development (FQE-SD Method)," Sustainability, MDPI, vol. 15(13), pages 1-22, June.
    2. Andrzej Pacana & Dominika Siwiec & Robert Ulewicz & Malgorzata Ulewicz, 2024. "A Novelty Model Employing the Quality Life Cycle Assessment (QLCA) Indicator and Frameworks for Selecting Qualitative and Environmental Aspects for Sustainable Product Development," Sustainability, MDPI, vol. 16(17), pages 1-24, September.
    3. Robert Ulewicz & Dominika Siwiec & Andrzej Pacana, 2023. "A New Model of Pro-Quality Decision Making in Terms of Products’ Improvement Considering Customer Requirements," Energies, MDPI, vol. 16(11), pages 1-22, May.
    4. Remigiusz Gawlik & Dominika Siwiec & Andrzej Pacana, 2024. "Quality–Cost–Environment Assessment of Sustainable Manufacturing of Photovoltaic Panels," Energies, MDPI, vol. 17(7), pages 1-17, March.
    5. Mélanie Douziech & Romain Besseau & Raphaël Jolivet & Bianka Shoai‐Tehrani & Jean‐Yves Bourmaud & Guillaume Busato & Mathilde Gresset‐Bourgeois & Paula Pérez‐López, 2024. "Life cycle assessment of prospective trajectories: A parametric approach for tailor‐made inventories and its computational implementation," Journal of Industrial Ecology, Yale University, vol. 28(1), pages 25-40, February.
    6. 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.
    7. Tadeusz Olejarz & Dominika Siwiec & Andrzej Pacana, 2022. "Method of Qualitative–Environmental Choice of Devices Converting Green Energy," Energies, MDPI, vol. 15(23), pages 1-22, November.
    8. 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.
    9. Yaning Zhang & Ziqiang Cao & Chunmei Zhang & Yisong Chen, 2024. "Life Cycle Assessment of Plug-In Hybrid Electric Vehicles Considering Different Vehicle Working Conditions and Battery Degradation Scenarios," Energies, MDPI, vol. 17(17), pages 1-29, August.
    10. Qiao, Qinyu & Zhao, Fuquan & Liu, Zongwei & He, Xin & Hao, Han, 2019. "Life cycle greenhouse gas emissions of Electric Vehicles in China: Combining the vehicle cycle and fuel cycle," Energy, Elsevier, vol. 177(C), pages 222-233.
    11. Michael Samsu Koroma & Nils Brown & Giuseppe Cardellini & Maarten Messagie, 2020. "Prospective Environmental Impacts of Passenger Cars under Different Energy and Steel Production Scenarios," Energies, MDPI, vol. 13(23), pages 1-17, November.
    12. Wu, Ziyang & Wang, Can & Wolfram, Paul & Zhang, Yaxin & Sun, Xin & Hertwich, Edgar, 2019. "Assessing electric vehicle policy with region-specific carbon footprints," Applied Energy, Elsevier, vol. 256(C).
    13. Khan, Muhammad Imran & Shahrestani, Mehdi & Hayat, Tasawar & Shakoor, Abdul & Vahdati, Maria, 2019. "Life cycle (well-to-wheel) energy and environmental assessment of natural gas as transportation fuel in Pakistan," Applied Energy, Elsevier, vol. 242(C), pages 1738-1752.
    14. Jani Das, 2022. "Comparative life cycle GHG emission analysis of conventional and electric vehicles in India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(11), pages 13294-13333, November.
    15. Yang Yang & Libo Lan & Zhuo Hao & Jianyou Zhao & Geng Luo & Pei Fu & Yisong Chen, 2022. "Life Cycle Prediction Assessment of Battery Electrical Vehicles with Special Focus on Different Lithium-Ion Power Batteries in China," Energies, MDPI, vol. 15(15), pages 1-23, July.
    16. Xu Hu & Jinwei Sun & Yisong Chen & Qiu Liu & Liang Gu, 2019. "Considering Well-to-Wheels Analysis in Control Design: Regenerative Suspension Helps to Reduce Greenhouse Gas Emissions from Battery Electric Vehicles," Energies, MDPI, vol. 12(13), pages 1-19, July.
    17. Kang, Jidong & Ng, Tsan Sheng & Su, Bin & Milovanoff, Alexandre, 2021. "Electrifying light-duty passenger transport for CO2 emissions reduction: A stochastic-robust input–output linear programming model," Energy Economics, Elsevier, vol. 104(C).
    18. Dominika Siwiec & Wiesław Frącz & Andrzej Pacana & Grzegorz Janowski & Łukasz Bąk, 2024. "Analysis of the Ecological Footprint from the Extraction and Processing of Materials in the LCA Phase of Lithium-Ion Batteries," Sustainability, MDPI, vol. 16(12), pages 1-19, June.
    19. Rachana Vidhi & Prasanna Shrivastava & Abhishek Parikh, 2021. "Social and Technological Impact of Businesses Surrounding Electric Vehicles," Clean Technol., MDPI, vol. 3(1), pages 1-17, February.
    20. Fang, Lei, 2022. "Measuring and decomposing group performance under centralized management," European Journal of Operational Research, Elsevier, vol. 297(3), pages 1006-1013.

    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:gam:jeners:v:16:y:2023:i:24:p:8122-:d:1302261. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.