IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i10p4044-d358297.html
   My bibliography  Save this article

A New Comprehensive Approach for Efficient Road Vehicle Procurement Using Hybrid DANP-TOPSIS Method

Author

Listed:
  • Marko Stokic

    (University of Belgrade, Faculty of Transport and Traffic Engineering, Vojvode Stepe 305, 11000 Belgrade, Serbia)

  • Davor Vujanovic

    (University of Belgrade, Faculty of Transport and Traffic Engineering, Vojvode Stepe 305, 11000 Belgrade, Serbia)

  • Dragan Sekulic

    (University of Belgrade, Faculty of Transport and Traffic Engineering, Vojvode Stepe 305, 11000 Belgrade, Serbia)

Abstract

The efficient vehicle procurement is an important business segment of different companies with their own vehicle fleet. It has a significant influence on reducing transport and maintenance costs and on increasing the fleet’s energy efficiency. It is indispensable that managers consider various criteria from several aspects when procuring a vehicle. In that sense, we defined 13 relevant criteria and divided them into four multidisciplinary aspects: Construction-technical, financial, operational, and environmental. Decision-Making Trial and Evaluation Laboratory-Based Analytic Network Process (DANP) method was applied to evaluate the significance of defined criteria and aspects and their interdependency. It is established that the three most important criteria for vehicle procurement are vehicle price, vehicle maintenance, and vehicle selling price. The most important aspect is construction technical aspect, while the aspect of the environment is the least important. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method was used to rank eight different vehicles, which were considered by vehicle fleet manager at the observed company. This model assists fleet managers in the selection of the most suitable vehicle for procurement, while significantly reducing decision-making time and simultaneously observing all necessary criteria and their weights. Moreover, we have considered 10 different scenarios to establish whether and how the rank of the observed alternatives would change.

Suggested Citation

  • Marko Stokic & Davor Vujanovic & Dragan Sekulic, 2020. "A New Comprehensive Approach for Efficient Road Vehicle Procurement Using Hybrid DANP-TOPSIS Method," Sustainability, MDPI, vol. 12(10), pages 1-16, May.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:10:p:4044-:d:358297
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/10/4044/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/12/10/4044/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mørch, Ove & Fagerholt, Kjetil & Pantuso, Giovanni & Rakke, Jørgen, 2017. "Maximizing the rate of return on the capital employed in shipping capacity renewal," Omega, Elsevier, vol. 67(C), pages 42-53.
    2. Ansaripoor, Amir H. & Oliveira, Fernando S. & Liret, Anne, 2014. "A risk management system for sustainable fleet replacement," European Journal of Operational Research, Elsevier, vol. 237(2), pages 701-712.
    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. Lirong Huang & Wenli Zhang & Hongbo Jiang & Jin-Long Wang, 2023. "The Teaching Quality Evaluation of Chinese-Foreign Cooperation in Running Schools from the Perspective of Education for Sustainable Development," Sustainability, MDPI, vol. 15(3), pages 1-22, January.
    2. Elzbieta Broniewicz & Karolina Ogrodnik, 2021. "A Comparative Evaluation of Multi-Criteria Analysis Methods for Sustainable Transport," Energies, MDPI, vol. 14(16), pages 1-23, August.
    3. Chin-Tsai Lin & Cheng-Yu Chiang, 2022. "Development of Strategies for Taiwan’s Corrugated Box Precision Printing Machine Industry—An Implementation for SWOT and EDAS Methods," Sustainability, MDPI, vol. 14(9), pages 1-18, April.

    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. Adkins, Roger & Paxson, Dean, 2017. "Replacement decisions with multiple stochastic values and depreciation," European Journal of Operational Research, Elsevier, vol. 257(1), pages 174-184.
    2. Marchioni, Andrea & Magni, Carlo Alberto, 2018. "Investment decisions and sensitivity analysis: NPV-consistency of rates of return," European Journal of Operational Research, Elsevier, vol. 268(1), pages 361-372.
    3. Ansaripoor, Amir H. & Oliveira, Fernando S., 2018. "Flexible lease contracts in the fleet replacement problem with alternative fuel vehicles: A real-options approach," European Journal of Operational Research, Elsevier, vol. 266(1), pages 316-327.
    4. Wang, Xin & Fagerholt, Kjetil & Wallace, Stein W., 2018. "Planning for charters: A stochastic maritime fleet composition and deployment problem," Omega, Elsevier, vol. 79(C), pages 54-66.
    5. Qinghe Sun & Li Chen & Mabel C. Chou & Qiang Meng, 2023. "Mitigating the financial risk behind emission cap compliance: A case in maritime transportation," Production and Operations Management, Production and Operations Management Society, vol. 32(1), pages 283-300, January.
    6. Yan, Shuai & Archibald, Thomas Welsh & Han, Xiaohua & Bian, Yiwen, 2022. "Whether to adopt “buy online and return to store” strategy in a competitive market?," European Journal of Operational Research, Elsevier, vol. 301(3), pages 974-986.
    7. Mitra, Sovan & Karathanasopoulos, Andreas & Sermpinis, Georgios & Dunis, Christian & Hood, John, 2015. "Operational risk: Emerging markets, sectors and measurement," European Journal of Operational Research, Elsevier, vol. 241(1), pages 122-132.
    8. Ksciuk, Jana & Kuhlemann, Stefan & Tierney, Kevin & Koberstein, Achim, 2023. "Uncertainty in maritime ship routing and scheduling: A Literature review," European Journal of Operational Research, Elsevier, vol. 308(2), pages 499-524.
    9. Skålnes, Jørgen & Fagerholt, Kjetil & Pantuso, Giovanni & Wang, Xin, 2020. "Risk control in maritime shipping investments," Omega, Elsevier, vol. 96(C).
    10. Gao, Yongling & Leng, Mingming & Zhang, Yaping & Liang, Liping, 2022. "Incentivizing the adoption of electric vehicles in city logistics: Pricing, driving range, and usage decisions under time window policies," International Journal of Production Economics, Elsevier, vol. 245(C).
    11. Stålhane, Magnus & Halvorsen-Weare, Elin E. & Nonås, Lars Magne & Pantuso, Giovanni, 2019. "Optimizing vessel fleet size and mix to support maintenance operations at offshore wind farms," European Journal of Operational Research, Elsevier, vol. 276(2), pages 495-509.

    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:jsusta:v:12:y:2020:i:10:p:4044-:d:358297. 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.