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A Novel Hybrid MCDM Model for the Evaluation of Sustainable Last Mile Solutions

Author

Listed:
  • Mladen Krstić
  • Snežana Tadić
  • Milovan Kovač
  • Violeta Roso
  • Slobodan Zečević

Abstract

Modern social trends are intensively transforming supply chains and the last mile as their most complex and most expensive segment. For the realization of the last mile, various solutions can be defined which combine initiatives, technologies, and concepts of city logistics. The successful implementation of these solutions depends on the characteristics of the city, the goals of stakeholders, and the ability to achieve economic, social, and environmental sustainability. In accordance with that, this paper defines innovative sustainable last mile solutions and evaluates their potential application in the real-life logistics system of the city. As evaluation requires consideration of a large number of criteria, this is a problem of multicriteria decision-making, and for solving it, a novel hybrid model that combines Delphi, FARE (Factor Relationship), and VIKOR (Višekriterijumska Optimizacija i Kompromisno Rešenje) methods in the fuzzy environment has been developed. The applicability of the model is demonstrated in the example of evaluating the last mile solution for the central business district of the City of Belgrade. A combination of microconsolidation centers and autonomous vehicles is obtained as the most favorable solution.

Suggested Citation

  • Mladen Krstić & Snežana Tadić & Milovan Kovač & Violeta Roso & Slobodan Zečević, 2021. "A Novel Hybrid MCDM Model for the Evaluation of Sustainable Last Mile Solutions," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-17, October.
    • Handle: RePEc:hin:jnlmpe:5969788
    DOI: 10.1155/2021/5969788
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    Citations

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    Cited by:

    1. Milovan Kovač & Snežana Tadić & Mladen Krstić & Miloš Veljović, 2023. "A Methodology for Planning City Logistics Concepts Based on City-Dry Port Micro-Consolidation Centres," Mathematics, MDPI, vol. 11(15), pages 1-21, July.
    2. Snežana Tadić & Mladen Krstić & Ljubica Radovanović, 2024. "Assessing Strategies to Overcome Barriers for Drone Usage in Last-Mile Logistics: A Novel Hybrid Fuzzy MCDM Model," Mathematics, MDPI, vol. 12(3), pages 1-25, January.
    3. Mladen Krstić & Giulio Paolo Agnusdei & Pier Paolo Miglietta & Snežana Tadić & Violeta Roso, 2022. "Applicability of Industry 4.0 Technologies in the Reverse Logistics: A Circular Economy Approach Based on COmprehensive Distance Based RAnking (COBRA) Method," Sustainability, MDPI, vol. 14(9), pages 1-30, May.
    4. Maja Kiba-Janiak & Katarzyna Cheba & Magdalena Mucowska & Leise Kelli de Oliveira, 2022. "Segmentation of e-customers in terms of sustainable last-mile delivery," Oeconomia Copernicana, Institute of Economic Research, vol. 13(4), pages 1117-1142, December.
    5. Mladen Krstić & Giulio Paolo Agnusdei & Snežana Tadić & Pier Paolo Miglietta, 2023. "Prioritization of e-traceability drivers in the agri-food supply chains," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 11(1), pages 1-26, December.
    6. Mladen Krstić & Snežana Tadić & Valerio Elia & Stefania Massari & Muhammad Umar Farooq, 2023. "Intermodal Terminal Subsystem Technology Selection Using Integrated Fuzzy MCDM Model," Sustainability, MDPI, vol. 15(4), pages 1-17, February.
    7. Sandra Alvarez Gallo & Julien Maheut, 2023. "Multi-Criteria Analysis for the Evaluation of Urban Freight Logistics Solutions: A Systematic Literature Review," Mathematics, MDPI, vol. 11(19), pages 1-24, September.
    8. Miloš Veljović & Snežana Tadić & Mladen Krstić, 2024. "Last Word in Last-Mile Logistics: A Novel Hybrid Multi-Criteria Decision-Making Model for Ranking Industry 4.0 Technologies," Mathematics, MDPI, vol. 12(13), pages 1-30, June.

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